Relevant bibliographies by topics / Transportation of machines

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Transportation of machines'

Author: Grafiati
Published: 28 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Transportation of machines"

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Badaoui, Ryma Zineb, Mourad Boudhar, and Mohammed Dahane. "Preemptive scheduling with transportation delays between machines." Journal of Modelling in Management 15, no. 3 (January 13, 2020): 829–47. http://dx.doi.org/10.1108/jm2-11-2018-0187.

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Purpose This paper studies the preemptive scheduling problem of independent jobs on identical machines. The purpose of this paper is to minimize the makespan under the imposed constraints, namely, the ones that relate the transportation delays which are required to transport a preempted job from one machine to another. This study considers the case when the transportation delays are variable. Design/methodology/approach The contribution is twofold. First, this study proposes a new linear programming formulation in real and binary decision variables. Then, this study proposes and implements a solution strategy, which consists of two stages. The goal of the first stage is to obtain the best machines order using a local search strategy. For the second stage, the objective is to determine the best possible sequence of jobs. To solve the preemptive scheduling problem with transportation delays, this study proposes a heuristic and two metaheuristics (simulated annealing and variable neighborhood search), each with two modes of evaluation. Findings Computational experiments are presented and discussed on randomly generated instances. Practical implications The study has implications in various industrial environments when the preemption of jobs is allowed. Originality/value This study proposes a new linear programming formulation for the problem with variable transportation delays as well as a corresponding heuristic and metaheuristics.
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Mongush, S. "OPTIMIZATION OF THE PROCESS OF FORMING A REGIONAL EQUIPMENT FLEET OFGROUND TRANSPORT AND TECHNOLOGICAL MACHINES." Russian Automobile and Highway Industry Journal 17, no. 2 (May 25, 2020): 220–33. http://dx.doi.org/10.26518/2071-7296-2020-17-2-220-233.

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Introduction. Due to the development of building and transport construction in the Republic of Tuva, a lack of capacity of an equipment fleet of ground transportation and technological machines is predicted. The condition of cars changes eventually and not for the better. The operability and productivity of equipment decreases, and the costs of measures to maintain it in working condition are constantly increasing. Therefore, the desire for failure-free operation of machines and to increase the duration of its use is understandable. Each enterprise is interested in the efficient use of the current machinery, and operational - especially since the efficiency of its use is the goal of such an enterprise.Materials and methods. To improve the working capacity and increase the productivity of the equipment, to reduce the costs of maintenance and repair activities a methodology of optimizing the process of forming an equipment fleet of ground transportation and technological machines in the Republic of Tuva has been developed in this article. The methodology consists of three blocks - “The analysis of a regional equipment fleet of ground transportation and technological machines”, “Modeling the processes of updating the equipment fleet of ground transportation and technological machines” and “Research on processes to ensure the operability of the equipment fleet of ground vehicles transport and technological machines”.Results. The modeling result is the formulation of recommendations on updating the equipment fleet of ground transportation and technological machines and on the formation of a system for ensuring the operability of the equipment fleet of ground transportation and technological machines considering the planned update.Discussion and conclusion. Estimated ratios are obtained for assessing the losses of enterprises due to insufficient equipment level of ground transport and technological machines.Financial transparency: the authors have no financial interest in the presented materials or methods. There is no conflict of interest.
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Havlik, Radek, Alena Gottwaldova, and Jan Vavruška. "Application of 3D Scanner for Transportation a CNC Machine Tools." Applied Mechanics and Materials 693 (December 2014): 213–18. http://dx.doi.org/10.4028/www.scientific.net/amm.693.213.

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This paper deals with research in area 3D digitalization of large objects. Application of 3D scanners for transportation is not common. Digitalized area is a final placement for new machines. Final location and transport way for machines is in very a low ceiling room. Using the 3D data we can determine an optimal way for transport. In next step we define optimal final placement for CNC machine tools. If we have 3D model from 3D scanner we can measure the height between the floor and ceiling.
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Zhao, Li Zhong, Ji Hong Yan, and Yan Bin Wang. "An Operation Job Time Dispatching Algorithm for Injection Mold Manufacturing." Advanced Materials Research 305 (July 2011): 384–88. http://dx.doi.org/10.4028/www.scientific.net/amr.305.384.

