Tesis sobre el tema "Autonomous Mobility on Demand"
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Miller, Justin (Justin Lee). "Demand estimation and fleet management for autonomous mobility on demand systems". Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113541.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 131-137).
Mobility On Demand (MOD) systems are creating a paradigm shift in transportation, where mobility is provided not through personally owned vehicles but rather through a fleet of shared vehicles. To maintain a high customer quality of service (QoS), MOD systems need to manage the distribution of vehicles under spatial and temporal fluctuations in customer demand. A challenge for MOD systems is developing and informing a customer demand model. A new proactive demand model is presented which correlates real-time traffic data to predict customer demand on short timescales. Traditional traffic data collection approaches use pervasive fixed sensors which are costly for system-wide coverage. To address this, new frameworks are presented for measuring real-time traffic data using MOD vehicles as mobile sensors. The frameworks are evaluated using hardware and simulation implementations of a real-world MOD system developed for MIT campus. First, a mobile sensing framework is introduced that uses camera and Lidar sensors onboard MOD shuttles to observe system-wide traffic. Through a principled approach for decoupling dependencies between observation data and vehicle motion, the framework provides traffic rate estimates comparable to those of costly fixed sensors. Second, an active sensing framework is introduced which quantifies demand uncertainty with a Bayesian model and routes mobile sensors to reduce parameter uncertainty. The active sensing framework reduces error in demand estimates over both short and long timescales when compared to baseline approaches. Given estimates of customer demand, the challenge for MOD systems is maintaining high customer QoS through fleet management. New automated fleet management planners are introduced for improving customer QoS in ride hailing, ride requesting, and ridesharing MOD operating frameworks. The planners are evaluated using data-driven simulation of the MIT MOD system. For ride hailing, to address the challenge of missed customers, a chance-constrained planner is introduced for positioning vehicles at likely customer hailing locations. The chance-constrained planner provides a significant improvement in the number of served hailing customers over a baseline exploration approach. For ride requesting, to address the challenge of high customer wait times, a predictive positioning planner is introduced to position vehicles at key locations in the MOD system based on customer demand. The predictive positioning planner provides a reduction in service times for requesting customers compared to a baseline waiting approach. For ridesharing, incorrect assumptions on customer preference for transit delays can lead to poor realized customer QoS. A ridesharing planner is introduced for assigning customers to vehicles based on a trained ratings-based QoS model. The ridesharing planner provides robust performance over a range of unknown customer preferences compared to approaches with assumed customer preferences.
by Justin Lee Miller.
Ph. D.
Chen, Yu Xin (Yu Xin Leo). "Simulation-based design of integrated public transit and shared autonomous mobility-on-demand systems". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120641.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 89-95).
The autonomous vehicle (AV) is poised to be one of the most disruptive technologies in the transportation industry. The advent of three major trends in transportation: automation, on-demand mobility and ride-sharing, are set to revolutionize the way we travel. The forthcoming adoption and commercialization of AVs are expected to have extensive impacts on our road networks, congestion, safety, land use, public transportation (PT) and more. Rapid advances in AV technology are convincing many that AV services will play a significant role in future transportation systems. The advancement of AVs presents both opportunities and threats to transportation. It has the potential to significantly impact traffic congestion, traffic accidents, parking and VMT (vehicle miles traveled), especially for people that are not able to drive such as children and elderly people. Motivated by the potential of autonomous vehicles, authorities around the world are preparing for this revolution in transport and deems this an important research direction that requires significant investigation. This thesis tackled and contributed to three main research questions related to the impact of autonomous vehicles on transportation systems. First, this thesis proposes a simulation-based approach to the design and evaluation of integrated autonomous vehicle and public transportation systems. We highlight the transit-orientation by respecting the social-purpose considerations of transit agencies (such as maintaining service availability and ensuring equity) and identifying the synergistic opportunities between AV and PT. Specifically, we identified that AV has a strong potential to serve first-mile connections to the PT stations and provide efficient and affordable shared mobility in low-density suburban areas that are typically inefficient to serve by conventional fixed-route PT services. The design decisions reflect the interest of multiple stakeholders in the system. Second, the interaction between travelers (demand) and operators (supply) is modeled using a system of equations that is solved as a fixed-point problem through an iterative procedure. In this, we developed demand and supply as two sub-problems. The demand will be predicted using a nested logit model to estimate the volume for different modes based on modal attributes. The supply will use a simulation platform capable of incorporating critical operational decisions on factors including fleet sizes, vehicle capacities, sharing policies, fare schemes and hailing strategies such as in-advance and on-demand requests. Using feedback between demand and supply, we enable interactions between the decisions of the service operator and those of the travelers, in order to model the choices of both parties. Finally, this thesis systematically optimizes service design variables to determine the best outcome in accordance to AV+PT stakeholder goals. Optimization objective functions can be formulated to reflect the different objectives of different stakeholders. In this paper, we specifically propose and develop a simulation-based service design method where we quantify various benefits and costs to reflect the objectives of key AV+PT stakeholders. We simulate the service with different sets of system settings and identify the highest performing set. We employ a case study of regional service contracting to showcase the ability of this method to inform AV+PT service design. We tested our approach with a case study area in a major European city on an agent-based simulation platform, amod-abm. Agent-based simulation has the advantage of capturing individual (agent) behaviors and the interactions of the various individual agents in a realistic synthetic environment where the intent is to re-create a complex phenomenon of mobility on demand service delivered by AV. Although this thesis will focus on a major European city, the general framework and methodologies proposed here can be widely applicable. The thesis concludes that the demand-supply interaction can be effective for designing and assessing the role of AV technology in our mobility systems. Moreover, simulation-based optimization can be an effective method for transit agencies to make decisions that support their overall AV related transport strategy as well as operational planning.
