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Journal articles on the topic 'Autonomous mobility on-demand (AMoD)'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Iglesias, Ramon, Federico Rossi, Rick Zhang, and Marco Pavone. "A BCMP network approach to modeling and controlling autonomous mobility-on-demand systems." International Journal of Robotics Research 38, no. 2-3 (2018): 357–74. http://dx.doi.org/10.1177/0278364918780335.

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In this paper we present a queuing network approach to the problem of routing and rebalancing a fleet of self-driving vehicles providing on-demand mobility within a capacitated road network. We refer to such systems as autonomous mobility-on-demand (AMoD) systems. We first cast an AMoD system into a closed, multi-class Baskett–Chandy–Muntz–Palacios (BCMP) queuing network model capable of capturing the passenger arrival process, traffic, the state-of-charge of electric vehicles, and the availability of vehicles at the stations. Second, we propose a scalable method for the synthesis of routing a

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Dai, Jiajie, Qianyu Zhu, Nan Jiang, and Wuyang Wang. "Rebalancing Autonomous Vehicles using Deep Reinforcement Learning." International Journal of Circuits, Systems and Signal Processing 16 (January 15, 2022): 646–52. http://dx.doi.org/10.46300/9106.2022.16.80.

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The shared autonomous mobility-on-demand (AMoD) system is a promising business model in the coming future which provides a more efficient and affordable urban travel mode. However, to maintain the efficient operation of AMoD and address the demand and supply mismatching, a good rebalancing strategy is required. This paper proposes a reinforcement learning-based rebalancing strategy to minimize passengers’ waiting in a shared AMoD system. The state is defined as the nearby supply and demand information of a vehicle. The action is defined as moving to a nearby area with eight different direction

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Grahle, A., Y. W. Song, K. Brüske, B. Bender, and D. Göhlich. "AUTONOMOUS SHUTTLES FOR URBAN MOBILITY ON DEMAND APPLICATIONS – ECOSYSTEM DEPENDENT REQUIREMENT ELICITATION." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 887–96. http://dx.doi.org/10.1017/dsd.2020.100.

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AbstractFuture transport will change drastically with the introduction of automated vehicles. Here, Autonomous Mobility on Demand (AMoD) will play a major role, requiring a radical change of vehicle design, with many different conceivable concepts. This technology shift holds high potentials and high risks. Uncertainties about future usage profiles, operator and customer requirements have to be dealt with. An approach to elicit initial requirements for future vehicle concepts considering the entire ecosystem is introduced. The applicability is shown for a specific urban mobility scenario.

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Wang, Ning, and Jiahui Guo. "Modeling and Optimization of Multiaction Dynamic Dispatching Problem for Shared Autonomous Electric Vehicles." Journal of Advanced Transportation 2021 (November 15, 2021): 1–19. http://dx.doi.org/10.1155/2021/1368286.

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The fusion of electricity, automation, and sharing is forming a new Autonomous Mobility-on-Demand (AMoD) system in current urban transportation, in which the Shared Autonomous Electric Vehicles (SAEVs) are a fleet to execute delivery, parking, recharging, and repositioning tasks automatically. To model the decision-making process of AMoD system and optimize multiaction dynamic dispatching of SAEVs over a long horizon, the dispatching problem of SAEVs is modeled according to Markov Decision Process (MDP) at first. Then two optimization models from short-sighted view and farsighted view based on

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Nahmias-Biran, Bat-Hen, Gabriel Dadashev, and Yedidya Levi. "Sustainable Automated Mobility-On-Demand Strategies in Dense Urban Areas: A Case Study of the Tel Aviv Metropolis in 2040." Sustainability 15, no. 22 (2023): 16037. http://dx.doi.org/10.3390/su152216037.

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The emergence of automated mobility-on-demand (AMoD) services in urban regions has underscored crucial issues concerning the sustainable advancement of urban mobility. In particular, the impact of various AMoD implementation strategies in dense, transit-oriented cities has yet to be investigated in a generalized manner. To address this gap, we quantify the effects of AMoD on trip patterns, congestion, and energy and emissions in a dense, transit-oriented prototype city via high-fidelity simulation. We employ an activity- and agent-based framework, with specific demand and supply considerations

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Nahmias-Biran, Bat-hen, Jimi B. Oke, Nishant Kumar, et al. "From Traditional to Automated Mobility on Demand: A Comprehensive Framework for Modeling On-Demand Services in SimMobility." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 12 (2019): 15–29. http://dx.doi.org/10.1177/0361198119853553.