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The crux of injection mold manufacturing optimize scheduling is the job time dispatching in operation level. In the injection mold manufacturing process, many factors should be considered. The holiday arrangement and the machine’s duty time policy should be calculated in the searching of job time span. Generally, the different machine resources have the different duty time policies. So the available time span of machines is noncontinuous and the daily available time length is different. To a single mold part, the different operations may be made in different plant. The transportation time will change the scheduling result a lot. A Web Service is designed for the transportation time evaluation. An operation job time dispatching algorithm for injection mold manufacturing is proposed. It can be invoked to support the decoding of the GA chromosome representation.
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Wang, Aimeng, and Shanshan Li. "Investigation of E-Core Modular Permanent Magnet Wind Turbine." Energies 13, no. 7 (April 6, 2020): 1751. http://dx.doi.org/10.3390/en13071751.

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Under the adverse trend of fossil energy attenuation and air pollution, wind power effectively alleviates the global energy crisis and environmental pollution. For wind turbines, especially large offshore wind turbines, their transportation, installation, and maintenance are very inconvenient. In order to solve this problem, this paper presents an E-core stator modular machine which inserts stator gap into the unwounded teeth of the fractional-slot concentrated winding (FSCW) permanent magnet (PM) machine. The winding factor of the new stator structure machine was derived. The electromagnetic models of 12-slot/10-pole and 12-slot/14-pole modular FSCW PM machines and traditional FSCW PM machines were established using the finite element analysis (FEA) software, and the open-circuit flux density, cogging torque, load torque, loss, and efficiency were simulated and analyzed. The results showed that the modular structure of E-core stator not only simplified the transportation, installation, and maintenance of wind turbines, but also optimized the electromagnetic performance of the 12-slot/14-pole machine, i.e., improved the output torque and operation efficiency.
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Flórez-Ruiz, Juan Fernando, Jorge Guillermo Díaz-Rodríguez, Alexander Ramírez-Dueñes, and Félix Antonio Pérez-Rondón. "Design, simulation and construction of a pellets transportation laboratory." ITECKNE 16, no. 2 (December 16, 2019): 7–17. http://dx.doi.org/10.15332/iteckne.v16i2.2352.

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The article presents how three scaled down industrial machinery models were designed and built as an educational tool to present the transport of particulate material. The literature review showed calculation models for equipment at industrial level, not for laboratory level. There were chosen the most representative means of commercial transport for particulate materials: a conveyor screw, a conveyor belt and a bucket elevator. These three machines were calculated and built in polycarbonate to allow visualization of their internal functioning. The three devices are controlled by a programmable logic controller (PLC) and connected to each other by a SCADA network. The equipment is modular so as not to alter the order of operation, being able to obtain different work sequences. In addition, a man-machine graphic interface (HMI) was developed to supervise and to control the designed equipment. The results of particulate material mass flow obtained are approximately coincident with those estimated, validating the use of calculation models for much lower levels of work. Finally, it is emphasized that the system obtained is an environment for students to implement control techniques using the sensors and motors used in the designs.
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Manakov, A. L., A. A. Igumnov, and S. A. Kolarzh. "Monitoring technical state of transportation vehicles and production machines." Journal of Mining Science 49, no. 4 (July 2013): 630–36. http://dx.doi.org/10.1134/s1062739149040151.

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Lithgow, Trevor, and Gabriel Waksman. "Seaside transportation—from structure to function of translocation machines." EMBO reports 14, no. 7 (June 14, 2013): 585–87. http://dx.doi.org/10.1038/embor.2013.79.

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Haned, Amina, Ameur Soukhal, Mourad Boudhar, and Nguyen Huynh Tuong. "Scheduling on parallel machines with preemption and transportation delays." Computers & Operations Research 39, no. 2 (February 2012): 374–81. http://dx.doi.org/10.1016/j.cor.2011.04.013.

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Kallel, Lobna, Ezzeddine Benaissa, Hichem Kamoun, and Mounir Benaissa. "Berth allocation problem: formulation and a Tunisian case study." Archives of Transport 51, no. 3 (September 30, 2019): 85–100. http://dx.doi.org/10.5604/01.3001.0013.6165.