by Yu Xin Chen.
S.M. in Transportation
Wen, Jian S. M. Massachusetts Institute of Technology. "Value of information in dispatching shared autonomous mobility-on-demand systems : a simulation framework". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115797.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 87-91).
The concept of shared mobility-on-demand (MoD) systems describes an innovative mode of transportation in which rides are tailored as per the immediate requests in a shared manner. Convenience of hailing, ease of transactions, and economic efficiency of crowd-sourcing the rides have made these services very attractive today. It is anticipated that autonomous vehicle (AV) technology may further improve the economics of such services by reducing the operational costs. The design and operation of such an shared autonomous mobility-on-demand (AMoD) system is therefore an important research direction that requires significant investigation. This thesis mainly addresses three issues revolving around the dispatching strategies of shared AMoD systems. First, it responds to the special dispatching need that is critical for effective AMoD operation. This includes a dynamic request-vehicle assignment heuristic and an optimal rebalancing policy. In addition, the dispatching strategies also reflect transit-oriented designs in two ways: (a) the objective function embodies the considerations of service availability and equity through the support of various hailing policies; and (b), the service facilitates first-mile connections to public transportation. Second, this thesis models the interaction between demand and supply through simulation. Using the level of service as interface, this mechanism enables feedback between operators and travelers to more closely represent the choices of both parties. A fixed-point approach is then applied to reach balance iteratively, estimating both the demand volume and the system performance at equilibrium. The results from the simulation support decision-making with regard to comprehensive system design problems such as fleet sizing, vehicle capacities and hailing policies. Third, the thesis evaluates the value of demand information through simulation experiments. To quantify the system performance gain that can be derived from the demand information, this thesis proposes to study two dimensions, level of information and value of information, and builds up the relationship between them. The numerical results help rationalize the efforts operators should spend on data collection, information inference and advanced dispatching algorithms. This thesis also implements an agent-based modeling platform, amod-abm, for simulating large-scale shared AMoD applications. Specifically, it models individual travelers and vehicles with demand-supply interaction and analyzes system performance through various metrics of indicators. This includes wait time, travel time, detour factor and service rate at the traveler's side, as well as vehicle distance traveled, load and profit at the operator's side. A case study area in London is selected to support the presentation of methodology. Results show that encouraging ride-sharing and allowing in-advance requests are powerful tools to enhance service efficiency and equity. Demand information from in-advance requests also enables the operator to plan service ahead of time, which leads to better performance and higher profit. The thesis concludes that the demand-supply interaction can be effective for defining and assessing the roles of AV technology in our future transportation systems. Combining efficient dispatching strategies and demand information management tools is also important for more affordable and efficient services.
by Jian Wen.
S.M. in Transportation
Berrada, Jaâfar. "Analyse et optimisation technico-économiques des nouveaux services de mobilité basés sur l'usage des véhicules autonomes". Thesis, Paris Est, 2019. http://www.theses.fr/2019PESC1002.