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Mobility on demand (MoD) systems have recently emerged as a promising paradigm for sustainable personal urban mobility in cities. In the context of multi-agent simulation technology, the state-of-the-art lacks a platform that captures the dynamics between decentralized driver decision-making and the centralized coordinated decision-making. This work aims to fill this gap by introducing a comprehensive framework that models various facets of MoD, namely heterogeneous MoD driver decision-making and coordinated fleet management within SimMobility, an agent- and activity-based demand model integra

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Salazar, Mauro, Nicolas Lanzetti, Federico Rossi, Maximilian Schiffer, and Marco Pavone. "Intermodal Autonomous Mobility-on-Demand." IEEE Transactions on Intelligent Transportation Systems 21, no. 9 (2020): 3946–60. http://dx.doi.org/10.1109/tits.2019.2950720.

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Wang, Senlei, Gonçalo Homem de Almeida Correia, and Hai Xiang Lin. "Assessing the Potential of the Strategic Formation of Urban Platoons for Shared Automated Vehicle Fleets." Journal of Advanced Transportation 2022 (July 21, 2022): 1–20. http://dx.doi.org/10.1155/2022/1005979.

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This paper addresses the problem of studying the impacts of the strategic formation of platoons in automated mobility-on-demand (AMoD) systems in future cities. Forming platoons has the potential to improve traffic efficiency, resulting in reduced travel times and energy consumption. However, in the platoon formation phase, coordinating the vehicles at formation locations for forming a platoon may delay travelers. In order to assess these effects, an agent-based model has been developed to simulate an urban AMoD system in which vehicles travel between service points transporting passengers eit

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Azevedo, Carlos Lima, Katarzyna Marczuk, Sebastián Raveau, et al. "Microsimulation of Demand and Supply of Autonomous Mobility On Demand." Transportation Research Record: Journal of the Transportation Research Board 2564, no. 1 (2016): 21–30. http://dx.doi.org/10.3141/2564-03.

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10

Wen, Jian, Neema Nassir, and Jinhua Zhao. "Value of demand information in autonomous mobility-on-demand systems." Transportation Research Part A: Policy and Practice 121 (March 2019): 346–59. http://dx.doi.org/10.1016/j.tra.2019.01.018.

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11

Dia, Hussein, and Farid Javanshour. "Autonomous Shared Mobility-On-Demand: Melbourne Pilot Simulation Study." Transportation Research Procedia 22 (2017): 285–96. http://dx.doi.org/10.1016/j.trpro.2017.03.035.

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Salazar, Mauro, Sara Betancur Giraldo, Fabio Paparella, and Leonardo Pedroso. "On Accessibility Fairness in Intermodal Autonomous Mobility-on-Demand Systems." IFAC-PapersOnLine 58, no. 10 (2024): 327–33. http://dx.doi.org/10.1016/j.ifacol.2024.07.361.

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13

Javanshour, Farid, Hussein Dia, and Gordon Duncan. "Exploring the performance of autonomous mobility on-demand systems under demand uncertainty." Transportmetrica A: Transport Science 15, no. 2 (2018): 698–721. http://dx.doi.org/10.1080/23249935.2018.1528485.

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Marczuk, Katarzyna A., Harold S. H. Soh, Carlos M. L. Azevedo, Der-Horng Lee, and Emilio Frazzoli. "Simulation Framework for Rebalancing of Autonomous Mobility on Demand Systems." MATEC Web of Conferences 81 (2016): 01005. http://dx.doi.org/10.1051/matecconf/20168101005.

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Prado-Díaz, Alberto, Stella Schroeder, and Claudio Cortes-Aros. "Impactos del corredor migratorio en ciudades de Perú y Chile: transformaciones urbanas durante la pandemia." Revista Urbano 25, no. 45 (2022): 08–19. http://dx.doi.org/10.22320/07183607.2022.25.45.01.