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This paper examines one of the most important operational problems in seaport terminals, namely the Berth Allocation Problem (BAP) which finds an optimal assignment of ships to the berths that minimize the total waiting time of all ships and reduce congestion in ports. Our problem is to affect and schedule n ships on m berths to minimize the processing time and the waiting time for all the ships in the port. Therefore, ships stay time in the port known by the flow time, while respecting the physical constraints existing at the port (such as the depth of the water berth and the draft of the ship’s water), knowing that each ship can only accommodate one ship at a time. It is as if it was a case of n tasks and m machines in parallel, and we wanted to schedule the passage of different tasks on different machines, knowing that each task can only pass on one machine and that the interruption of the task is not allowed. For example, if a job started on a machine, it will remain on this machine up to its completion. In our case, tasks are ships and machines are berths that are opting to minimize the total flow time and, therefore, to decrease the residence time of all the ships in the port. In a first step, a Mixed Integer Linear Program model is designed to address the BAP with the aim of minimizing the flow time of the ships in the port, our sample can be used for both static and dynamic berth allocation cases. In a second step, this model is illustrated with a real case study in the Tunisian port of Rades and solved by a commercial solver CPLEX. Calculation results are presented and compared with those obtained by port authorities in Radès.
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Dissertations / Theses on the topic "Transportation of machines"

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Ureta, Icaza Sebastian. "Machines for living in : communication technologies and everyday life in times of urban transformation." Thesis, London School of Economics and Political Science (University of London), 2006. http://etheses.lse.ac.uk/114/.

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This thesis investigates the degree to which our everyday conceptions of 'place' have changed in contemporary society, especially in relation to the use of information and communications technologies (ICTs). The empirical evidence is a case study of 20 low-income families who live in Santiago, Chile. These families had just moved to a new social housing estate from the shantytowns and/or situations of extreme overcrowding. The first section of the thesis examines how their conceptions of 'place' have changed as a result of the move. On the one hand, it is difficult for them to perceive the housing estate as a 'place' with the same characteristics as their former home environments (close social networks, common history, etc.) due to a difficult and still incomplete adaptation. On the other hand, their social exclusion, especially demonstrated in terms of their limited spatial mobility, means that their everyday life still unfolds in a limited and relatively static number of places. In these circumstances they develop a minimal concept of place based not on an emotional attachment to a space, but rather on particular practices located in certain time and space. This concept of place is labelled here as 'localities of practices'. The second part of the thesis examines how these 'localities of practices' are becoming increasingly 'mediated,' or the increasing degree to which the use of ICTs permeates the conceptions of place of the members of these families through an analysis of practices related to the use of three particular technologies. The first study shows how the home is a project that has to be constructed in a constant competitive interplay with the place created by television use. The second analyses how the noise produced by hi-fi technologies at very high volumes is used to redefine the spaces of the housing estate against the background of their quite limited material surroundings. The third shows how the use of mobile phones, and the 'media space' created by them, reconstitutes and gives a new meaning to the limitations that these families face when moving through the urban environment of Santiago. As a result of these continual processes of mediation the thesis concludes that along with the physical environment of the housing estate, the spatial environments created by the use of media technologies are key to the construction of 'place' to such a degree that is almost impossible to consider one without the other. They, together, are their "machines for living in"; the setting in which their everyday lives unfold.
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Barbieri, Matteo. "Seamless infrastructure for "Big-Data" collection and transportation and distributed elaboration oriented to predictive maintenance of automatic machines." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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In questo progetto di tesi, realizzato all'interno del laboratorio industriale LIAM Lab, si propone lo sviluppo e la sperimentazione di un'infrastruttura hardware e software per l'acquisizione e l'elaborazione di segnali da sensori di macchine automatiche da utilizzare per effettuare operazioni di diagnostica predittiva su di essa. La tematica sta avendo sempre più seguito all'interno del settore, in quanto la sua realizzazione si basa profondamente sui concetti di industria 4.0, internet delle cose e big data. Nel caso particolare l'infrastruttura riceverà dati da accelerometri con frequenze variabli dai 5KHz a 50KHz e su di questi applicherà un algoritmo di identificazione e semplici test statistici. Successivamente, i parametri dentificati e i risultati dei test verranno poi inviati via OPC ad un computer che provvederà alla loro rielaborazione. Con rielaborazione si intende l'utilizzo di ulteriori test statistici più complessi e anche algoritmi di machine learning. L'infrastruttura ha quindi il compito di "prepare la strada" per l'acquisizione e rielaborazione dei segnali ricevuti dai sensori per poter realizzare in seguito algoritmi in grado di apprendere le condizioni operative della macchina cosicchè sia possibile prevederne produzione e manutenzione.
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Vanajakshi, Lelitha Devi. "Estimation and prediction of travel time from loop detector data for intelligent transportation systems applications." Texas A&M University, 2004. http://hdl.handle.net/1969.1/2667.