Texto completoAutonomous Vehicles (AV) are becoming more of a reality, promising beneficial yet potentially disrupting changes to our urban transportation systems. This technology presents the potential to reduce energy consumption and crash occurrences, cut travel costs and minimize urban space occupancy for parking purposes. Yet barriers to implementation and mass-market penetration remain. Economically, the upfront costs in the initial stage will likely lack affordability. Socially, users could be reluctant to change their daily travel routines. Technically, the interactions with the other components of the transportation system remain uncertain. There are other challenges regarding liability, security, ethics and data privacy, too.This thesis contributes to the ex-ante study of AV-based mobility systems through the identification, design and assessment of upcoming Business Models (BM) articulated around AVs. In particular, it brings about a systemic analysis of “new” mobility services (especially car-sharing, carpooling and ride-sourcing services) in order to identify autonomous taxis (aTaxis) and autonomous shuttles (aTransit) as two of the most relevant forms of services that may enjoy wide spreading. Then, we focus on a service of aTaxis and we put forward a microeconomic model framework to evaluate strategic setups of aTaxis provider. The model framework comprises three levels (operational, tactical and strategic), and integrates three pressure forces (regulation, unit costs and demand preferences). An application is then conducted on a stylized area (Orbicity) and a real urban case (Palaiseau, a city in Paris area).Simulation results show that automation has the potential to improve both the mobility performances and the economic efficiency of the urban transportation system. Additionally, the density economies of supply and demand are evaluated by controlling both the fleet size and the number of users for a fixed study area. In particular, the framework application on Palaiseau proved that increasing by ten the fleet size of aTaxis involves 1% more users (+15 passengers) yet 50% less of profit. A stated-preference survey supports the model framework and suggests that aTaxis will likely be used for short-distance (2 to 5 km) commuting trips by two user profiles: (1) non-motorized young users (less than 30 years old) and (2) motorized active population between 30 and 50 years old.The thesis takes an interdisciplinary approach combining (1) a qualitative analysis that starts from a review of existing works and adds first a marketing analysis of Business Models based on AVs and second a systemic analysis of an aTaxis service, and (2) a quantitative analysis, situated midway between microeconomics and spatial simulation
Zhou, Fan. "The impacts of car-sharing and shared autonomous vehicles on urban mobility: Towards a sustainable future". Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/121497/1/Fan_Zhou_Thesis.pdf.
Texto completoARCORACI, ANDREA. "Sistemi Interattivi a supporto dei Veicoli Autonomi. User Experience all'interno del concept di mobilità Pop.Up Next". Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2915201.
Texto completoROMERO, LÓPEZ ALBERTO. "Optimal operating strategies for first/last mile feeder services due to the arrival of automated vehicles : Case study: suburban areas around tunnelbana, pendeltåg and lokalbana corridors in Stockholm". Thesis, KTH, Transportplanering, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-276769.
Texto completoRimjha, Mihir. "On Demand Mobility Cargo Demand Estimation". Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85590.
Texto completoMaster of Science
The recent advancements in shipping industry has made transfer of goods both domestic and international, swifter and more reliable. Nowadays, some business and consumers in urban areas have the options of few-hours or same day delivery. Currently the same-day delivery in urban areas is carried mainly by ground modes (trucks) and hence the catchment area of this delivery service is limited. Adding to it, the traffic congestion on the urban roads is a major hinderance in growth of such services. The On-Demand Mobility for cargo can reform express shipping in revolutionary ways. The concept vehicle can fly over the ground traffic. Therefore, it will increase the catchment area thereby encompassing more business and consumers, along with faster delivery options in currently serviced areas. For the study, we analyzed different databases for annual cargo flows in the region. Seventeen counties in the Northern California were chosen as the study area (or region). The study was focused on estimating the potential market (demand) for the On-Demand Mobility Cargo operations. Multiple set of results were calculated for different market shares that On-Demand Mobility can potentially capture in cargo operations. Flight trajectories (with flight plan) for daily ODM cargo flights were the final product. The On-Demand Mobility cargo operations are expected to complement passenger ODM operations. Therefore, the effect of ODM cargo operations on the passenger ODM operations was also analyzed in this study. The major challenge faced in this study was the unavailability of datasets with the desired level of details and refinements.
Deng, Xiao Yan. "Cost-driven autonomous mobility". Thesis, Heriot-Watt University, 2007. http://hdl.handle.net/10399/2071.
Texto completoSyed, Nida Umme-Saleem. "On Demand Mobility Commuter Aircraft Demand Estimation". Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78879.
Texto completoMaster of Science
Chechina, Natalia. "Autonomous mobility in multilevel networks". Thesis, Heriot-Watt University, 2011. http://hdl.handle.net/10399/2465.
Texto completoLin, Michael Chia-Liang. "Affordable autonomous lightweight personal mobility". Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/131000.