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The eviction of migrants from Plaza Brasil, in the city of Iquique, an act that was questioned due to the violence used by public forces, revealed not just the humanitarian problem involved, but also a turning point in attempts to normalize a process where cities have been altered by the exodus of migrants. This study looks into the impacts generated by the successive stages of migration within the Venezuelan migratory flow, one characterized by the great vulnerability of these migrants. Since the start of 2020, amid a health crisis and border closures, they have entered Colombia, Ecuador, Per

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Hogeveen, Peter, Maarten Steinbuch, Geert Verbong, and Auke Hoekstra. "Quantifying the Fleet Composition at Full Adoption of Shared Autonomous Electric Vehicles: An Agent-based Approach." Open Transportation Journal 15, no. 1 (2021): 47–60. http://dx.doi.org/10.2174/1874447802115010047.

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Aims: Exploring the impact of full adoption of fit-for-demand shared and autonomous electric vehicles on the passenger vehicle fleet of a society. Background: Shared Eutonomous Electric Vehicles (SAEVs) are expected to have a disruptive impact on the mobility sector. Reduced cost for mobility and increased accessibility will induce new mobility demand and the vehicles that provide it will be fit-for-demand vehicles. Both these aspects have been qualitatively covered in recent research, but there have not yet been attempts to quantify fleet compositions in scenarios where passenger transport is

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Schnieder, Maren, Chris Hinde, and Andrew West. "Land Efficient Mobility: Evaluation of Autonomous Last Mile Delivery Concepts in London." International Journal of Environmental Research and Public Health 19, no. 16 (2022): 10290. http://dx.doi.org/10.3390/ijerph191610290.

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Land efficient last mile delivery concepts are key to reducing the traffic in cities and to minimising its environmental impact. This paper proposes a decision support method that evaluates the autonomous delivery concept and applies it to one year’s worth of real parcel delivery data in London. Deliveries to modular and fixed lockers with autonomous delivery vans and road-based autonomous lockers (RAL) and sidewalk autonomous delivery robots (SADRs) have been simulated. Various types of autonomous delivery van fleets, depot locations, customer modes of transport, parcel demand levels, parcel

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18

Medina-Tapia, Marcos, and Francesc Robusté. "Implementation of Connected and Autonomous Vehicles in Cities Could Have Neutral Effects on the Total Travel Time Costs: Modeling and Analysis for a Circular City." Sustainability 11, no. 2 (2019): 482. http://dx.doi.org/10.3390/su11020482.

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Autonomous vehicles promise to revolutionize the automobile market, although their implementation could take several decades in which both types of cars will coexist on the streets. We formulate a model for a circular city based on continuous approximations, considering demand surfaces over the city. Numerical results from our model predict direct and indirect effects of connected and autonomous vehicles. Direct effects will be positive for our cities: (a) less street supply is needed to accommodate the traffic; (b) congestion levels decrease: travel costs may decrease by 30%. Some indirect ef

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Wang, Jiawei, Yujie Sheng, Huaichang Ge, et al. "Charging Pricing for Autonomous Mobility-on-demand Fleets Based on Game Theory." Journal of Modern Power Systems and Clean Energy 12, no. 6 (2024): 2006–18. https://doi.org/10.35833/mpce.2024.000139.

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Szigeti, Szilárd, Csaba Csiszár, and Dávid Földes. "Information Management of Demand-responsive Mobility Service Based on Autonomous Vehicles." Procedia Engineering 187 (2017): 483–91. http://dx.doi.org/10.1016/j.proeng.2017.04.404.

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21

Meneses-Cime, Karina, Bilin Aksun-Guvenc, and Levent Guvenc. "Optimization of On-Demand Shared Autonomous Vehicle Deployments Utilizing Reinforcement Learning." Sensors 22, no. 21 (2022): 8317. http://dx.doi.org/10.3390/s22218317.

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Ride-hailed shared autonomous vehicles (SAV) have emerged recently as an economically feasible way of introducing autonomous driving technologies while serving the mobility needs of under-served communities. There has also been corresponding research work on optimization of the operation of these SAVs. However, the current state-of-the-art research in this area treats very simple networks, neglecting the effect of a realistic other traffic representation, and is not useful for planning deployments of SAV service. In contrast, this paper utilizes a recent autonomous shuttle deployment site in C

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22

Alexander, Serena, Asha Weinstein Agrawal, and Benjamin Clark. "Local Climate Action Planning as a Tool to Harness Greenhouse Gas Emissions Mitigation and the Equity Potential of Autonomous Vehicles and On-Demand Mobility." Transportation Research Record: Journal of the Transportation Research Board 2676, no. 3 (2021): 521–34. http://dx.doi.org/10.1177/03611981211052541.