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With the advent of Advanced Traveler Information Systems (ATIS), short-term travel time prediction is becoming increasingly important. Travel time can be obtained directly from instrumented test vehicles, license plate matching, probe vehicles etc., or from indirect methods such as loop detectors. Because of their wide spread deployment, travel time estimation from loop detector data is one of the most widely used methods. However, the major criticism about loop detector data is the high probability of error due to the prevalence of equipment malfunctions. This dissertation presents methodologies for estimating and predicting travel time from the loop detector data after correcting for errors. The methodology is a multi-stage process, and includes the correction of data, estimation of travel time and prediction of travel time, and each stage involves the judicious use of suitable techniques. The various techniques selected for each of these stages are detailed below. The test sites are from the freeways in San Antonio, Texas, which are equipped with dual inductance loop detectors and AVI. ?? Constrained non-linear optimization approach by Generalized Reduced Gradient (GRG) method for data reduction and quality control, which included a check for the accuracy of data from a series of detectors for conservation of vehicles, in addition to the commonly adopted checks. ?? A theoretical model based on traffic flow theory for travel time estimation for both off-peak and peak traffic conditions using flow, occupancy and speed values obtained from detectors. ?? Application of a recently developed technique called Support Vector Machines (SVM) for travel time prediction. An Artificial Neural Network (ANN) method is also developed for comparison. Thus, a complete system for the estimation and prediction of travel time from loop detector data is detailed in this dissertation. Simulated data from CORSIM simulation software is used for the validation of the results.
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Pomikálek, Adam. "Mobilní soustružnické obráběcí centrum se svislou osou obrobku." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443775.

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The subject of this diploma thesis is the conceptual design of a mobile lathe centre with a vertical workpiece axis. First, a search in the field of mobile lathes, stationary lathes and methods of their transport is performed. Then, from the described transport machine options, the most suitable transport variant is selected, thanks to which variants of the mobile machine solution are created. Subsequently, the design of the winning variant is fully adapted to the method of transport using containers. Emphasis is placed on simple construction, maximum use of the transport packaging in the machine frame and easy assembly of the machine customer. For these reasons, the machine frame must consist of two containers. Finally, the assembly and adjustment of the machine tool are solved in combination with the verification of the functionality of the proposed concept.
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Sobue, Gustavo. "Modelagem paramétrica de pórticos rolantes: estabilidade estrutural e otimização." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/3/3135/tde-30082005-141837/.

