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Medeiros, Aylton Hugo Graça de. "Equity research - Samsung Electronics Co., Ltd." Master's thesis, Instituto Superior de Economia e Gestão, 2020. http://hdl.handle.net/10400.5/20944.
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Mestrado em FinançasO seguinte trabalho consiste em uma avaliação do valor das ações da Samsung Electronics Co., Ltd. para o ano 2020, os pressupostos adotados para a previsão dos próximos cinco anos (2020F-2024F) foram baseados no desempenho histórico dos últimos quatro anos (2016-2019). Este trabalho foi elaborado em conformidade com as recomendações do CFA Institute. Eu escolhi fazer este trabalho sobre a Samsung Electronics Co., Ltd. devido a magnitude e presença global da marca através dos seus produtos e serviços nas diversas indústrias e setores onde atua. Além disso, a minha empatia pessoal com a marca que sempre utilizei desde a minha juventude motivou e ajudou-me a tomar esta decisão. O principal método utilizado para a avaliação foi o método do Fluxo de Caixa Descontado, cujo resultado definiu o preço-alvo de €68 624. Também foram utilizados métodos relativos, do qual os resultados encontrados também reforço a recomendação da COMPRA. Apesar da presente situação de pandemia global onde existe algum grau de incerteza quanto ao final do vírus e das suas consequências, o início do uso de tecnologia 5G em diversos países irão valorizar a ação. No entanto, levando em consideração o grau de incerteza causado pelo COVID-19 e o preço alvo alcançado, emitimos uma recomendação de COMPRA com risco médio.
The following work consists of an Equity Research of Samsung Electronics Co., Ltd. for the year ending 2020F, the assumptions adopted for the forecast of the next five years (2020F-2024F) were based on the historical performance of the past four years (2016-2019). This work was written in accordance with the recommendations of the CFA Institute. I choose to evaluate Samsung Electronics Co., Ltd. on the back of the magnitude and global presences of the brand through its products and services across several industries and sectors where it operates. In addition, my personal empathy with the brand that I have always use since my youth have also motivated and helped me taking this decision. This work was written contemplating public information available until November 3rd, 2020, hence, any information or event after this date has not been considered. The main method used for the valuation was the Discounted Cash Flow method, in which the result set the price target of €8361; 68 624. Relative methods were also used, which reinforced the BUY recommendation. Despite the current situation of global pandemic where some degree of uncertainty regarding the end of the pandemic and its effects, the starting of the 5G utilization in several countries will boost the stock value. Nonetheless, considering the current global pandemic and the target pricing, we issue a BUY recommendation with medium risk.
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Taylor, Brian D. "When finance leads planning : the influence of public finance on transportation planning and policy in California /." Berkeley : University of California Transportation Center, 1992. http://www.uctc.net/research/diss001.pdf.
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Manchikalapudi, Lakshminarayana. "Transportation problems faced after big earthquakes." Thesis, Virginia Tech, 1991. http://hdl.handle.net/10919/41684.
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Transportation facilities and services provide the cornerstones to the rescue and response operations after a big earthquake. This study appraises the transportation actions taken by the authorities in the immediate aftermath of the Loma Prieta Earthquake of October 17, 1989. The failure of several transportation structures had a significant impact on rescue operations, traffic congestion and change in travel patterns in the San Francisco Bay Area. Emphasis is placed on travel demand management strategies adopted to meet the travel needs in the Bay Area and to return traffic to normalcy. The short-term and long-term impacts of closures of certain highways due to a 7.5 magnitude earthquake are also addressed in this research.
Recent predictions by the United States Geological Survey show that there is a 67 percent chance of a big earthquake of 7.5 magnitude happening in the Bay Area before the year 2020. Therefore, there is a dire need to look at the transportation problems that the Bay Area might face if the "Big One" really hits. It is also important to note that certain bridges play a major role in the cross-bay transportation. Hence, the failure of such critical links would greatly influence the mobility of the citizens in the region. A macro-level measure referred to as "Weighted Roadway Congestion index" (RCIW) is developed to assess the severity of the closures of these links. To fulfill this objective, scenario analysis is performed for the expected closures in the San Francisco Bay Area. It is important to note that the macro-level measure developed is applicable only to urban areas. This research also aims at identifying the key network parameters, such as number of lane-miles per freeway exit and freeway network connectivity that impact roadway congestion after earthquakes.Master of Science
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Ng, Yee Sian. "Advances in data-driven models for transportation." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122100.
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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 163-176).
With the rising popularity of ride-sharing and alternative modes of transportation, there has been a renewed interest in transit planning to improve service quality and stem declining ridership. However, it often takes months of manual planning for operators to redesign and reschedule services in response to changing needs. To this end, we provide four models of transportation planning that are based on data and driven by optimization. A key aspect is the ability to provide certificates of optimality, while being practical in generating high-quality solutions in a short amount of time. We provide approaches to combinatorial problems in transit planning that scales up to city-sized networks. In transit network design, current tractable approaches only consider edges that exist, resulting in proposals that are closely tethered to the original network. We allow new transit links to be proposed and account for commuters transferring between different services. In integrated transit scheduling, we provide a way for transit providers to synchronize the timing of services in multimodal networks while ensuring regularity in the timetables of the individual services. This is made possible by taking the characteristics of transit demand patterns into account when designing tractable formulations. We also advance the state of the art in demand models for transportation optimization. In emergency medical services, we provide data-driven formulations that outperforms their probabilistic counterparts in ensuring coverage. This is achieved by replacing independence assumptions in probabilistic models and capturing the interactions of services in overlapping regions. In transit planning, we provide a unified framework that allows us to optimize frequencies and prices jointly in transit networks for minimizing total waiting time.
by Yee Sian Ng.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center
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Jeong, Young-Sik. "Optimal military transportation in a Korean wartime theater." Thesis, Monterey California. Naval Postgraduate School, 2006. http://hdl.handle.net/10945/2439.
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Due to their high dependency on highway transportation, Republic of Korea's (ROK's) military and industry suffer from congestion, shortfall of means (convoys in the military case), high cost and increase in environmental damage. Our research develops an optimization model to guide TOK's military planning using multi-modal transportation. We apply our Military Logistics Transportation Model (MLTM) to a realistic scenario. MLTM provides guidance on the optimal frequency of transportation services and the optimal routes for the freight. By comparing the solution of MLTM with current practice for Wartime Transportation Planning (represented by a heuristic method), our MLTM can reduce the transportation cost up to 29%. This is enabled by the activitation of multi-modal transportation and service sharing by multiple demands. We also analyze scenarios in which either sea-port of debarkation (SPOD) where the supply originates has been shut down by enemy attacks. We find that losing Busan SPOD is more damaging than losing Kwangyang SPOD.
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Mancheva, Marta. "Hidden Transcripts on Public Transportation: A Meta-Methodological Exploration of Visual Ethnography in Qualitative Transportation Research." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-259147.
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Better understanding of urban travelers is necessary, as sustainable development is becoming an integral part of transportation policy and practice. A volume of research shows people’s expressed willingness to adopt more sustainable urban travel behaviours, but a general sense of resistance to change is often encountered. Current methods in transportation research are not able to fully grasp on individual motivations such as discontent with public transport. This gap of knowledge in qualitative transportation research calls for the development of new methods. James Scott’s concept of the hidden transcript allows for the assumption that there are expressions of dissatisfaction towards public transportation at grassroots level. In order to access hidden transcripts on public transportation in Stockholm there is a need for a new method, which is developed in this thesis. The proposed visual mixed method draws from principles of visual ethnography, virtual ethnography, nethnography and social media research. The methodology is then tested and assessed as a platform to give voice to hidden transcripts on public transportation. The choice of method for developing the method is meta-methodology. The discussion sheds light on the potential of the framework (1) to grant access to hidden transcripts; (2) to fill a knowledge gap in transportation qualitative research; (3) to assist planners towards sustainable development of urban transportation.