Texto completoCataloged from the official PDF of thesis.
Includes bibliographical references (pages 302-308).
Self-driving cars and micro-mobility services are among the most important trends in the mobility landscape. While robo-taxi services are still in the pilot phase, residents in many cities today are adopting micro-mobility services as a more affordable and energy-efficient last-mile alternative to traditional forms of transportation. This dissertation proposes a new genre of urban mobility by bringing together the advantages of micro-mobility with those of the self-driving car. This dissertation presents a novel vehicle design that leverages the safety and autonomous navigation capabilities of a self-driving car while remaining ecologically responsible, lightweight, and affordable. In addition, the novel design enables new types of urban mobility services with the ability to operate autonomously in bike lanes and low-speed urban environments, and to provide door-to-door mobility delivery of both people and goods.
The proposed autonomous vehicle design takes a bottom-up approach, piecing together modularized hardware components and software blocks and giving rise to autonomous functionality. During the development of these systems, multiple full-scale working prototypes were completed, each designed to explore a specific research goal. The testing and evaluation of these prototypes were conducted within urban living labs, using the bike lanes of Cambridge, Taipei, and Andorra. Each prototype concluded with a public exhibition demonstrating the validity of these systems when applied to hypothetical mobility scenarios of the future. This dissertation includes the following five contributions: 1. A new genre of mobility that enables novel mobility services of the future. 2. A software framework for autonomous navigation that utilizes low-cost sensors and computers. 3.
A set of human-machine interactions using state-of-the-art autonomous vehicle perception as input for establishing effective Vehicle-to-Pedestrian communications. 4. A new methodology for road tests and evaluation of these systems i n the living environment. 5. The introduction of a possible decentralized community-based mobility industry. This dissertation will describe the research story of successful cooperation across academic institutions, cities, industries, and borders.
by Michael Chia-Liang Lin.
Ph. D.
Ph.D. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences
Azmat, Muhammad. "Impact of autonomous vehicles on urban mobility". Institut für Transportwirtschaft und Logistik, WU Wien, 2015. http://epub.wu.ac.at/4633/1/WU_MSc_SCM_Master_Thesis.pdf.
Texto completoSeries: Schriftenreihe des Instituts für Transportwirtschaft und Logistik - Verkehr
Pence, William Garrett. "Autonomous Mobility and Manipulation of a 9-DoF WMRA". Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3288.
Texto completoRäisänen, Viljami. "Volvo Buro : Autonomous mobility enhancing the freedom at work". Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160942.
Texto completoHasfura, Andrés Michael Levering. "Pedestrian detection and tracking for mobility on demand". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106011.
Texto completoThis 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 69-72).
This paper presents a pedestrian detection and tracking system to be used aboard mobility on demand systems. Mobility on demand is a transportation paradigm in which a fleet of vehicles is shared among a community, with rides provided upon request. The proposed system is capable of robustly gathering pedestrian paths in space using 2D LiDAR and monocular cameras mounted onboard a moving vehicle. These gathered pedestrian paths can later be used to infer network traffic to learn to anticipate the location of ride requests throughout a day. This allows mobility on demand systems to more efficiently utilize resources, saving money and time while providing a more favorable experience for customers. The onboard LiDAR is used to cluster and track objects through space using the Dynamic Means algorithm. Pedestrian detection is performed on images from the mounted cameras by extracting a combination of histogram of oriented gradients and LUV color channel features which are then classified by a set of learned decision trees. Temporal information is leveraged to achieve higher detection quality by accruing classification votes. Both a standard fusion technique and a novel extrinsic calibration error-resistant fusion method are tested to fuse camera and LiDAR information for pedestrian path collection. The novel error-resistant fusion system is shown to outperform standard fusion techniques under both normal conditions and when synthetic extrinsic calibration noise is added. System robustness and quality is demonstrated by experiments carried out in real world environments, including the target environment, a university campus.
by Andrés Michael Levering Hasfura.
M. Eng.
Vang, Nielsen Andreas. "Future Active Mobility". Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160945.
Texto completoWong, Joanne (Joanne Sharon). "Driving toward monopoly : regulating autonomous mobility platforms as public utilities". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118227.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 95-101).