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O objetivo deste trabalho é desenvolver uma ferramenta de automatização de cálculo para projeto estrutural de pórticos rolantes. Com o apoio da geração automática de um modelo de elementos finitos e um memorial de cálculo, o projeto estrutural desses equipamentos pode ser rapidamente verificado quanto ao limite de escoamento do material e resistência à flambagem. Optou-se pela utilização do método dos elementos finitos para o cálculo estrutural, pois se trata de uma ferramenta de cálculo moderna, que permite avaliar soluções para as quais não há ferramentas analíticas disponíveis. Porém, o tempo para geração de modelos de cálculo pode ser longo em relação ao cronograma do projeto, principalmente se houver a necessidade de se alterar a geometria inicial ou se existirem várias condições de carregamento a serem analisadas. A utilização de um pré-processador permite que várias alternativas sejam analisadas para escolha da que melhor atenda aos requisitos de projeto e de custo. Assim como ocorre com outras estruturas de engenharia, não existe uma equação de dimensionamento, mas sim de verificação; as estruturas ótimas são procuradas por tentativa e erro com base na experiência do projetista. Para facilitar a busca de uma estrutura ótima, implementou-se também uma rotina para otimizar as estruturas metálicas do pórtico. Adotou-se como função objetivo nesta implementação a minimização da massa, o que no caso dos pórticos implica em redução da área da seção transversal das vigas. Como restrições a esta redução adotaram-se o limite de escoamento do material e limite de estabilidade da estrutura (flambagem). Foram utilizados os aplicativos Excel (Microsoft), Ansys (Ansys Inc.) e Mathcad (Mathsoft) de maneira integrada a fim de se obter uma interface amigável, uma análise estrutural confiável e a elaboração automática de um memorial de cálculo.
The objective of this work is to develop a tool to generate an automatic structural design of gantry cranes. With an automatic generation of finite element models and also a design report, this routine allows a fast verification against yield of material and structural instability. The use of the finite element method was chosen for the structural design because it is a modern analysis tool that permits the evaluation of geometric configurations for which there are no analytical formulations available. However, the time necessary to build these models may be high, especially if there are changes in the initial geometry and many load cases. The use of a pre-processor allows the evaluation of a series of geometric alternatives, within which would be chosen the one with the lowest cost that attends the client’s specifications. Like many other engineering problems, there are no direct equations to find an adequate structure; there are only verification procedures available; the optimum structures are searched by trial and error, based on the designers’ experience. To accelerate this search process, an optimization routine was developed. Mass reduction was adopted as the objective function, which leads to reduction of the cross section area of the beams. Yield strength and buckling were adopted as restrictions to this optimization. Excel (Microsoft), Ansys (Ansys Inc) and Mathcad (Mathsoft) software were integrated to provide an user-friendly interface, reliable structural analysis and an automatic report generation.
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Siriwardana, Pallege Gamini Dilupa. "Machine learning-based multi-robot cooperative transportation of objects." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/14700.

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Multi robot cooperative transportation is an important research area in the multi robot domain. In the process of object transportation, several autonomous robots navigate cooperatively in either a static or a dynamic environment to transport an object to a goal location and orientation. The environment may consist of both fixed and removable obstacles and it will be subject to uncertainty and unforeseen changes within the environment. Furthermore, more than one robot may be required in a cooperative mode for handling heavy and large objects. These are some of the challenges addressed in the present thesis. This thesis develops a machine learning approach and investigates relevant research issues for object transportation utilizing cooperative and autonomous multiple mobile robots. It makes significant original contributions in distributed multi robot coordination and self deterministic learning for robot decision making, and comes up with an optimal solution to the action selection conflicts of the robots in the cooperative system. This will help to improve the real time performance and robustness of the system. Also, the thesis develops a new method for object and obstacle identification in complex environments using a laser range finder, which is more realistic than the available methods. A new algorithm for object pose estimation algorithm is developed, enabling a robot to identify the objects and obstacles in a multi-robot environment by utilizing the laser range finder and color blob tracking. The thesis develops a fully distributed hierarchical multi-robot architecture for enhanced coordination among robots in a dynamic and unknown environment. It strives to improve the real time performance and robustness. The system consists with three layers. By combining two popular artificial intelligence (Al) techniques such as learning and behavior based decision making, the developed architecture is expected to facilitate effective autonomous operation of cooperative multi-robot systems in a dynamically changing, unstructured, and unknown environment.
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Fang, Yajun Ph D. Massachusetts Institute of Technology. "Fusion-layer-based machine vision for intelligent transportation systems/." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/60143.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 307-317).
Environment understanding technology is very vital for intelligent vehicles that are expected to automatically respond to fast changing environment and dangerous situations. To obtain perception abilities, we should automatically detect static and dynamic obstacles, and obtain their related information, such as, locations, speed, collision/occlusion possibility, and other dynamic current/historic information. Conventional methods independently detect individual information, which is normally noisy and not very reliable. Instead we propose fusion-based and layered-based information-retrieval methodology to systematically detect obstacles and obtain their location/timing information for visible and infrared sequences. The proposed obstacle detection methodologies take advantage of connection between different information and increase the computational accuracy of obstacle information estimation, thus improving environment understanding abilities, and driving safety.
by Yajun Fang.
Ph.D.
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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.