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This paper focuses on how cities can use climate action plans (CAPs) to ensure that on-demand mobility and autonomous vehicles (AVs) help reduce, rather than increase, greenhouse gas (GHG) emissions and inequitable impacts from the transportation system. We employed a three-pronged research strategy involving: (1) an analysis of the current literature on on-demand mobility and AVs; (2) a systematic content analysis of 23 CAPs and general plans (GPs) developed by municipalities in California; and (3) a comparison of findings from the literature and content analysis of plans to identify opportun

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23

Hao, Mingyang, Yanyan Li, and Toshiyuki Yamamoto. "Public Preferences and Willingness to Pay for Shared Autonomous Vehicles Services in Nagoya, Japan." Smart Cities 2, no. 2 (2019): 230–44. http://dx.doi.org/10.3390/smartcities2020015.

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Shared autonomous vehicle systems are anticipated to offer cleaner, safer, and cheaper mobility services when autonomous vehicles are finally implemented on the roads. The evaluation of people’s intentions regarding shared autonomous vehicle services appears to be critical prior to the promotion of this emerging mobility on demand approach. Based on a stated preference survey in Nagoya, Japan, the preference for shared autonomous vehicle services as well as willingness to pay for these services were examined among 1036 respondents in order to understand the relationship between people’s socioe

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Lu, Ying, Yanchang Liang, Zhaohao Ding, Qiuwei Wu, Tao Ding, and Wei-Jen Lee. "Deep Reinforcement Learning-Based Charging Pricing for Autonomous Mobility-on-Demand System." IEEE Transactions on Smart Grid 13, no. 2 (2022): 1412–26. http://dx.doi.org/10.1109/tsg.2021.3131804.

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25

Turan, Berkay, Ramtin Pedarsani, and Mahnoosh Alizadeh. "Dynamic pricing and fleet management for electric autonomous mobility on demand systems." Transportation Research Part C: Emerging Technologies 121 (December 2020): 102829. http://dx.doi.org/10.1016/j.trc.2020.102829.

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Golbabaei, Fahimeh, Tan Yigitcanlar, Alexander Paz, and Jonathan Bunker. "Understanding Autonomous Shuttle Adoption Intention: Predictive Power of Pre-Trial Perceptions and Attitudes." Sensors 22, no. 23 (2022): 9193. http://dx.doi.org/10.3390/s22239193.

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The capability of ‘demand-responsive transport’, particularly in autonomous shared form, to better facilitate road-based mobility is considered a significant advantage because improved mobility leads to enhanced quality of life and wellbeing. A central point in implementing a demand-responsive transit system in a new area is adapting the operational concept to the respective structural and socioeconomic conditions. This requires an extensive analysis of the users’ needs. There is presently limited understanding of public perceptions and attitudes toward the adoption of autonomous demand-respon

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Wang, Dengzhong, Tongyu Sun, Anzheng Xie, and Zhao Cheng. "Simulation Study on the Coupling Relationship between Traffic Network Model and Traffic Mobility under the Background of Autonomous Driving." Sustainability 15, no. 2 (2023): 1535. http://dx.doi.org/10.3390/su15021535.

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Autonomous driving technology will bring revolutionary changes to the development of future cities and transportation. In order to study the impact of autonomous driving on urban transportation networks, this paper first summarizes the development status of autonomous driving technology, and then three space–traffic network coupling models are proposed based on the differences of speed and space, which are the traditional difference type, scale variation type, and slow-guided type. On this basis, a new 4 * 4 km grid city model is constructed. Based on the MATSim multi-agent simulation method,

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König, Alexandra, Christina Wirth, and Jan Grippenkoven. "Generation Y’s Information Needs Concerning Sharing Rides in Autonomous Mobility on Demand Systems." Sustainability 13, no. 14 (2021): 8095. http://dx.doi.org/10.3390/su13148095.