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King, David Andrew. "Exploring the localization of transportation planning essays on research and policy implications from shifting goals in transportation planning /." Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1876284401&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
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Bell, David W. R. (David William Roy) Carleton University Dissertation Engineering Civil. "Towards a policy for establishing multimodal passenger terminals in Canada." Ottawa, 1988.
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Matsumori, Barry Alan. "QUALIFICATION RESEARCH FOR RELIABLE, CUSTOM LSI/VLSI ELECTRONICS." Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/275313.
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Gopal, Kartik. "Modeling and Optimization of Hospital Transportation System." University of Akron / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1481314351566885.
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Hall, William D. (William David) 1968. "Efficient capacity allocation in a collaborative air transportation system." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/8786.
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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, Operations Research Center, 1999.Includes bibliographical references (p. 177-180).
This thesis proposes methods of allocating airport capacity to the users of the National Airspace System (NAS) during periods in which demand for the resources exceeds capacity. A metric by which the proposed methods are judged is the value that the users of the N AS are able to realize through the allocation. Maximization of this metric produces notably different results from minimization of flight-minutes of delay and similar objectives employed in related works. The heart of this approach is the treatment of the Federal Aviation Administration (FAA) and the NAS users as solvers of subproblems in a decomposition of the overall problem of determining how to operate the system. The best possible capacity allocation method would allow the users, to achieve the same result collectively that a single omniscient entity in control of all decisions in the system could achieve. The typical approach to decomposition employed in optimization, that of modifying the subproblem objectives through a penalty function determined by a master "dual" problem, is employed in the Objective-Based Allocation Method (OBAM). It is shown that the proper choice of penalty function results in a method that performs well dynamically and, assuming each user operates to maximize its operating objectives through the allocation, achieves the optimal solution that an omniscient single controller would achieve. OBAM requires complete communication of user objectives and constraints to achieve optimality. It also requires that the penalty functions used to coordinate the subproblem solutions be added to the user objective functions through assessment of fees. The second part of this thesis addresses the improvement of the decomposition by changing the nature of the allocation without these requirements. Rather than allocate airport arrival capacity alone, a more general notion of airport capacity that captures the interactions between arrival and departure processes at an airport is allocated. This allows the users the flexibility to adjust the operations mix of the airport according to their objectives and improves the ability of the system to match demand to forecast airport capacity. Through simulation, it is shown that this approach could improve significantly on the primary metric of achieving user value. In addition, the approach facilitates side benefits, such as the reduction of fuel consumption, the reduction of harmful emissions into the environment, and the improvement of service reliability for the flying public.
by William D. Hall.
Ph.D.
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Wang, Hai Ph D. Massachusetts Institute of Technology. "Design and operation of a last mile transportation system." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98568.
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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2015.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 143-149).
The Last Mile Problem refers to the provision of travel service from the nearest public transportation node to a home or office. Last Mile Transportation Systems (LMTS) are critical extensions to traditional public transit systems. We study the LMTS from three perspectives. The first part of this thesis focuses on the design of a LMTS. We study the supply side of LMTS in a stochastic setting, with batch demands resulting from the arrival of groups of passengers at rail stations or bus stops who request last-mile service. Closed-form bounds and approximations are derived for the performance of LMTS as a function of the fundamental design parameters of such systems. It is shown that a particular strict upper bound and an approximate upper bound perform consistently and remarkably well. These expressions can therefore be used for the preliminary planning and design of Last Mile Transportation Systems. The second part of the thesis studies operating strategies for LMTS. Routes and schedules are determined for a multi-vehicle fleet of delivery vehicles with the objective of minimizing the waiting time and riding time of passengers. A myopic operating strategy is introduced first. Two more advanced operating strategies are then described, one based on a metaheuristic using tabu search and the other using an exact Mixed Integer Programming model, which is solved approximately in two stages. It is shown that all three operating strategies greatly outperform the naive strategy of fixed routes and fixed vehicle dispatching schedules. The third part presents a new perspective to the study of passenger utility functions in a LMTS. The unknown parameters of a passenger utility function are treated as unobserved events, and the characteristics of the transportation trips made by the passengers are treated as observed outcomes. We propose a method to identify the probability measures of the events given observations of the frequencies of outcomes by introducing the concept and assumptions of the Core Determining Class. We introduce a combinatorial algorithm in which the noise in the observations data is ignored and a general procedure in which data noise is taken into consideration.
by Hai Wang.
Ph. D.
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Tsang, Kwan-ming. "Application of operation research techniques for forecasting transportation demand, planning train services and station facilities of the MTRC." Hong Kong : The University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record/B42574717.
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Frazier, Kyle Andrew. "The role of research in improving infrastructure : an analysis of U.S. transportation research & development." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62057.
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Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2010.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 99-102).
Infrastructure systems are central to quality of life and economic competitiveness in nations worldwide, but daunting challenges stand in the way of providing systems capable of delivering needed infrastructure services. In the United States, the transportation system, which is widely considered to be the nation's largest infrastructure system, provides a case study of the complex investment, design, and operations-related problems of infrastructure service provision. An effective and efficient research and development (R&D) system is needed to support the search for solutions to these problems; the nation is served by a large and well-developed transportation R&D system, but given the magnitude of outstanding needs for new technologies, systems, and policies and the persistence of resource shortfalls, it is appropriate to re-examine all aspects of the transportation R&D enterprise in search of strategies for improving its performance. This thesis identifies and analyzes factors that influence the performance of the transportation R&D system and how it can respond to emerging infrastructure challenges. It first discusses categories and characteristics of infrastructure and seeks to place analysis of infrastructure systems, like the transportation system, in a broader socio-economic and environmental context. The thesis then outlines the basic composition of the transportation research and development system and explores the policy environment and critical issues that influence both transportation R&D challenges and the behavior of the system in response to those challenges. Data on transportation R&D expenditures, including longitudinal data for the sector as well as limited cross-sectoral comparisons to place it in context, is presented. Finally, examination of issues (like coordination and integration) related to the structure of the R&D system, is included to frame the prior analysis of expenditures within a broader range of potential strategies for improving the efficiency and effectiveness of the transportation R&D system.
by Kyle Andrew Frazier.
S.M.in Technology and Policy
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Jernigan, Nicholas R. (Nicholas Richard). "Multi-modal, multi-period, multi-commodity transportation : models and algorithms." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91399.
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Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2014.33
"June 2014." Cataloged from PDF version of thesis.
Includes bibliographical references (pages 51-54).
In this paper we present a mixed integer optimization framework for modeling the shipment of goods between origin destination (O-D) pairs by vehicles of different types over a time-space network. The output of the model is an optimal schedule and routing of vehicle movements and assignment of goods to vehicles. Specifically, this framework allows for: multiple vehicles of differing characteristics (including speed, cost of travel, and capacity), transshipment locations where goods can be transferred between vehicles; and availability times for goods at their origins and delivery time windows for goods at their destinations. The model is composed of three stages: In the first, vehicle quantities, by type, and goods are allocated to routes in order to minimize late deliveries and vehicle movement costs. In the second stage, individual vehicles, specified by vehicle identification numbers, are assigned routes, and goods are assigned to those vehicles based on the results of the first stage and a minimization of costs involved with the transfer of goods between vehicles. In the third stage we reallocate the idle time of vehicles in order to satisfy crew rest constraints. Computational results show that provably optimal or near optimal solutions are possible for realistic instance sizes.
by Nicholas R. Jernigan.
S.M.
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Roels, Guillaume. "Information and decentralization in inventory, supply chain, and transportation systems." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36228.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2006.Includes bibliographical references (p. 199-213).