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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 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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Carpineti, Claudia. "Sensors relevance analysis for transportation mode recognition." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13298/.

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Identificare la mobilità di un utente attraverso la sua osservazione, o l’osservazione dell’ambiente, è un tema di ricerca di crescente interesse, con numerose applicazioni. La maggior parte dei lavori accademici trae vantaggio dalla diffusione dei cellulari, utilizzando i dati derivati dai sensori e le tecniche di apprendimento automatico, per inferire la mobilità dell’utente. Una limitazione di questi lavori è l’utilizzo di dataset creati ad hoc. Essi, infatti, raccolgono i dati dei soli sensori di loro interesse, hanno una base utente ridotta e prevedono processi di collezione in condizioni non reali. Come conseguenza, i risultati dei lavori non sono fra loro confrontabili. Il primo obiettivo di questa tesi è stato la costruzione di un dataset che superasse le suddette limitazioni. Il dataset ottenuto distingue cinque attività: stare in macchina, in autobus, in treno, fermi e camminare. Il dataset è stato utilizzato per la costruzione di modelli di classificazione della mobilità, raggiungendo un livello massimo di accuratezza del 96%. Si è indagato sull’importanza dei sensori nel riconoscimento delle singole attività. A tal fine, sono stati definiti tre insiemi di dati: il primo composto dai dati derivati da tre soli sensori (accelerometro, giroscopio e microfono), il secondo da tutti i dati dei sensori ad esclusione di quelli derivati dal GPS e l’ultimo dai dati di tutti i sensori disponibili. I risultati ottenuti mostrano come all’aumentare dei sensori, aumenti l’accuratezza. Non tutte le classi di attività, però, traggono lo stesso beneficio dall’aumento di informazione. L’analisi di queste differenze permette di individuare quali sensori sono più utili all’individuazione di ogni singola attività. Questi ultimi risultati suggeriscono la possibilità di scegliere il set di sensori da utilizzare sulla base delle attività da riconoscere.
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Trivedi, Ankit P. "Decision tree-based machine learning algorithm for in-node vehicle classification." Thesis, California State University, Long Beach, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10196455.

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This paper proposes an in-node microprocessor-based vehicle classification approach to analyze and determine the types of vehicles passing over a 3-axis magnetometer sensor. The approach for vehicle classification utilizes J48 classification algorithm implemented in Weka (a machine learning software suite). J48 is Quinlan's C4.5 algorithm, an extension of decision tree machine learning based on an ID3 algorithm. The decision tree model is generated from a set of features extracted from vehicles passing over the 3-axis sensor. The features are attributes provided with correct classifications to the J48 training algorithm to generate a decision tree model with varying degrees of classification rates based on cross-validation. Ideally, using fewer attributes to generate the model allows for the highest computational efficiency due to fewer features needed to be calculated while minimalizing the tree with fewer branches. The generated tree model can then be easily implemented using nested if-loops in any language on a multitude of microprocessors. Also, setting an adaptive baseline to negate the effects of the background magnetic field allows reuse of the same tree model in multiple environments. The result of the experiment shows that the vehicle classification system is effective and efficient.

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Books on the topic "Transportation of machines"

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Pipe, Jim. Giant machines. London: Franklin Watts, 2008.

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Paul, Harrison. Speed machines. New York: Powerkids Press, 2008.

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Big military machines. Berkeley Heights: Enslow Publishers, 2012.

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Hibbert, Adam. Mighty machines. Bath: Parragon, 2001.

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Snow, Alan. Machines, cars, boats, and airplanes. New York: Scholastic, 1989.

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Ian, Graham. My best book of speed machines. London: Kingfisher, 2007.

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Gunston, Bill. Battle machines. Tunbridge Wells [England]: Ticktock, 2009.

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Maude, Salinger, ed. Teddies & machines. [New York: Dutton Children's Books, 1996.