Autonomous vehicles (AV) have captured the collective imagination of everyone from traditional auto manufacturers to computer software startups, from government administrators to urban planners. This thesis articulates a likely future for the deployment of AVs. Through stakeholder interviews and industry case studies, I show that there is general optimism about the progress of AV technology and its power to positively impact society. Stakeholders across sectors are expecting a future of autonomous electric fleets, but have divergent attitudes toward the regulation needed to facilitate its implementation. I demonstrate that, given the immense upfront capital investments and the nature of network effects intrinsic to data-intensive platforms, the autonomous mobility-as-a-service system is likely to tend toward a natural monopoly. This view is corroborated by key informants as well as recent industry trends. In order to better anticipate the characteristics of this emerging platform, I look back at the developmental trajectories of two classic public utilities - telecommunications and the electricity industry. I argue that the aspiring monopolists in autonomous mobility, like icons in these traditional industries, will succeed in supplanting a legacy technology with a new, transformative one, and use pricing and market consolidation tactics to gain regional dominance. The discussion on monopoly power is then adapted to the new business models of internet-enabled technology giants, and I examine two additional industry case studies in Google and Amazon. I argue that the autonomous mobility platform will first be designed to prioritize scale over everything else, including profits, and that firms are likely to pursue both horizontal and vertical integration strategies to achieve sustained market leadership. I conclude by recommending next steps for reining in platforms that may harm the public interest, and encourage planners to traverse disciplinary boundaries to better facilitate discussions between innovators and regulators.
by Joanne Wong.
M.C.P.
Vascik, Parker D. (Parker Denys Neff). "Systems-level analysis of On Demand Mobility for aviation". Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/109058.
Texto completoThesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, Technology and Policy Program, 2017.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 245-256).
On Demand Mobility (ODM) is an emerging transportation concept that leverages pervasive telecommunication connectivity to enable the real-time matching of consumers with transportation service providers. Having experienced rapid adoption in ground transportation markets, numerous entities are now investigating opportunities to provide aircraft-based ODM within metropolitan areas. Previous research efforts have focused primarily on the technical capabilities of novel electric propulsion aircraft and sought to characterize the market potential for these vehicles. This thesis complements these initial efforts by adopting a broad view of anticipated aircraft-based ODM services to identify operational constraints and evaluate near and far-term mitigation opportunities. A systems-level analysis was used to capture interdisciplinary influence factors such as limitations placed on ODM networks as a result of air traffic control, ground infrastructure integration, network load balancing, unmanned aircraft interaction and community noise, among others. The holistic considerations of this analysis extend beyond the traditional conceptual design disciplines of engineering and business to include evaluative perspective from the legal, policy, urban planning and sustainability domains. The first order, systems-level analysis approach for early-phase conceptual design developed in this thesis was applied to a case study in Los Angeles. Promising markets were identified based upon current commuting and wealth patterns. A notional concept of operations was then applied to twelve reference missions within these markets. Scrutiny of these missions revealed a variety of operational challenges from which five preeminent constraints were derived. These constraints may limit or prohibit ODM aircraft operations and include ground infrastructure availability, aircraft noise emissions and air traffic control scalability. Furthermore, significant legal and policy challenges were identified related to low altitude flight, environmental impacts and community acceptance. Findings from this thesis may support the ODM community to develop a system architecting plan that directs technology investments, stakeholder negotiations and network implementation so as to overcome the identified constraints and avoid or internalize negative externalities.
by Parker D. Vascik.
S.M.
S.M. in Technology and Policy
Zhang, Cen. "Modelling the Demand Evolution of New Shared Mobility Services". Kyoto University, 2019. http://hdl.handle.net/2433/242485.
Texto completoRigole, Pierre-Jean. "Study of a Shared Autonomous Vehicles Based Mobility Solution in Stockholm". Thesis, KTH, Industriell ekologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-151126.
Texto completoCRISTODARO, CALOGERO. "Advanced Integration of GNSS and External Sensors for Autonomous Mobility Applications". Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2734313.
Texto completoChandan, Shridhar. "Discrete Event Simulation of Mobility and Spatio-Temporal Spectrum Demand". Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/25331.
Texto completoMaster of Science
Cantwell, Marilyn L. "Resource and demand effects on elderly functionality and residential mobility /". The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487671108307051.
Texto completoLackey, Nathan. "Simulating Autonomous Vehicles in a Microscopic Traffic Simulator to Investigate the Effects of Autonomous Vehicles on Roadway Mobility". The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555072367385629.
Texto completoPurohit, Tejas. "NIO Horizon : Future autonomous flight experience". Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-161309.
Texto completoRajna, Botond. "Mobility analysis with mobile phone data". Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-106949.
Texto completoChuang, Chih-Chao. "Green mobility Taipei City : with the arrival of mobility-on-demand system with ultra small electric vehicles". Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/67763.