This thesis investigates the impact of lack of information and decentralization of decision-making on the performance of inventory, supply chain, and transportation systems. In the first part of the thesis, we study two extensions of a classic single-item, single-period inventory control problem: the "newsvendor problem." We first analyze the newsvendor problem when the demand distribution is only partially specified by some moments and shape parameters. We determine order quantities that are robust, in the sense that they minimize the newsvendor's maximum regret about not acting optimally, and we compute the maximum value of additional information. The minimax regret approach is scalable to solve large practical problems, such as those arising in network revenue management, since it combines an efficient solution procedure with very modest data requirements. We then analyze the newsvendor problem when the inventory decision-making is decentralized. In supply chains, inventory decisions often result from complex negotiations among supply partners and might therefore lead to a loss of efficiency (in terms of profit loss).
(cont.) We quantify the loss of efficiency of decentralized supply chains that use price-only contracts under the following configurations: series, assembly, competitive procurement, and competitive distribution. In the second part of the thesis, we characterize the dynamic nature of traffic equilibria in a transportation network. Using the theory of kinematic waves, we derive an analytical model for traffic delays capturing the first-order traffic dynamics and the impact of shock waves. We then incorporate the travel-time model within a dynamic user equilibrium setting and illustrate how the model applies to solve a large network assignment problem.
by Guillaume Roels.
Ph.D.
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Mellou, Konstantina. "Resource scheduling and optimization in dynamic and complex transportation settings." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122387.
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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 145-151).
Resource optimization has always been a challenge both in traditional fields, such as logistics, and particularly so in most emerging systems in the sharing economy. These systems are by definition founded on the sharing of resources among users, which naturally creates many coordination needs as well as challenges to ensure enough resource supply to cover customer demand. This thesis addresses these challenges in the application of vehicle sharing systems, as well as in the context of multi-operation companies that provide a wide range of services to their users. More specifically, the first part of this thesis focuses on models and algorithms for the optimization of bike sharing systems. Shortage of bikes and docks is a common issue in bike sharing systems, and, to tackle this problem, operators use a fleet of vehicles to redistribute bikes across the network.
We study multiple aspects of these operations, and develop models that can capture all user trips that are performed successfully in the system, as well as algorithms that generate complete redistribution plans for the operators to maximize the served demand, in running times that are fast enough to allow real-time information to be taken into account. Furthermore, we propose an approach for the estimation of the actual user demand which takes into account both the lost demand (users that left the system due to lack of bikes or docks) and shifted demand (users that had to walk to nearby stations to find available resources). More accurate demand representations can then be used to inform better decisions for the daily operations, as well as the long-term planning of the system. The second part of this thesis is focused on schedule generation for resources of large companies that must support a complex set of operations.
Different operation types come with a variety of constraints and requirements that need to be taken into account. Moreover, specialized employees with a variety of skills and experience levels are required, along with an heterogeneous fleet of vehicles with various properties (e.g., refrigerator vehicles). We introduce the Complex Event Scheduling Problem (CESP), which captures known problems such as pickup-and-delivery and technician scheduling as special cases. We then develop a unified optimization framework for CESP, which relies on a combination of metaheuristics (ALNS) and Linear Programming. Our experiments show that our framework scales to large problem instances, and may help companies and organizations improve operation efficiency (e.g., reduce fleet size).
by Konstantina Mellou.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center
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Keen, Keith Malcolm. "Antenna systems research." Thesis, University of Greenwich, 1999. http://gala.gre.ac.uk/13337/.
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This thesis is an overview of a number of investigations on antenna systems and related subjects over a period of 28 years, which has resulted in 44 publications in the technical literature, one current patent, and an M.Sc. thesis. The investigations have been grouped into 7 categories: - Log periodic antennas, - Antenna performance measurement techniques, - Spacecraft Antenna Systems, - Satcom Terminal Antennas, - Transmission lines and baluns, - High Radar Cross Section Reflectors for Spaceborne Radar Calibration, - Miscellaneous Antenna Investigations. These investigations have resulted in various outcomes: in new antenna types and in improved antenna configurations; in improved techniques for antenna rf performance evaluation; in new knowledge relating to materials used with spacecraft antenna systems; in the development of computer software and computer-numerical methods for specific purposes; and in the advancement of accurate radar cross section prediction methods for spaceborne radar calibration targets. In the discipline of log-periodic antennas, a planar 'printed circuit 1 antenna structure has been devised which has a toroidal shaped radiation pattern distribution with horizontal linear polarization. A non-planar form of this radiating structure with a unidirectional beam has also been demonstrated. Some new techniques for measuring the rf characteristics of antenna systems have been devised. These include special techniques for frequency scaled ship model hf radar antenna measurements, and techniques for measuring scattering from the feed support struts of large Earth station parabolic reflector antennas. A novel method of acquiring near field phase and amplitude data using an interference technique for determining antenna far field performance characteristics by near field to far field data processing transformation has been demonstrated. Correction factors which allow gain comparison measurements to be made in short range length facilities, such as certain types of anechoic chamber, have also been presented. Antenna measurement techniques which are applicable to spacecraft antenna systems have been reviewed. With regard to spacecraft antenna systems, a number of diverse studies have been carried out, one of which has resulted in the composition of a mathematical procedure for predicting the complex beamshapes of contoured beam satellite reflector antenna systems. Also, experimental work has been described which showed that spacecraft reflector antennas constructed with carbon fibre reinforced plastics do not require metallic surface coatings, and that thermal control paint applied to spacecraft does not cause antenna performance degradation. Other programmes of research involved VHP turnstile antenna systems on large satellites, and future technology, geostationary orbit multi-role satellites with 'plug-in' payloads. New satcom terminal antenna configurations has been a very important area of research, resulting in high performance circularly polarized antenna configurations for small terminals for maritime, aeronautical and land-mobile applications. A patent has also been granted on a very compact antenna system for a satellite paging receiver. Many types of antenna require a balun system of some type, often with impedance transformation, for excitation of the radiating elements. A mathematical analysis which allows the design of one type of impedance transforming balun has been presented, and a new microstrip and coaxial cable balun system with progressive quadrature phase output (for the excitation of quadrifilar antennas) has been demonstrated. Very large radar cross section (RCS) passive radar reflectors are used for the monostatic calibration of spaceborne synthetic aperture radars on Earth resource monitoring satellites. A computer-numerical technique for accurately determining the RCS of these large reflectors was devised and has been extensively used. Other aspects of large radar reflector operation were also investigated, such as RCS reduction due to construction errors and radome covers Publications relating to a number of other miscellaneous antenna investigations are also included in this thesis. Among these are descriptions and performance details of choked waveguide and printed dipole feeds for parabolic reflector antennas, a special purpose antenna for a remotely piloted vehicle, and some results from an investigation on a double offset reflector antenna system. The publications which are the subject of this thesis, are introduced here in their historical context, and are presented in the Appendix at the back of this volume.
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Nobe, Steve. "On-line estimation of traffic split parameters based on lane counts." Diss., The University of Arizona, 2002. http://hdl.handle.net/10150/280239.
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Adaptive traffic control systems need to continuously monitor traffic conditions and predict immediate traffic conditions to respond to changes in both recurrent and nonrecurrent traffic patterns. One measure of traffic conditions is the number of turning vehicles at intersections and freeway offramps. Split parameters may be estimated from the numbers of turning vehicles, and along with upstream traffic counts, these may be used to predict the numbers of downstream vehicle arrivals. This study develops several responsive methods to estimate split parameters for four-legged intersections and freeway segments from vehicle counts. For intersections, these methods depend on the geometric layout of the intersection and the signal stage. The vehicle counts are collected by signal stages and lanes. The split parameters or turning proportions are estimated for each signal stage and, then they are combined to estimate the turning proportions for the entire interval. Some methods need counts for only one cycle to estimate turning proportions while others need additional data. For those methods that need additional data, four closed-form estimation methods are developed. Two methods need prior turning proportion estimates: (1) maximum entropy (ME) and (2) generalized least-squared error (GLS). The other methods require counts for three cycles: (3) least-squared error (LS) and (4) least-squared error/generalized least-squared error (LS/GLS). Results from these methods are compared with each other. The ME, GLS and LS methods which use cycle counts are also developed and their results are compared with the results of their stage-count counterparts. For freeway segments, a virtual box method for consistent vehicle counting is developed. Three split parameter estimation methods are developed for freeway segments. One method, GLS, uses counts, from one virtual box and requires prior split parameter estimates. The other methods, LS and GLS/LS, need several virtual boxes, depending on the number of interchanges in the freeway segment. Split parameter estimation approaches are also developed for small road networks by combining split parameters from individual intersections and freeway segments.