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Owens, Tom. Traveling on the freedom machines of the transportation age. Logan, Iowa: Perfection Learning, 2003.

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Wallace, Karen. Big machines. New York: DK Pub., 2000.

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Book chapters on the topic "Transportation of machines"

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Ranjbar, A. H., and Babak Fahimi. "AC Machines: Permanent Magnet Synchronous and Induction Machines." In Transportation Technologies for Sustainability, 25–54. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5844-9_870.

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Fox, Malcolm A. "Refrigerating Machines." In Glossary for the Worldwide Transportation of Dangerous Goods and Hazardous Materials, 218. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-11890-0_67.

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Blekhman, I. I., L. I. Blekhman, L. A. Vaisberg, and V. B. Vasilkov. "Energy Performance of Vibrational Transportation and Process Machines." In Lecture Notes in Mechanical Engineering, 29–46. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8049-9_2.

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Rodríguez, José, Marcelo A. Pérez, Héctor Young, and Haitham Abu-Rub. "Model Predictive Speed Control of Electrical Machines." In Power Electronics for Renewable Energy Systems, Transportation and Industrial Applications, 608–29. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118755525.ch19.

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Myrzabekova, Dinara, Mikhail Dudkin, Marek Młyńczak, Alfiya Muzdybayeva, and Murat Muzdybayev. "Concept of Preventive Maintenance in the Operation of Mining Transportation Machines." In Advances in Intelligent Systems and Computing, 349–57. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19501-4_35.

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Strautmanis, Guntis, Alexander Gorbenko, Mareks Mezitis, Valentina Strautmane, and Pavels Stankevics. "On the Issue of Motion of Compensating Masses of an Automatic Balancing Device in Rotary Machines with a Horizontal Axis of Rotation." In ICTE in Transportation and Logistics 2019, 218–26. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39688-6_29.

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Yang, Banghua, Davy Janssens, Da Ruan, Tom Bellemans, and Geert Wets. "A Data Imputation Method with Support Vector Machines for Activity-Based Transportation Models." In Atlantis Computational Intelligence Systems, 159–71. Paris: Atlantis Press, 2012. http://dx.doi.org/10.2991/978-94-91216-80-0_9.

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Yang, Banghua, Davy Janssens, Da Ruan, Mario Cools, Tom Bellemans, and Geert Wets. "A Data Imputation Method with Support Vector Machines for Activity-Based Transportation Models." In Advances in Intelligent and Soft Computing, 249–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25664-6_29.

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Khudonogov, Anatoliy, Evgeny Dulskiy, and Pavel Ivanov. "Basis for Local Methods of Insulation Hardening of Traction Rolling Stock Electrical Machines." In International Scientific Conference Energy Management of Municipal Transportation Facilities and Transport EMMFT 2017, 109–19. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70987-1_12.

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Bikmetov, Ravil, M. Yasin Akhtar Raja, and Khurram Kazi. "Machine-to-Machine Communications in the Smart City-a Smart Grid Perspective." In Transportation and Power Grid in Smart Cities, 103–45. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119360124.ch4.

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Conference papers on the topic "Transportation of machines"

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"Electrical Machines for Transportation." In 2019 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD). IEEE, 2019. http://dx.doi.org/10.1109/wemdcd.2019.8887798.

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"Electric machines and control." In Power Electronics in Transportation. IEEE, 2004. http://dx.doi.org/10.1109/pet.2004.1393801.

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Bobba, Dheeraj, and Bulent Sarlioglu. "High Fidelity Rapid Modeling of Hybrid Rotor PM Machines using Equivalent Machine Model." In 2021 IEEE Transportation Electrification Conference & Expo (ITEC). IEEE, 2021. http://dx.doi.org/10.1109/itec51675.2021.9490181.

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Hensley, Forest, Aik Wah Wong, Wei Chung Yu, and Jin Ye. "Comparative analysis of conventional switched reluctance machines and mutually coupled switched reluctance machines." In 2017 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE, 2017. http://dx.doi.org/10.1109/itec.2017.7993268.

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Wei Tong. "Mechanical design of electric machines." In 2016 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE, 2016. http://dx.doi.org/10.1109/itec.2016.7520175.