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Empirical studies show that autonomous vehicles can contribute to sustainability goals when rides are shared. However, sharing rides with strangers in shared autonomous mobility-on-demand systems (SAMODSs) might impede the adoption of these systems. The present study addresses the research question whether a comprehensive information provision about fellow passengers could increase acceptability of the shared rides in SAMODSs. A discrete choice experiment (N = 154) assessed the potential of different levels of information on fellow passengers: (1) no information, (2) name, (3) picture, (4) rat

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Belakaria, Syrine, Mustafa Ammous, Sameh Sorour, and Ahmed Abdel-Rahim. "Fog-Based Multi-Class Dispatching and Charging for Autonomous Electric Mobility On-Demand." IEEE Transactions on Intelligent Transportation Systems 21, no. 2 (2020): 762–76. http://dx.doi.org/10.1109/tits.2019.2897121.

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Paparella, F., K. Chauhan, T. Hofman, and M. Salazar. "Electric Autonomous Mobility-on-Demand: Joint Optimization of Routing and Charging Infrastructure Siting." IFAC-PapersOnLine 56, no. 2 (2023): 2526–31. http://dx.doi.org/10.1016/j.ifacol.2023.10.1302.

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Lei, Zengxiang, and Satish V. Ukkusuri. "Assessing the risks of adversarial booking attack to autonomous mobility-on-demand services." Transportation Research Part C: Emerging Technologies 178 (September 2025): 105218. https://doi.org/10.1016/j.trc.2025.105218.

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32

Metz, David. "Developing Policy for Urban Autonomous Vehicles: Impact on Congestion." Urban Science 2, no. 2 (2018): 33. http://dx.doi.org/10.3390/urbansci2020033.

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An important problem for surface transport is road traffic congestion, which is ubiquitous and difficult to mitigate. Accordingly, a question for policymakers is the possible impact on congestion of autonomous vehicles. It seems likely that the main impact of vehicle automation will not be seen until driverless vehicles are sufficiently safe for use amid general traffic on urban streets. Shared use driverless vehicles could reduce the cost of taxis and a wider range of public transport vehicles could be economic. Individually owned autonomous vehicles would have the ability to travel unoccupie

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Dolins, Sigma, Yale Z. Wong, and John D. Nelson. "The ‘Sharing Trap’: A Case Study of Societal and Stakeholder Readiness for On-Demand and Autonomous Public Transport in New South Wales, Australia." Sustainability 13, no. 17 (2021): 9574. http://dx.doi.org/10.3390/su13179574.

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Focus groups on shared, autonomous vehicles (SAVs) in New South Wales expressed “sharing anxiety”—an intense concern about the prospect of sharing their mobility journey with strangers, without a driver or authority figure present. This presents a significant barrier to the acceptance of SAVs, particularly autonomous public and on-demand transport (ODT), which is a major focus for Transport for New South Wales (TfNSW). Given this potential barrier, we interviewed (N = 13) operators, academics, and regulators with TfNSW to assess their role and abilities in overcoming sharing anxiety. However,

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Nemoto, Eliane Horschutz, Inna Morozova, Ralf Wörner, Ines Jaroudi, Guy Fournier, and Adrian Boos. "Substituting individual mobility by mobility on demand using autonomous vehicles - a sustainable assessment simulation of Berlin and Stuttgart." International Journal of Automotive Technology and Management 20, no. 4 (2020): 369. http://dx.doi.org/10.1504/ijatm.2020.10034385.

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Fournier, Guy, Adrian Boos, Ralf Wörner, Ines Jaroudi, Inna Morozova, and Eliane Horschutz Nemoto. "Substituting individual mobility by mobility on demand using autonomous vehicles - a sustainable assessment simulation of Berlin and Stuttgart." International Journal of Automotive Technology and Management 20, no. 4 (2020): 369. http://dx.doi.org/10.1504/ijatm.2020.112029.

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Kania, Malte, Vasu Dev Mukku, Karen Kastner, and Tom Assmann. "Data-Driven Approach for Defining Demand Scenarios for Shared Autonomous Cargo Bike Fleets." Applied Sciences 14, no. 1 (2023): 180. http://dx.doi.org/10.3390/app14010180.

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Bike sharing systems have become a sustainable alternative to motorized private transport in urban areas. However, users often face high costs and availability issues due to the operational effort required to redistribute bicycles between stations. For addressing those issues, the AuRa (Autonomes Rad, Eng. Autonomous Bicycle) project introduces a new mobility offer in terms of an on-demand, shared-use, self-driving cargo bikes service (OSABS) that enables automated redistribution. Within the project, we develop different order management and rebalancing strategies and validate them using simul

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Haj Salah, Imen, Vasu Dev Mukku, Malte Kania, Tom Assmann, and Hartmut Zadek. "Implications of the Relocation Type and Frequency for Shared Autonomous Bike Service: Comparison between the Inner and Complete City Scenarios for Magdeburg as a Case Study." Sustainability 14, no. 10 (2022): 5798. http://dx.doi.org/10.3390/su14105798.