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Cummings, A. D. "Characterising the mechanical loads acting on nuclear packages during rail transportation." Thesis, Liverpool John Moores University, 2016. http://researchonline.ljmu.ac.uk/4666/.
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The safe transportation of new and spent nuclear fuel is an essential part of the nuclear fuel cycle. The aim of this thesis was to obtain a more thorough understanding of the mechanical loading acting on heavy nuclear packages during rail transportation. There were two motivating factors for this study. Firstly, the design of equipment used to tie down a package to its conveyance has become more challenging with the recent trend of increasing package mass; often exceeding 100 tonnes. This difficulty is due to the advisory acceleration factors recommended for design. Despite widespread acceptance that the factors ensure safety, it is also recognised that for heavier packages they can be prohibitive and result in over engineered tie down systems. Secondly, transportation imparts complex dynamic mechanical loading on packages and the fuel assemblies within them. There have been no reported instances in the UK of problems caused by fuel vibrations. However international studies have prompted this investigation. A rail wagon and tie down system for a 100 tonne package were instrumented with accelerometers and strain gauges. The measurements were taken during a routine rail journey from Barrow-in-Furness to Sellafield. Continuous data was digitally recorded with a sampling rate sufficient to capture shock and vibrations up to 100 Hz. Accelerometers were selected to measure very low frequencies to capture quasi-static loading. Investigation of the frequency content of the accelerations indicated that digital filtering of the data is necessary to determine the magnitudes of the structural loading on tie downs. A method for designing a suitable filter has been developed. A sensitivity analysis of different filters indicated there is a possibility for over estimating loads based on measured data due to poor filter design. Industrial design of tie downs using FEA requires pragmatic run times. This motivated a comparison of the measured strain time histories with the results of a linear static FEA model. The correlation between measured and predicted strains, was strong at frequencies < 3.5 Hz. A residuals analysis indicated that the model predicted the underlying strain process accurately. The methods described are generic and adaptable. They will aid any future experimental work, to characterise shock, vibration and quasi-static loads acting on nuclear packages and their ancillary equipment.
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Al-Dawood, Abdullah Saad. "Transportation and economic development evaluation model." Diss., Virginia Tech, 1990. http://hdl.handle.net/10919/39905.
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The system dynamics methodology is used to develop a computer simulation model to determine whether to add lanes to a congested highway or build a new, more direct, facility. Fundamental to this evaluation is the incorporation of non-user measures of effectiveness to go with the traditional highway user measures of effectiveness, such as the Benefit-Cost Ratio. In the system dynamics methodology three alternative forms of the model of a system are used: verbal, visual, and mathematical. The verbal description is diagrammatic and shows cause-and-effect relationships between many variables in a simple, concise manner. The visual model or "causal diagram" is translated into a mathematical model and system equations.
The model is comprised of four sectors:
1. population sector
2. economic sector
3. university sector
4. transportation sector
The model applies to the area of Blacksburg, Christiansburg and Roanoke (city and county). with special treatment to Virginia Tech through the university model. The simulation results of the non-user benefits along with user benefits is used to evaluate the alternatives in the Blacksburg-Christiansburg-Roanoke corridor.Ph. D.
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Lee, Seokjoo. "Exploiting the operational and research potential of archived transportation management data." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0041179.
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Akundi, Balakrishna. "Automated conversion of milepoint data to intersection/link structure : an application of GIS in transportation /." Thesis, Virginia Tech, 1990. http://hdl.handle.net/10919/41020.
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Network data restructuring is an essential function in Geographic Information Systems (GIS) when adapted to transportation. Implementing effective data restructuring models in GIS allows users to collect and maintain data in the format with which they are most familiar while allowing others to utilize it in a format they requ ire. Aggregation and disaggregation of network data facilitates storage, display and plotting times. There could however be important adverse effects. The effects of generalizing attribute data for aggregation/disaggregation is being researched here.
Milepoint referenced data in road inventory files provides valuable network information for transportation research. Individual records in these files represent variable length sections of roads. A new record is created each time a highway attribute changes. Consequently, a segment of road between two intersections may be represented by several records in a road inventory file. Further, all attributes in these records are associated with both directions of travel along a road.
Many transportation analysis models requ ire networks to be represented by a node-link structure where nodes symbolize an intersection of two or more roads. Further, if a road is two directional, it is represented by two links each of which has its own set of attributes. To utilize road inventory data in these analysis models, network information has to be converted into an intersection/link format. This process involves aggregating· and disaggregating attribute data to represent longer and shorter road segments and also disaggregating data into bi-directional information.
This thesis describes data conversion efforts needed to produce intersectionllink network representations. The development of a microcomputer model for data conversion is detailed and application issues and model sensitivities are addressed.
Master of Science
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Martin, Sébastien Ph D. Massachusetts Institute of Technology. "The edge of large-scale optimization in transportation and machine learning." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122388.
Full textAbstract:
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 273-284).
This thesis focuses on impactful applications of large-scale optimization in transportation and machine learning. Using both theory and computational experiments, we introduce novel optimization algorithms to overcome the tractability issues that arise in real world applications. We work towards the implementation of these algorithms, through software contributions, public policy work, and a formal study of machine learning interpretability. Our implementation in Boston Public Schools generates millions of dollars in yearly transportation savings and led to important public policy consequences in the United States. This work is motivated by large-scale transportation problems that present significant optimization challenges. In particular, we study the problem of ride-sharing, the online routing of hundreds of thousands of customers every day in New York City.
We also contribute to travel time estimation from origin-destination data, on city routing networks with tens of thousands of roads. We additionally consider the problem of school transportation, the scheduling of hundreds of buses to send tens of thousands of children to school everyday. This transportation problem is related to the choice of school start times, for which we also propose an optimization framework. Building on these applications, we present methodological contributions in large- scale optimization. We introduce state-of-the-art algorithms for scheduling problems with time-window (backbone) and for school bus routing (BiRD). Our work on travel time estimation tractably produces solutions to the inverse shortest path length problem, solving a sequence of second order cone problems. We also present a theoretical and empirical study of the stochastic proximal point algorithm, an alternative to stochastic gradient methods (the de-facto algorithm for large-scale learning).
We also aim at the implementation of these algorithms, through software contributions, public policy work (together with stakeholders and journalists), and a collaboration with the city of Boston. Explaining complex algorithms to decision-makers is a difficult task, therefore we introduce an optimization framework to decomposes models into a sequence of simple building blocks. This allows us to introduce formal measure of the "interpretability" of a large class of machine learning models, and to study tradeoffs between this measure and model performance, the price of interpretability.
by Sébastien Martin.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center
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Mntwini, Mkhonto. "Sustainble public bus transport services in the Nelson Mandela Bay." Thesis, Nelson Mandela Metropolitan University, 2016. http://hdl.handle.net/10948/11875.