Texto completoCataloged from PDF version of thesis. Page 250 blank.
Includes bibliographical references (p. 246-249).
Urban form always transforms when new transportation technology is deployed. Urban form and transportation technologies always coevolve. Many new technologies have been developed to solve the problems of greenhouse gas emission, air pollution, energy efficiency, high gas prices, traffic congestion, etc. Electric vehicles (EVs) and Mobility-on-Demand systems are two of these technologies. With the advancement of battery technologies, EVs are become the next mainstream product for Automobile industry. Meanwhile, there are many new concepts about various alternative types of car ownership, such as Mobility-on-Demand (MoD) systems, a one-way rental car sharing systems, for which the Smart Cities group of MIT Media Lab is doing research. The regulation and infrastructure of current cities are mainly designed to accommodate gasoline-powered and private owned vehicles. This thesis addresses how will urban fabric and space transform with the arrivals of EVs and MoD systems and what kind of service and urban infrastructure can be integrated when individual vehicles become a node of mobility network. The thesis focuses on Taipei City as a case study city and develops varies scale design strategies, ranging from charging infrastructure, street, sidewalk, curb, parking infrastructure, to building type. The thesis also discusses the benefit of EVs and MoD system may bring to a city.
by Chih-Chao Chuang.
S.M.
Johansson, Mårten. "Mobility as a Service: Exploring Young People’s Mobility Demands and Travel Behavior". Thesis, KTH, Samhällsplanering och miljö, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215509.
Texto completoNguyen, Khoi Anh. "Development of an Autonomous and Intelligent System for Residential Water End-Use Classification". Thesis, Griffith University, 2013. http://hdl.handle.net/10072/366417.
Texto completoThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith School of Engineering
Science, Environment, Engineering and Technology
Full Text
Bernardi, Filippo <1991>. "The Future of Mobility: Impact of the Autonomous Car on Our Everyday Life". Master's Degree Thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/9068.
Texto completoQiu, Han S. M. Massachusetts Institute of Technology. "Dynamic pricing in shared mobility on demand service and its social impacts". Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111432.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 69-73).
In this thesis, we formulate and solve a profit maximization problem of shared mobility on demand service operations, and investigate the impact of such operations on performance of transportation system with a carefully designed case study. It is shown that our approach can generate much more profit than other basic strategies, though it has negative impacts on system performance, such as increasing congestion level and reducing capacity provided. We also consider possible regulation schemes on such profit-driven operations, and find that schemes related to the total reduced distance in system can achieve significant improvement. These findings indicate several research directions in future for better designing or regulating shared mobility on demand service from the system perspective.
by Han Qiu.
S.M. in Transportation
Chen, Yen-wen. "Tax incentives, job mobility and the demand for private pensions in Taiwan". The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1271773566.
Texto completoMarcocchia, Giulia. "Projects as the enablers of ecosystem’s emergence : The case of the connected autonomous mobility". Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLT020/document.
Texto completoThe thesis deals with the relevant forms of management of innovation projects with a strong systemic, disruptive and digital component, which contribute to the structuring of an ecosystem. Indeed, these types of innovation are becoming more and more numerous given the growing connection of objects / services / companies / public authorities and the resulting new cross-business opportunities.The insights provided by existing literature enable managers to perform strategic decision making when rules of the game are set among known actors, but not when the actors and the environment are progressively defined. Nowadays, managers from private and public institutions need to get aligned with variable internal, external conditions, time perspectives, and ill-defined demand system; they miss guidance on how proceeding with it. The research questions emerging from empirical and theoretical investigations are the following: 1. How can an ecosystem project be managed? Is there a specific pattern, and which are the variables of project steering? 2.Which are the most strategically performing steering processes for the selection of innovation projects related to ecosystem structuring? Which are the organizational variables and the mediating variables toward eco-systemic structuring? 3. Which are the more adequate management artefacts to support the exploration process in a context of ecosystem project?In order to study the dynamics at work, and to instrumentalise their management, the research work focuses on the case of connected mobility, observed through the participation in three projects, according to the uses defined by the impetus of OEMs, and under the initiatives of users (autonomous vehicle, connected, electric, shared). The projects chosen concern the diffusion of the fast charging infrastructure of the electric vehicle, the creation of a prototype marketplace for the data collected by the vehicles, and the development of services enabled by the autonomous vehicle. All of them constitute a terrain particularly disrupted by the trend of connection, forcing a reconfiguration of actors, their partnership policies, their business model (ex: Uber, Google Car ...). Hence the current need to update existing tools and theories in innovation management. The analysis of the data collected provides elements to answer the research questions. Following the identification of management challenges specific to systemic and disruptive innovation projects, we have developed a framework of analysis and action integrating the three underlying theoretical logic (platform leadership / systemic innovation, disruptive innovation / design driven innovation, digital business model). We have identified and characterized a project typology, the Proto-ecosystem project, which enables stakeholders to create the knowledge, skills and connections that contribute to the structuring of an ecosystem. We have identified the typical process by stage finalized to the alignment of the partners of the observed projects and the more efficient artifacts in this alignment process. We have indicated the limitations of this research and the possible future evolutions
Bertoldi, Leonardo <1995>. "AUTONOMOUS DRIVING AND ITS FUTURE IMPACT ON MOBILITY: An analysis of perception in EU". Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/15787.