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Finding a sustainable mobility solution for the future is one of the most competitive challenges in the logistics and transportation sector nowadays. Researchers, universities, and companies are working intensively to provide novel mobility options that can be environmentally friendly and sustainable. While autonomous car-sharing services have been introduced as a very promising solution, an innovative alternative is arising using self-driving bikes. Shared autonomous cargo bike fleets are likely to increase the livability and sustainability of the city as the use of cargo bikes in an on-deman

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Belakaria, Syrine, Mustafa Ammous, Lauren Smith, Sameh Sorour, and Ahmed Abdel-Rahim. "Multi-Class Management With Sub-Class Service for Autonomous Electric Mobility On-Demand Systems." IEEE Transactions on Vehicular Technology 68, no. 7 (2019): 7155–59. http://dx.doi.org/10.1109/tvt.2019.2920104.

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Tarkowski, Maciej, and Krystian Puzdrakiewicz. "Connectivity Benefits of Small Zero-Emission Autonomous Ferries in Urban Mobility—Case of the Coastal City of Gdańsk (Poland)." Sustainability 13, no. 23 (2021): 13183. http://dx.doi.org/10.3390/su132313183.

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An increase in energy-efficient transportation is one way that cities try to mitigate climate change. In coastal cities, public water transit is also undergoing transitions. A small zero-emission autonomous ferry seems to be a cutting-edge technology in this field. This study aims to decrease the knowledge gap in research on the impacts of autonomous passenger ferry development on urban mobility. In particular, the central theme regards the extent to which the new transport solution can help improve sustainable mobility patterns. This study explores the local spatial context of ferry developme

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Haj Salah, Imen, Vasu Dev Mukku, Malte Kania, and Tom Assmann. "Towards Sustainable Liveable City: Management Operations of Shared Autonomous Cargo-Bike Fleets." Future Transportation 1, no. 3 (2021): 505–32. http://dx.doi.org/10.3390/futuretransp1030027.

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Finding a sustainable mobility solution for the future is one of the most competitive challenges in the logistics and mobility sector at present. Policymakers, researchers, and companies are working intensively to provide novel options that are environmentally friendly and sustainable. While autonomous car-sharing services have been introduced as a very promising solution, an innovative alternative is arising: the use of self-driving bikes. Shared autonomous cargo-bike fleets are likely to increase the livability and sustainability of the city, as the use of cargo-bikes in an on-demand mobilit

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41

Signorile, Pierdomenico, Vincenzo Larosa, and Ada Spiru. "Mobility as a service: a new model for sustainable mobility in tourism." Worldwide Hospitality and Tourism Themes 10, no. 2 (2018): 185–200. http://dx.doi.org/10.1108/whatt-12-2017-0083.

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Purpose Developing sustainable mobility can add value to the travel and tourism experience in alpine areas and can become a challenge for destinations in terms of interests, goals, skills and values involving both public and private subjects. Mobility as a Service (MaaS) is a new model for delivering sustainable transport services that in recent experiences seem to be an alternative to the use of owned cars by allowing the personalized use of a bundle of public and private transport means. This paper aims to identify the positive aspects in the two main Alpine regions affected by tourism deman

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42

Moreno, Ana T., Andrzej Michalski, Carlos Llorca, and Rolf Moeckel. "Shared Autonomous Vehicles Effect on Vehicle-Km Traveled and Average Trip Duration." Journal of Advanced Transportation 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/8969353.

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Intermediate modes of transport, such as shared vehicles or ride sharing, are starting to increase their market share at the expense of traditional modes of car, public transport, and taxi. In the advent of autonomous vehicles, single occupancy shared vehicles are expected to substitute at least in part private conventional vehicle trips. The objective of this paper is to estimate the impact of shared autonomous vehicles on average trip duration and vehicle-km traveled in a large metropolitan area. A stated preference online survey was designed to gather data on the willingness to use shared a

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Fu, Mengying, Raoul Rothfeld, and Constantinos Antoniou. "Exploring Preferences for Transportation Modes in an Urban Air Mobility Environment: Munich Case Study." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 10 (2019): 427–42. http://dx.doi.org/10.1177/0361198119843858.