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Purpose - Transport is a common constant variable found in just about every aspect of our lives as well as commercial activities; this is so because transport enables accessibility to people, places and goods. The effective management of public passenger transport operations is a more complex and all-embracing concept than what it may appear at first glance. Wider dispersed work place locations and urban sprawl is on the rise driven by among other factors the increased rate of globalisation. A unique opportunity is then presented in a developing country like South Africa for effective planning and management of public passenger bus operations. In the main, the purpose of this case study research was to develop a more sustainable public passenger transport bus operation to better connect people, places and goods. The organisation that will be studied is Blunden Coach Tours a luxury and semi-lux coach Tour operator, operating from the Nelson Mandela Bay. Design / Methodology / Approach – This study employed the case study research approach which was based on the qualitative research paradigm as such allowed for in-depth description and analysis of the case as well as related phenomena in real world context. The researcher focused only on the public passenger bus transport operations in Nelson Mandela Bay thus assuming a single context focus with a single case namely the development of a more sustainable public passenger transport operations in Nelson Mandela Bay. An embedded multiple unit of analysis strategy was employed selecting a sample of key persons responsible for strategic operational areas at Blunden Coach tours, sub-contractors and suppliers. The case study employed an in-depth probing interview process in an effort to better comprehend occurrences within the actual context of the events observed. The secondary sources of information gathered were used to structure and backup the interview questions. Practical implications – The case study enabled thought provoking insight which by virtue of South Africa’s historical socio-economic landscape offered an unusual perspective of the South African bus transport scene with a particular focus on environmental, regulatory and socio-economic sustainability considerations. A limitation to the study – The lack of responses to the interview questions from some of the key role players in the bus industry who were contacted as well as some of the respondents interviewed. The lack of responses to some of the interview questions could be perceived as a limitation to validating the Summary drawn from the study.
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Lorio, Berino. "Towards a non-intrusive traffic surveillance system using digital image processing." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52589.
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Thesis (MScEng)--Stellenbosch University, 2001.ENGLISH ABSTRACT: With the increased focus on the use of innovative and state-of-the-art technology in Intelligent Transport Systems (ITS), the need for more accurate and more detailed road traffic flow data has become apparent. Data obtained from vehicle detector loops, which merely act as vehicle presence sensors, is neither reliable nor accurate enough anymore. This type of sensor poses the problem that it has to be inserted into the road surface; temporarily obstructing traffic flows, and has to be replaced after pavement reconstruction. One of the solutions to this problem is to develop a traffic surveillance system that uses video image processing. In cities where Intelligent Transport Systems are used extensively, roadways are monitored through Closed Circuit Television Cameras (CCTV) that are closely watched by traffic control centre personnel. These cameras are mounted on posts on the roadside. These cameras can serve a dual purpose, being used for both human monitoring and as inputs to Video Image Processing Systems. In this study some of the digital image processing techniques that could be used in a traffic surveillance system were investigated. This report leads the reader through the various steps in the processing of a scene by a traffic surveillance system based on feature tracking, and discusses the pitfalls and problems that are experienced. The tracker was tested using three image sequences and the results are presented in the final chapter of this report.
AFRIKAANSE OPSOMMING: Met die toenemende fokus op die gebruik van innoverende oplossings en gevorderde tegnologie in Intelligente Vervoerstelsels, het die noodsaaklikheid van akkurater en meer gedetailleerde padverkeer vloeidata duidelik geword. Data wat verkry word d.m.v. voertuig deteksie lusse, wat alleenlik voertuig teenwoordigheid/afwesigheid meet, is nie meer akkuraat of betroubaar genoeg nie. Hierdie tipe sensors het egter die nadeel dat dit in die plaveisel ingesny moet word, dus vloei tydelik kan belemmer, en moet vervang word elke keer as plaveisel rekonstruksie gedoen word. Een van die oplossings vir hierdie probleem is om 'n verkeers waarnemingstelsel te ontwikkel wat van videobeeldverwerking gebruik maak. In stede waar van uitgebreide intelligente verkeerstelsels gebruik gemaak word, word paaie gemonitor d.m.v. geslote baan televisiekameras wat op pale langs die paaie aangebring is. Personeellede van die verkeers beheer sentrum hou dan die inkomende televisiebeelde dop. Hierdie kameras kan 'n dubelle rol vervul deurdat dit vir beide menslike waarneming en as invoer in 'n video-beeldverwerking stelsel gebruik kan word. In hierdie studie was verskeie digitale beeldverwerking tegnieke wat gebruik kan word in 'n verkeers waarnemingstelsel ondersoek. Hierdie verslag lei die leser deur die verskeie stappe in die verwerking van 'n toneel deur 'n verkeers waarneming stelsel wat gebaseer is op die volg van kenmerke. Die verslag beskryf ook die slaggate en probleme wat ondervind word. Die voertuig volger was getoets deur van drie reekse beelde gebruik te maak en die resultate word weergegee in die finale hoodfstuk van hierdie verslag.
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Subramanian, Shivaram. "Routing Algorithms for Dynamic, Intelligent Transportation Networks." Thesis, Virginia Tech, 1997. http://hdl.handle.net/10919/37056.
Full textAbstract:
Traffic congestion has been cited as the most conspicuous problem in traffic management. It has far-reaching economic,social and political effects. Intelligent Transportation Systems (ITS) research and development programs have been assigned the task of developing sophisticated techniques and counter-measures to reduce traffic congestion to manageable levels, and also achieve these objectives using area-wide traffic management methods. During times of traffic congestion, the traffic network in a transient, time-dynamic state, and resembles a dynamic network. In addition, in the context of ITS, the network can accurately detect such transient behavior using traffic sensors, and several other information gathering devices. In conjunction with Operations Research techniques, the time-varying traffic flows can be routed through the network in an optimal manner, based on the feedback from these information sources. Dynamic Traffic Assignment (DTA) methods have been proposed to perform this task. An important step in DTA is the calculation of user-optimal, system-optimal, and multiple optimal routes for assigning traffic. One would also require the calculation of user-optimal paths for vehicle scheduling and dispatching problems.
The main objective of this research study is to analyze the effectiveness of time-dependent shortest path (TDSP) algorithms and k-shortest path (k-SP) algorithms as a practical routing tool in such intelligent transportation networks. Similar algorithms have been used to solve routing problems in computer networks. The similarities and differences between computer and ITS road networks are studied. An exhaustive review of TDSP and k-SP algorithms was conducted to classify and determine the best algorithms and implementation procedures available in the literature. A new (heuristic) algorithm (TD-kSP) that calculates multiple optimal paths for dynamic networks is proposed and developed. A complete object-oriented computer program in C++ was written using specialized network representations, node-renumbering schemes and efficient path processing data structures (classes) to implement this algorithm. A software environment where such optimization algorithms can be applied in practice was then developed using object-oriented design methodology. Extensive statistical and regression analysis tests for various random network sizes, densities and other parameters were conducted to determine the computational efficiency of the algorithm. Finally, the algorithm was incorporated within the GIS-based Wide-Area Incident Management Software System (WAIMSS) developed at the Center for Transportation Research, Virginia Tech. The results of these tests are used to obtain the empirical time-complexity of the algorithm. Results indicate that the performance of this algorithm is comparable to the best TDSP algorithms available in the literature, and strongly encourages its possible application in real-time applications.
Complete testing of the algorithm requires the use of real-time link flow data. While the use of randomly generated data and delay functions in this study may not significantly affect its computational performance, other measures of effectiveness as a routing tool remains untested. This can be verified only if the algorithm itself becomes a part of the user-behavior feedback loop. A closed loop traffic simulation/ system-dynamics study would be required to perform this task. On the other hand, an open-loop simulation would suffice for vehicle scheduling/dispatching problems.Master of Science
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Wang, Hai Ph D. Massachusetts Institute of Technology. "Approximating the performance of a last mile transportation system." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78148.
Full textAbstract:
Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2012.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 113).
The Last Mile Problem (LMP) refers to the provision of travel service from the nearest public transportation node to a home or office. We study the supply side of this problem in a stochastic setting, with batch demands resulting from the arrival of groups of passengers at rail stations or bus stops who request last-mile service. Closed-form bounds and approximations are derived for the performance of Last Mile Transportations Systems as a function of the fundamental design parameters of such systems. An initial set of results is obtained for the case in which a fleet of vehicles of unit-capacity provides the Last Mile service and each delivery route consists of a simple round-trip between the rail station and bus stop and the single passenger's destination. These results are then extended to the general case in which the capacity of a vehicle is an arbitrary, but typically small (under 10) number. It is shown through comparisons with simulation results, that a particular strict upper bound and an approximate upper bound, both derived under similar assumptions, perform consistently and remarkably well for the entire spectrum of input values and conditions simulated. These expressions can therefore be used for the preliminary planning and design of Last Mile Transportation Systems, especially for determining approximately resource requirements, such as the number of vehicles/servers needed to achieve some pre-specified level of service.
by Hai Wang.