Texto completoSchubert, Uwe y Ewald Brunner. "Labor Demand, Capital Mobility and R&D Investment in a Multiregional Context". WU Vienna University of Economics and Business, 1985. http://epub.wu.ac.at/6225/1/IIR_Disc_25.PDF.
Texto completoFields, Evan(Evan Jerome). "Demand uncensored : car-sharing mobility services using data-driven and simulation-based techniques". Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121825.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 141-145).
In the design and operation of urban mobility systems, it is often desirable to understand patterns in traveler demand. However, demand is typically unobserved and must be estimated from available data. To address this disconnect, we begin by proposing a method for recovering an unknown probability distribution given a censored or truncated sample from that distribution. The proposed method is a novel and conceptually simple detruncation technique based on sampling the observed data according to weights learned by solving a simulation-based optimization problem; this method is especially appropriate in cases where little analytic information about the unknown distribution is available but the truncation process can be simulated.
The proposed method is compared to the ubiquitous maximum likelihood (MLE) method in a variety of synthetic validation experiments where it is found that the proposed method performs slightly worse than perfectly specified MLE and competitively with slight misspecified MLE. We then describe a novel car-sharing simulator which captures many of the important interactions between supply, demand, and system utilization while remaining simple and computationally efficient. In collaboration with Zipcar, a leading car-sharing operator in the United States, we demonstrate the usefulness of our detruncation method combined with our simulator via a pair of case studies. These tools allow us to estimate demand for round trip car-sharing services in the Boston and New York metropolitan areas, and the inferred demand distributions contain actionable insights.
Finally, we extend the detruncation method to cover cases where data is noisy, missing, or must be combined from different sources such as web or mobile applications. In synthetic validation experiments, the extended method is benchmarked against kernel density estimation (KDE) with Gaussian kernels. We find that the proposed method typically outperforms KDE, especially when the distribution to be estimated is not unimodal. With this extended method we consider the added utility of search data when estimating demand for car-sharing.
by Evan Fields.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center
Lee, Kyubang. "The demand for owner-occupied housing : a study of the simultaneity among housing demand, the choice of loan-value ratio and the length of stay /". The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1278610468.
Texto completoÖstman, Ludwig. "Rolls-Royce and the Future of Luxury Mobility". Thesis, Umeå universitet, Designhögskolan vid Umeå universitet, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-154738.
Texto completoFarzana, Fatema Hoque. "Estimation and Prediction of Mobility and Reliability Measures Using Different Modeling Techniques". FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3880.
Texto completoKarlsson, Josefin y Anna-Sara Törnberg. "Short-term parking demand - An empirical study conducted in Norrköping". Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130002.
Texto completoGross, Eytan. "Scenario discovery for a future of automated mobility on-demand in the urban environment". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120604.
Texto completoThis 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 113-116).
Future uncertainty has always been a hindrance in the field of transportation planning. It is difficult to make robust decisions regarding optimal transportation policies when uncertainty is so wide. This project presents a novel approach for applying scenario discovery to agentbased simulation. In scenario discovery we define a space of uncertainty, and seek to find sub-spaces where strategies fail. Since scenario discovery requires running multiple simulations under different conditions of uncertainty, we can produce compelling narrative as to why certain strategies fail in the space where they do. Our two main performance measures are individual accessibility and overall petroleum-based energy consumption. We apply the Patient Rule Induction Method (PRIM), a method for clustering points within a hyper-space that fail to meet certain criteria, to both of these outputs. The strategies that were tested were: the current state; a strategy where automated mobility on-demand replaces current forms of mobility on-demand; a strategy where the frequency of all public transportation lines is doubled; a strategy where automated mobility on-demand are used only to solve the first-last mile problem for public transportation; and a strategy where all private modes are banned from entering the city's central business district (CBD). The strategy which produced the best overall performance taking into account both accessibility and energy consumption was the strategy by which the CBD was restricted. This framework of scenario discovery applied to agent-based simulation can be applied to additional modeled cities in the future.
by Eytan Gross.