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Bojoi, R., A. Cavagnino, A. Tenconi, A. Tessarolo, and S. Vaschetto. "Multiphase electrical machines and drives in the transportation electrification." In 2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI). IEEE, 2015. http://dx.doi.org/10.1109/rtsi.2015.7325099.

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Paar, Christian, and Annette Muetze. "Discussion of machine placement and integration on the thermal design of HEV IPM machines." In 2016 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE, 2016. http://dx.doi.org/10.1109/itec.2016.7520248.

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Xu, Wei, Yaohua Li, Guangsheng Sun, Jinqi Ren, Longcheng Tan, Ke Wang, and Junfei Han. "Performance Study on High Power Linear Induction Motor in Transportation." In 2007 International Conference on Electrical Machines and Systems. IEEE, 2007. http://dx.doi.org/10.1109/icems12746.2007.4411958.

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Rousseau, Aymeric, and Larry Michaels. "MBSE the rise of the machines?" In 2013 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE, 2013. http://dx.doi.org/10.1109/itec.2013.6573468.

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Schofield, Nigel, Xin Niu, and Omid Beik. "Multiphase machines for electric vehicle traction." In 2014 IEEE Transportation Electrification Conference and Expo (ITEC). IEEE, 2014. http://dx.doi.org/10.1109/itec.2014.6861840.

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Reports on the topic "Transportation of machines"

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Mashhadi, Ali Hassandokht, and Abbas Rashidi. Evaluating Mobility Impacts of Construction Work Zones on Utah Transportation System Using Machine Learning Techniques. Transportation Research and Education Center (TREC), 2021. http://dx.doi.org/10.15760/trec.263.

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Razdan, Rahul. Unsettled Topics Concerning Human and Autonomous Vehicle Interaction. SAE International, December 2020. http://dx.doi.org/10.4271/epr2020025.

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This report examines the current interaction points between humans and autonomous systems, with a particular focus on advanced driver assistance systems (ADAS), the requirements for human-machine interfaces as imposed by human perception, and finally, the progress being made to close the gap. Autonomous technology has the potential to benefit personal transportation, last-mile delivery, logistics, and many other mobility applications enormously. In many of these applications, the mobility infrastructure is a shared resource in which all the players must cooperate. In fact, the driving task has been described as a “tango” where we—as humans—cooperate naturally to enable a robust transportation system. Can autonomous systems participate in this tango? Does that even make sense? And if so, how do we make it happen?
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Smith, Jijo K., Howell Li, and Darcy M. Bullock. Populating SAE J2735 Message Confidence Values for Traffic Signal Transitions Along a Signalized Corridor. Purdue University, 2019. http://dx.doi.org/10.5703/1288284317322.

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The communication between connected vehicles and traffic signal controllers is defined in SAE Surface Vehicle Standard J2735. SAE J2735 defines traffic signal status messages and a series of 16 confidence levels for traffic signal transitions. This paper discusses a statistical method for tabulating traffic signal data by phase and time of day and populating the SAE J2735 messages. Graphical representation of the red-green and green-yellow transitions are presented from six intersections along a 4-mile corridor for five different time of day timing plans. The case study provided illustrates the importance of characterizing the stochastic variation of traffic signals to understand locations, phases, and time of day when traffic indications operate with high predictability, and periods when there are large variations in traffic signal change times. Specific cases, such as low vehicle demand and occasional actuation of pedestrian phases are highlighted as situations that may reduce the predictability of traffic signal change intervals. The results from this study also opens up discussion among transportation professionals on the importance of consistent tabulation of confidence values for both beginning and end of green signal states. We believe this paper will initiate dialog on how to consistently tabulate important data elements transmitted in SAE J2735 and perhaps refine those definitions. The paper concludes by highlighting the importance of traffic engineers and connected vehicle developers to work together to develop shared visions on traffic signal change characteristics so that the in-vehicle use cases and human-machine interface (HMI) meet user expectations.
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Transportation coordinator dies after being crushed by a large wind machine in California. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, September 1995. http://dx.doi.org/10.26616/nioshsface95ca004.

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