S.M.
S.M.in Transportation
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Nie, Xin 1969. "Graphic user interface for power electronic research facility." Thesis, McGill University, 1998. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=20511.
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This thesis synthesizes the development of a graphical user interface for multi-converter research facility using Visual C++ 4.0 and Microsoft Foundation Class library on Windows95 platform. The multi-converter research facility is used in flexible ac transmission system control. The design of the user interface follows the user-centered design philosophy. The main idea of the user-centered design is to produce the user interface for the convenience and efficiency of the user rather than the software designer.The user interface manages the data transfer between the hardware and user and allows the user to change the hardware settings via interactive dialogs. It also displays the current parameters running on the hardware, thus provides the user with a more convenient and efficient way of monitor the performance of the multi-converter research facility.
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Wang, Fang 1973. "A programmable display system for perceptual stability research /." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=31076.
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A programmable display system for perceptual stability research is presented. The display system involves 96 programmable, independent, two-colored LED outputs, and can display a video with the time resolution of one millisecond. Because of the high time resolution, this system provides a means to study humans' perceptual stability with high precision. The system may display up to 24,576 frames repeatedly after each download. Hardware for video download, saving, and display, and software for video design were developed and implemented. The hardware consists of a control module, a storage and interface module, and a display module. The software offers a graphical user interface (GUI). Using this display system, we carried out two preliminary experiments to test the saccade target theory of how humans perceive stability during eye movements.
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Fischer, Manfred M. "Computational Neural Networks: An attractive class of mathematical models for transportation research." WU Vienna University of Economics and Business, 1997. http://epub.wu.ac.at/4158/1/WSG_DP_5797.pdf.
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Zimmerman, Mark D. "In Vivo RF Powering for Advanced Biological Research." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1212429431.
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Ogilvie, David Bruce. "Shifting towards healthier transport? : from systematic review to primary research." Thesis, Connect to e-thesis, 2007. http://theses.gla.ac.uk/78/.
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Thesis (Ph.D.) - University of Glasgow, 2007.Continuous pagination. Ph.D. thesis submitted to the Medical Research Council Social and Public Sciences Unit, Faculty of Medicine, University of Glasgow, 2007. Includes bibliographical references. Print version also available.
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Tsang, Kwan-ming, and 曾坤明. "Application of operation research techniques for forecasting transportation demand, planning train services and station facilitiesof the MTRC." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B42574717.
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Erlandsson, Mikael. "Usability in Transportation : Improving the analysis of cognitive work tasks." Licentiate thesis, Uppsala : Department of Information Technology, Uppsala University, 2006. http://www.it.uu.se/research/publications/lic/2006-004/.
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Sheriff, Ray E. "The 2009 Electronics and Telecommunications Research Seminar Series: 8th Workshop Proceedings." University of Bradford, 2009. http://hdl.handle.net/10454/3559.
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YesThis is the eighth workshop to be organised under the postgraduate programmes in electrical and electronic engineering (EEE). The workshop concludes the Research Seminar Series, which has provided a platform for disseminating the latest research activities in related technologies through its weekly seminars. The EEE courses cover a broad range of technologies and this is reflected in the variety of topics presented during the workshop. In total, thirty-three papers have been selected for the proceedings, which have been divided into seven sections. The workshop aims to be as close to a `real¿ event as possible. Hence, authors have responded to a Call for Papers with an abstract, prior to the submission of the final paper. This has been a novel experience for many, if not all of the contributors. Clearly, authors have taken up the challenge with enthusiasm, resulting in what promises to be an interesting and informative workshop.
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Sheriff, Ray E. "The 2010 Electronics and Telecommunications Research Seminar Series: 9th Workshop Proceedings." University of Bradford, 2010. http://hdl.handle.net/10454/4355.
Full textAbstract:
yesThis is the ninth workshop to be organised under the postgraduate programmes in electrical and electronic engineering (EEE). The workshop concludes the Research Seminar Series, which has provided a platform for disseminating the latest research activities in related technologies through its weekly seminars. The EEE courses cover a broad range of technologies and this is reflected in the variety of topics presented during the workshop. In total, forty-four papers have been selected for the proceedings, which have been divided into eight sections. The workshop aims to be as close to a `real¿ event as possible. Hence, authors have responded to a Call for Papers with an abstract, prior to the submission of the final paper. This has been a novel experience for many, if not all of the contributors. As usual, authors have taken up the challenge with enthusiasm, resulting in a collection of papers that reflects today¿s research challenges.
School of Engineering, Design and Technology
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Ni, Ming. "Transportation Analytics and Last-Mile Same-Day Delivery with Local Store Fulfillment." Thesis, State University of New York at Buffalo, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10745024.
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The recent emergence of social media and online retailing become increasingly important and continue to grow. More and more people use social media to share their real life to the digital world, at the same time, browse the virtual Internet to buy the real products. In the process, a huge amount of data is generated and we investigate the data and crowdsourcing for areas of the public transportation and last-mile delivery for online orders in the perspective of data analytics and operations optimization.
We first focus on the transit flow prediction by crowdsourced social media data. Subway flow prediction under event occurrences is a very challenging task in transit system management. To tackle this challenge, we leverage the power of social media data to extract features from crowdsourced content to gather the public travel willingness. We propose a parametric and convex optimization-based approach to combine the least squares of linear regression and the prediction results of the seasonal autoregressive integrated moving average model to accurately predict the NYC subway flow under sporting events.
The second part of the thesis focuses on the last-mile same-day delivery with store fulfillment problem (SDD-SFP) using real-world data from a national retailer. We propose that retailers can take advantage of their physical local stores to ful?ll nearby online orders in a direct-to-consumer fashion during the same day that order placed. Optimization models and solution algorithms are developed to determine store selections, fleet-sizing for transportation, and inventory in terms of supply chain seasonal planning. In order to solve large-scale SDD-SFP with real-world datasets, we create an accelerated Benders decomposition approach that integrates the outer search tree and local branching based on mixed-integer programming and develops optimization-based algorithms for initial lifting constraints.
In the last part of the dissertation, we drill down SDD-SFP from supply chain planning to supply chain operation level. The aim is to create an optimal exact order ful?llment plan to specify how to deliver each received customer order. We adopt crowdsourced shipping, which utilizes the extra capacity of the vehicles from private drivers to execute delivery jobs on trips, as delivery options, and define the problem as same-day delivery with crowdshipping and store fulfillment (SDD-CSF). we develop a set of exact solution approaches for order fulfillment in form of rolling horizon framework. It repeatedly solves a series of order assignment and delivery plan problem following the timeline in order to construct an optimal fulfillment plan from local stores. Results from numerical experiments derived from real sale data of a retailer along with algorithmic computational results are presented.
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Dillon, Jeffrey Elliot. "The design of fixed routes in local area systems." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/25519.
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Schulz, Carsten. "Study of transportation and its planning resources in the German Joint Support Service." Thesis, Monterey, California : Naval Postgraduate School, 2010. http://edocs.nps.edu/npspubs/scholarly/theses/2010/Jun/10Jun%5FSchulz.pdf.
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Thesis (M.S. in Operations Research)--Naval Postgraduate School, June 2010.Thesis Advisor(s): Sanchez, Susan M.; Second Reader: Baez, Francisco R. "June 2010." Description based on title screen as viewed on July 13, 2010. Author(s) subject terms: Transportation, Logistics Battle Command, LVB, Simulation Analysis, Design of Experiments, DOE, Capability Gaps. Includes bibliographical references (p. 81-83). Also available in print.
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Orrell, James D. "GIS address-matching and transportation analysis." PDXScholar, 1990. https://pdxscholar.library.pdx.edu/open_access_etds/4133.