S.M. in Transportation
Iacobucci, Riccardo. "Shared Autonomous Electric Vehicles: potential for Power Grid integration". Kyoto University, 2018. http://hdl.handle.net/2433/235105.
Texto completo0048
新制・課程博士
博士(エネルギー科学)
甲第21385号
エネ博第373号
新制||エネ||73(附属図書館)
京都大学大学院エネルギー科学研究科エネルギー社会・環境科学専攻
(主査)教授 手塚 哲央, 教授 下田 宏, 准教授 MCLELLAN,Benjamin
学位規則第4条第1項該当
Riccardo, Iacobucci. "Shared Autonomous Electric Vehicles: potential for Power Grid integration". Doctoral thesis, Kyoto University, 2009. http://hdl.handle.net/2433/235105.
Texto completo0048
新制・課程博士
博士(エネルギー科学)
甲第21385号
エネ博第373号
新制||エネ||73(附属図書館)
京都大学大学院エネルギー科学研究科エネルギー社会・環境科学専攻
(主査)教授 手塚 哲央, 教授 下田 宏, 准教授 MCLELLAN,Benjamin
学位規則第4条第1項該当
Doctor of Energy Science
Kyoto University
DFAM
Ballard, Lance Dale. "Human-scaled personal mobility device performance characteristics". Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45930.
Texto completoKrishnakumar, Sita Srinivasaraghavan. "Intelligent actor mobility in wireless sensor and actor networks". Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24735.
Texto completoCommittee Chair: Abler, Randal T.; Committee Member: Copeland, John A.; Committee Member: Haas, Kevin; Committee Member: Moore II, Elliot; Committee Member: Owen III, Henry L.
Gandia, Rodrigo. "Innovation in ecosystem business models : An application to MaaS and Autonomous vehicles in urban mobility system". Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASC018.
Texto completoThe concept of Mobility as a Service (MaaS) has become widespread in Western countries and has become a solid market option, presenting a transport system offer based no longer on ownership but use. This approach places the user at the heart of urban mobility issues, so consumers must be open to adopting new technologies and services, such as autonomous vehicles. Based on our research, this Ph.D. thesis aims to analyze the concept of MaaS in order to identify the conditions for its implementation and diffusion in tomorrow's urban mobility. We found that to take a sustainable place in the urban mobility system, MaaS must be considered as a modular and adaptable business model applicable to all socio-political, regulatory, environmental, and economic contexts. To this end, the business model of this innovative ecosystem must take into account consumer acceptance, coordination of the multiple actors making up the value chain within a MaaS and existing transport systems that are specific with their development of technological
Sail, Siddharth Subhash. "On the applicability of random mobility models for swarm robot movements /". Online version of thesis, 2007. http://hdl.handle.net/1850/3939.
Texto completoBaleia, José Rodrigo Ferreira. "Haptic robot-environment interaction for self-supervised learning in ground mobility". Master's thesis, Faculdade de Ciências e Tecnologia, 2014. http://hdl.handle.net/10362/12475.
Texto completoThis dissertation presents a system for haptic interaction and self-supervised learning mechanisms to ascertain navigation affordances from depth cues. A simple pan-tilt telescopic arm and a structured light sensor, both fitted to the robot’s body frame, provide the required haptic and depth sensory feedback. The system aims at incrementally develop the ability to assess the cost of navigating in natural environments. For this purpose the robot learns a mapping between the appearance of objects, given sensory data provided by the sensor, and their bendability, perceived by the pan-tilt telescopic arm. The object descriptor, representing the object in memory and used for comparisons with other objects, is rich for a robust comparison and simple enough to allow for fast computations. The output of the memory learning mechanism allied with the haptic interaction point evaluation prioritize interaction points to increase the confidence on the interaction and correctly identifying obstacles, reducing the risk of the robot getting stuck or damaged. If the system concludes that the object is traversable, the environment change detection system allows the robot to overcome it. A set of field trials show the ability of the robot to progressively learn which elements of environment are traversable.
Wright, Landon Blaine. "Simulation Framework and Potential Field Relocation for Systems of Shared Autonomous Vehicles". BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/8629.
Texto completo