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Urban Air Mobility (UAM) is a recent mobility concept with the potential to reduce travel time and change travel patterns. When evaluating the introduction of UAM, understanding the potential users’ choice behavior regarding current available urban transportation modes and autonomous transportation services is essential to demand estimation. This preliminary research intends to gain insight into the travel behavior impacts of autonomous transportation modes, especially UAM, by deriving measures for transportation service attributes and identifying characteristics of potential users who might a

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Gao, Jing, and Sen Li. "Charging autonomous electric vehicle fleet for mobility-on-demand services: Plug in or swap out?" Transportation Research Part C: Emerging Technologies 158 (January 2024): 104457. http://dx.doi.org/10.1016/j.trc.2023.104457.

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Yao, Sucheng, Kanjanee Budthimedhee, Sakol Teeravarunyou, Xinhao Chen, and Ziqiang Zhang. "Bidirectional Adaptation of Shared Autonomous Vehicles and Old Towns’ Urban Spaces: The Views of Residents on the Present." World Electric Vehicle Journal 16, no. 7 (2025): 395. https://doi.org/10.3390/wevj16070395.

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The integration of shared autonomous vehicles into historic urban areas presents both opportunities and challenges. In heritage-rich environments like very old Asian (such as Suzhou old town, which serves as a use case example) or European (especially Mediterranean coastal cities) areas—characterized by narrow alleys, dense development, and sensitive cultural landscapes—shared autonomous vehicle adoption raises critical spatial and social questions. This study employs a qualitative, user-centered approach based on the ripple model to examine residents’ perceptions across four dimensions: resid

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Yun, Soo Han. "Design research on the next-gen personal submersible for scalability of the marine mobility industry: Autonomous and AI-based ultra compact submersible." Korea Institute of Design Research Society 9, no. 2 (2024): 652–61. http://dx.doi.org/10.46248/kidrs.2024.2.652.

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The growth of coastal areas presents important challenges in terms of the development and diversification of marine leisure industries. As the demand and interest in underwater leisure activities increases due to the experience-oriented trend of the future generation, the need for new underwater transportation devices that can meet market demands has emerged. In this study, I investigated the main features of transportation devices that enable comfortable leisure activities underwater, especially compact recreational submersibles, which are currently growing rapidly, through leading overseas c

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Mo, Baichuan, Qing Yi Wang, Joanna Moody, Yu Shen, and Jinhua Zhao. "Impacts of subjective evaluations and inertia from existing travel modes on adoption of autonomous mobility-on-demand." Transportation Research Part C: Emerging Technologies 130 (September 2021): 103281. http://dx.doi.org/10.1016/j.trc.2021.103281.

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Rossi, Federico, Ramon Iglesias, Mahnoosh Alizadeh, and Marco Pavone. "On the Interaction Between Autonomous Mobility-on-Demand Systems and the Power Network: Models and Coordination Algorithms." IEEE Transactions on Control of Network Systems 7, no. 1 (2020): 384–97. http://dx.doi.org/10.1109/tcns.2019.2923384.

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König, Alexandra, and Jan Grippenkoven. "Travellers’ willingness to share rides in autonomous mobility on demand systems depending on travel distance and detour." Travel Behaviour and Society 21 (October 2020): 188–202. http://dx.doi.org/10.1016/j.tbs.2020.06.010.

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Engesser, Valeska, Evy Rombaut, Lieselot Vanhaverbeke, and Philippe Lebeau. "Autonomous Delivery Solutions for Last-Mile Logistics Operations: A Literature Review and Research Agenda." Sustainability 15, no. 3 (2023): 2774. http://dx.doi.org/10.3390/su15032774.

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The implementation of autonomous delivery solutions in last-mile logistics operations is considered promising. Autonomous delivery solutions can help in tackling urban challenges related to last-mile logistics operations. Urbanization creates higher mobility and transportation demand, which contributes to increased congestion levels, traffic, air pollution, and accident rates. Moreover, mega-trends, such as e-commerce, demand that logistics companies react to increased customer expectations in terms of delivery time and service. Concerning service, electrified autonomous delivery solutions hav

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