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Geographic Information System (GIS) address-matching combined with other GIS processing offers new analytical opportunities in the area of transportation planning and analysis. Address-matching, an automated method for generating geographically-referenced (geocoded) point locations on a map from common tabular databases, can facilitate transportation analysis by providing a planning tool based on individual rather than aggregated spatial distributions more common to transportation issues.
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Jian, Jun. "An Implementation of Resource Advertising and Discovery for Optical Research Networks." Thesis, University of Ottawa (Canada), 2010. http://hdl.handle.net/10393/28626.
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In optical research networks, the need to enable network users to dynamically provision and manage network resources inspired the development of the User Controlled Lightpath Provisioning System (UCLP). The UCLP version 2 (UCLPv2) is based on a service-oriented architecture in which network resources are abstracted as and managed via Web Services. It introduces a new concept, called Articulated Private Network, where end-users collect resources from several different domains to dynamically articulate and change their network topology.
In the current UCLPv2 system, the process of resource sharing is manual, usually error prone and inefficient. This thesis proposes, designs and implements a new functionality for resource advertising and discovery as an enhancement to the UCPv2 system. The new functionality describes the UCLPv2 resources based on the Resource Description Framework (RDF) and advertises them in directories. This allows automation of the resource advertising and discovery. By adopting RDF, the capability of sharing resources with other provisioning applications is achieved.
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Calmon, André du Pin. "Reverse logistics for consumer electronics : forecasting failures, managing inventory, and matching warranties." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98720.
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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2015.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 147-150).
The goal of this thesis is to describe, model, and optimize reverse logistics systems commonly used in the Consumer Electronics industry. The context and motivation for this work stem from a collaboration with an industrial partner, a Fortune 500 company that sells consumer electronics and is one of the top retailers in its sector. The thesis is divided into three parts. In the first part of the thesis we model and analyze the problem of forecasting failures of new products. When a new device is introduced to the market there is limited information available about its failure time distribution since most devices have yet to fail. However, there is extensive failure time data for prior devices, as well as evidence that the failure time distribution for new devices can be forecast from the data for prior devices. In this setting, we propose two strategies for forecasting the failure distribution of new products that leverages the censored failure observations for the new devices as well as this massive amount of data collected for prior devices. We validate these strategies using data from our industrial partner and using data from a social enterprise located in the Boston area. The second part of the thesis concerns inventory management in a reverse logistics system that supports the warranty returns and replacement for a consumer electronic device. This system is a closed-loop supply chain since failed devices are refurbished and are kept in inventory to be used as replacement devices or are sold through a side-sales channel. Furthermore, managing inventory in this system is challenging due to the short life-cycle of this type of device and the rapidly declining value for the inventory that could potentially be sold. We propose a stochastic model that captures the dynamics of inventory of this system, including the limited life-cycle and the declining value of inventory that can be sold off. We characterize the structure of the optimal policy for this problem. In addition, we introduce two heuristics: (i) a certainty-equivalent approximation, which leads to a simple closed form policy; and (ii) a dual balancing heuristic, which results in a more tractable newsvendor type model. We also develop a robust version of this model in order to obtain bounds for the overall performance of the system. The performance of these heuristics is analyzed using data from our industrial partner. The final part of the thesis concerns the problem faced by a consumer electronics retailer when matching devices in inventory to customers. More specifically, we analyze a setting where there are two warranties in place: (i) the consumer warranty, offered by the retailer to the consumer, and (ii) the Original Equipment Manufacturer (OEM) warranty, offered by the OEM to the retailer. Both warranties are valid for a limited period (usually 12 months), and once warranties expire, the coverage to replace or repair a faulty device ends. Thus, a customer does not receive a replacement if he/she is out of consumer warranty, and the retailer cannot send the device to the OEM for repairs if it is out of OEM warranty. The retailer would ideally like to have the two warranties for a device being matched, i.e., the customer would have the same time left in his consumer warranty as the device would have left in the OEM warranty. A mismatch between these warranties can incur costs to the retailer beyond the usual processing costs of warranty requests. Namely, since a device can fail multiple times during its lifecycle the replacement device sent to customers that file warranty requests can lead to out-of-OEM-warranty returns. In order to mitigate the number of out-of-OEM-warranty returns, we propose an online algorithm to match customers that have filed warranty claims to refurbished devices in inventory. The algorithm matches the oldest devices in inventory to the oldest customers in each period. We characterize the competitive ratio of this algorithm and, through numerical experiments using historical data, demonstrate that it can significantly reduce out of warranty returns compared to our partner's current strategy.
by Andre du Pin Calmon.
Ph. D.
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Terzano, Diego Orlando. "Simulation of flow control algorithm for multi-lane automated highway systems." [Gainesville, Fla.] : University of Florida, 2001. http://purl.fcla.edu/fcla/etd/UFE0000358.
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Thesis (M.S.)--University of Florida, 2001.Title from title page of source document. Document formatted into pages; contains x, 85 p.; also contains graphics. Includes vita. Includes bibliographical references.
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Gonçalves, João Sá Vinhas. "A Research Approach to Study Human Factors in Transportation Systems." Master's thesis, 2015. https://repositorio-aberto.up.pt/handle/10216/83535.
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This thesis proposes a new general-purpose methodology to conduct studies on Human Factors in Transportation Systems.A full-fledged setup and implementation of the methodology is provided for validation. This setup, which uses real data to perform the simulation, includes a traffic micro-simulator, a driving simulator, a traffic control centre and an Advanced Driver Assistance System, providing an experimentation laboratory, in which empirical research can be conducted. The communication between the simulation components is made interchangeably using both the European standard Datex II and the SUMO TraCI protocols.Several usage scenarios are implemented and indications on how to extend the methodology to accommodate different requirements are provided; as to prove its usability and feasibility. A simple Human Factors study was conducted using the implemented setup. This study uses naturalistc data and evaluates the network performance gain by using an Advanced Driver Assistance System that recommends new routes to drivers in congestion situations and provides a final validation of the methodology.In conclusion, the methodology has been proved usable to effectively conduct Human Factors research and also to develop Advanced Driver Assistance Systems applications in a controlled, yet realistic environment.This thesis proposes a new general-purpose methodology to conduct studies on Human Factors in Transportation Systems.A full-fledged setup and implementation of the methodology is provided for validation. This setup, which uses real data to perform the simulation, includes a traffic micro-simulator, a driving simulator, a traffic control centre and an Advanced Driver Assistance System, providing an experimentation laboratory, in which empirical research can be conducted. The communication between the simulation components is made interchangeably using both the European standard Datex II and the SUMO TraCI protocols.Several usage scenarios are implemented and indications on how to extend the methodology to accommodate different requirements are provided; as to prove its usability and feasibility. A simple Human Factors study was conducted using the implemented setup. This study uses naturalistc data and evaluates the network performance gain by using an Advanced Driver Assistance System that recommends new routes to drivers in congestion situations and provides a final validation of the methodology.In conclusion, the methodology has been proved usable to effectively conduct Human Factors research and also to develop Advanced Driver Assistance Systems applications in a controlled, yet realistic environment.
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Gonçalves, João Sá Vinhas. "A Research Approach to Study Human Factors in Transportation Systems." Dissertação, 2015. https://repositorio-aberto.up.pt/handle/10216/83535.
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This thesis proposes a new general-purpose methodology to conduct studies on Human Factors in Transportation Systems.A full-fledged setup and implementation of the methodology is provided for validation. This setup, which uses real data to perform the simulation, includes a traffic micro-simulator, a driving simulator, a traffic control centre and an Advanced Driver Assistance System, providing an experimentation laboratory, in which empirical research can be conducted. The communication between the simulation components is made interchangeably using both the European standard Datex II and the SUMO TraCI protocols.Several usage scenarios are implemented and indications on how to extend the methodology to accommodate different requirements are provided; as to prove its usability and feasibility. A simple Human Factors study was conducted using the implemented setup. This study uses naturalistc data and evaluates the network performance gain by using an Advanced Driver Assistance System that recommends new routes to drivers in congestion situations and provides a final validation of the methodology.In conclusion, the methodology has been proved usable to effectively conduct Human Factors research and also to develop Advanced Driver Assistance Systems applications in a controlled, yet realistic environment.This thesis proposes a new general-purpose methodology to conduct studies on Human Factors in Transportation Systems.A full-fledged setup and implementation of the methodology is provided for validation. This setup, which uses real data to perform the simulation, includes a traffic micro-simulator, a driving simulator, a traffic control centre and an Advanced Driver Assistance System, providing an experimentation laboratory, in which empirical research can be conducted. The communication between the simulation components is made interchangeably using both the European standard Datex II and the SUMO TraCI protocols.Several usage scenarios are implemented and indications on how to extend the methodology to accommodate different requirements are provided; as to prove its usability and feasibility. A simple Human Factors study was conducted using the implemented setup. This study uses naturalistc data and evaluates the network performance gain by using an Advanced Driver Assistance System that recommends new routes to drivers in congestion situations and provides a final validation of the methodology.In conclusion, the methodology has been proved usable to effectively conduct Human Factors research and also to develop Advanced Driver Assistance Systems applications in a controlled, yet realistic environment.
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Ting, Jou-Yin, and 丁柔吟. "A Research on the Influences of electronic Customer Relationship Management on Customer Segmentation and Procompetitive Alliance－Cases of Airlines Transportation." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/08416628276041346676.
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碩士中原大學
企業管理研究所
89
World Wide Web is an indefinite network, and it links the specific network of the airlines transportation industry in the whole world. The highly linked characteristics of WWW create individual customer groups and promote the new economy. Besides, it also simplifies the past agent-sales model and eliminates most members in the middle channel, thus the airlines transportation industry can contact customers directly. In the age of internet economy, if a company in this industry wants to promote it’s image and enhance it’s competitive advantage, the only way is to accelerate the responsive pace to fulfill the capability of Customer Relationship Management (CRM) as to achieve the aim of one-to-one marketing. CRM has been developed further to electronic CRM (eCRM) in the internet era which contains e-commerce and integration function of interactive front-end with analytic back-end. The purpose of this research is to explore the indices of customer segmentation and the characteristics of airlines transportation market to construct customer classification under eCRM environment. Furthermore, this research is aimed at customers of different segmentations to understand what marketing actions and strategies the industry should take. In customer-oriented era, the result of this research can provide consulting suggestions to airlines transportation company how to choose the target market(s) and adopt the corresponding marketing strategies. The method of this research is case study with interview and web data, and the research objects of domestic airlines transportation industry include China Airlines, EVA Airways Corporation, Mandarin Airlines, Trans Asia Airways and Far Eastern Air Transport (some of them are running multiple international lines). Before describing and analyzing these domestic cases, the American Airlines that first provided information and service through WWW in the whole world will be a benchmarking corporation in this research. And the conclusions and suggestions of this research have been reasoned and summarized as follows: 1. The establishment of CRM in domestic airlines transportation industry is still in it’s early stage; 2. Contacting with customers directly is a characteristic in internet era, airlines transportation industry should cooperate with identical and/or different industries that may increase customer satisfaction; 3. This industry classifies members in accordance with fundamental and transactional records at present, in the future, it should collect psychological and behavioral variables to classify customers to achieve better performance; 4. According to strategic consideration, the companies in this industry will choose pro-competitive alliances and cooperate together to provide excellent services to customers; 5. The airlines will need pro-competitive alliances to provide discount and comprehensive service to customers. As for personal and special services, because that is dealing with customers directly, these services should be handled by the airlines themselves. Furthermore, this research tries to establish a manageable model with indices of customer segmentation, customer classification and corresponding marketing strategies, and to provide reference materials to design the right marketing strategies.
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Yaqub, Omar Seddeq Omar. "Modeling, Analysis, and Simulation of Two Connected Intersections Using Discrete and Hybrid Petri Nets." 2014. http://hdl.handle.net/1805/3873.
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Indiana University-Purdue University Indianapolis (IUPUI)In recent decades, Petri nets (PNs) have been used to model traffic networks for different purposes, such as signal phase control, routing, and traffic flow estimation, etc. Because of the complex nature of traffic networks where both discrete and continuous dynamics come into play, the Hybrid Petri net (HPN) model becomes an important tool for the modeling and analysis of traffic networks. In Chapter 1 a brief historical summery about traffic systems control and then related work is mentioned followed by the major contributions in this research. Chapter 2 provides a theoretical background on Petri nets. In Chapter 3, we develop a HPN model for a single signalized intersection first, then we extend this model to study a simple traffic network that consists of two successive intersections. Time delays between different points of network are also considered in order to make the model suitable for analysis and simulation. In addition to HPN models, we also consider discrete Petri nets where their modeling simplicity enables the characterization of the occurrences of all events in the system. This discrete PN is particularly useful to give a higher-level representation of the traffic network and study its event occurrences and correlations. In Chapter 4, we build a discrete PN model to represent a traffic network with two successive intersections. However, we find that the model leads to unbounded places which cannot accurately reflect the dynamics of the traffic in terms of event occurrences. Hence, we introduce the Modified Binary Petri nets (MBPN) to overcome the limitation and resolve the confliction problem when we design our controllers. This MBPN model is a powerful tool and can be useful for the modeling and analysis of many other applications in traffic networks. Chapter 5 gives a summary for each chapter, provides conclusion and discusses future work for both discrete and hybrid Petri nets.
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HSIEH, FANG-YI, and 謝芳宜. "History Research of Intelligent Transportation Systems Based on Maritime Transportation." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/s5prq7.
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碩士國立高雄海洋科技大學
供應鏈管理研究所
105
Economic stability refers to a nation's development which includes some main elements like transportation. An improvement in a nation's transport system in terms of advanced and innovative technology, leads to an overall development of the economy. In Industry 4.0 ear, how the traditional industries or transportations meet the real trade world and set up the information systems of Industry 4.0 is the top issue. Intelligent Transportation Systems is an advanced control skill and an Artificial Intelligence. It characterized by complex architectures, comprising many functionalities and integrating different kinds of management and technical solutions. In regard to our logistics industries development, ITS might bring some great benefits. In Taiwan, we have a set of services, including 9 concepts in order to enhance and improve these features in all aspects of transport. Taiwan is a sea island. It is quite suitable for maritime transport. According to TPEC Website, around 80 per cent of the volume of Intel trade in goods is carried by sea. With the developing of Intelligent Maritime Transport and the European Commission e- maritime project, this study will compare of the in bond and out bond technologies, help to improve our Maritime Transport Industries.
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HUANG, PEI-GHIN, and 黃培欽. "The Research for Military Transportation Management to Intelligent Transportation System." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/3rv2m4.
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碩士世新大學
資訊管理學研究所(含碩專班)
106
Through integration and immediate control, ITS (Intelligent Transportation System) helps decision maker to give instructions. By constructing two-way data base and logistic frame, commander could control the logistical transportation at any time. However, the more important is ITS could combine transport system with C4ISR (command, control, communication, computer, intelligence, surveillance and reconnaissance) which could satisfy user’s demand. The purpose of this thesis is applying technology to enhance the effectiveness of military’s road transportation. In the digital age, ITS could help military gain the advantage by developing software system. Functions such as display, network, transmission, detection, monitor, control, operation and repair, United States has used ITS to improve command control, precision-guided weapon, effective transportation and protection. Through literature review and discussion, the study reveals military’s current situation and gives advices for future direction. Based on Grounded theory and Delphi method, reviewing the process of military’s logistical transportation, then making suggestions to improve current problem. The study reveals that ITS plays an important role in logistical transportation. Although there may be some problem and obstacles when introducing ITS to current system, we should still remain a precise foresight, planning to integrate ITS system with logistical transportation.