Academic literature on the topic 'Autonomous mobility on-demand (AMoD)'

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

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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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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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Dissertations / Theses on the topic "Autonomous mobility on-demand (AMoD)"

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Cortina, Mélanie. "Fostering synergy between public transportation and autonomous mobility on demand : the prospects of regulation." Electronic Thesis or Diss., Vaulx-en-Velin, École nationale des travaux publics de l’État, 2023. http://www.theses.fr/2023ENTP0010.

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Grâce à son aptitude à répondre à une demande asymétrique de manière efficace et son coût d'exploitation réduit, la mobilité autonome à la demande (MAD) pourrait permettre de diminuer l'empreinte carbone du système de transport urbain tout en maintenant sa performance. Mais pour éviter l'augmentation du nombre de kilomètres parcourus, la MAD doit fonctionner en synergie avec les transports en commun (TC), plus efficaces pour dégager des économies d'échelle. Or la coopération entre MAD privée et TC n'est pas garantie comme en témoigne l'exemple des Uber. Cette thèse cherche donc à explorer la q
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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.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 131-137).<br>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 develo
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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.

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Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 89-95).<br>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
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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.

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Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2018.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 87-91).<br>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) t
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Carreyre, Félix. "Are robotaxis worth it ? On-demand Autonomous Vehicle Mobility Services in heterogeneous Territories : A Cost Benefit Analysis." Electronic Thesis or Diss., Marne-la-vallée, ENPC, 2023. http://www.theses.fr/2023ENPC0043.

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La décennie 2010 a été marquée par un intérêt pour les véhicules automatisés (VA). Le nouveau marché ouvert par les promesses d'une sécurité et d'un confort améliorés a incité les constructeurs automobiles et de nouveaux venus à investir dans le développement des VA. La littérature scientifique s'est également intéressée à ce sujet et a produit des analyses pour étudier l'impact attendu de ce nouveau mode de transport. Ces travaux se sont principalement concentrés sur la capacité opérationnelle des services de VA à la demande pour remplacer les services aujourd’hui assurés par les voitures con
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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.

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This dissertation presents a big-picture view for policymakers and related stakeholders regarding the future development of car-sharing services. Car sharing has the potential to significantly disrupt the personal mobility market, particularly on the dawn of self-driving cars. Thus, understanding car-sharing service's market penetration and implications are urgently needed. Studies in this thesis aim to forecast the penetration of car-sharing, to investigate if car-sharing influence consumers' vehicle ownership decision, and to explore the impacts of car-sharing on households' mode choice deci
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ARCORACI, 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.

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Houshmand, Arian. "Eco-routing and scheduling of Connected and Autonomous Vehicles." Thesis, 2020. https://hdl.handle.net/2144/41035.

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Connected and Autonomous Vehicles (CAVs) benefit from both connectivity between vehicles and city infrastructures and automation of vehicles. In this respect, CAVs can improve safety and reduce traffic congestion and environmental impacts of daily commutes through making collaborative decisions. This dissertation studies how to reduce the energy consumption of vehicles and traffic congestion by making high-level routing decisions of CAVs. The first half of this dissertation considers the problem of eco-routing (finding the energy-optimal route) for Plug-In Hybrid Electric Vehicles (PHEVs)
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Book chapters on the topic "Autonomous mobility on-demand (AMoD)"

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Yigitcanlar, Tan. "Perceptions on Autonomous Demand-Responsive Transit Use." In Autonomous Urban Mobility. CRC Press, 2025. https://doi.org/10.1201/9781003605676-4.

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Pavone, Marco. "Autonomous Mobility-on-Demand Systems for Future Urban Mobility." In Autonomous Driving. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48847-8_19.

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Beiker, Sven. "Implementation of an Automated Mobility-on-Demand System." In Autonomous Driving. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48847-8_14.

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Pavone, Marco. "Autonomous Mobility-on-Demand Systems for Future Urban Mobility." In Autonomes Fahren. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45854-9_19.

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Javanshour, Farid, Hussein Dia, and Gordon Duncan. "Exploring System Characteristics of Autonomous Mobility On-Demand Systems Under Varying Travel Demand Patterns." In Intelligent Transport Systems for Everyone’s Mobility. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7434-0_17.

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Shen, Wen, and Cristina Lopes. "Managing Autonomous Mobility on Demand Systems for Better Passenger Experience." In PRIMA 2015: Principles and Practice of Multi-Agent Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25524-8_2.

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Yamin, Nuzhat, Syrine Belakaria, Sameh Sorour, and Mohamed Hefeida. "A Hierarchical Management Framework for Autonomous Electric Mobility-on-Demand Services." In Connected and Autonomous Vehicles in Smart Cities. CRC Press, 2020. http://dx.doi.org/10.1201/9780429329401-2.

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Mauri, Marcel, Ömer Ibrahim Erduran, and Mirjam Minor. "Jadex BDI Agents Integrated with MATSim for Autonomous Mobility on Demand." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71152-7_8.

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Ramaswamy, Arunkumar, and Javier Ibanez-Guzman. "A system architecture for the deployment of autonomous mobility on-demand vehicles." In Evaluation of Intelligent Road Transport Systems, 2nd ed. The Institution of Engineering and Technology, 2024. http://dx.doi.org/10.1049/pbtr046e_ch11.

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Kim, Ho-Yeon, Hyeon-Mun Jeong, and Han-Lim Choi. "Consensus-Based Auction Approaches for Autonomous Urban Air Mobility on Demand Systems." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4803-8_37.

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Conference papers on the topic "Autonomous mobility on-demand (AMoD)"

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Mauri, Marcel, Ömer Ibrahim Erduran, and Mirjam Minor. "Robust BDI Agents in Autonomous Mobility on Demand." In 2024 International Conference on AI x Data and Knowledge Engineering (AIxDKE). IEEE, 2024. https://doi.org/10.1109/aixdke63520.2024.00016.

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Tian, Hangqi, Ning Wang, and Yuntao Guo. "Multi-stage Dynamic Scheduling Optimization for Autonomous Mobility-on-Demand Systems." In 2024 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2024. http://dx.doi.org/10.1109/icma61710.2024.10632943.

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Wu, Yongyi, Ruixiang Luo, Junxiang Ji, et al. "NDA-CoMBS: Network Demand-Aware Autonomous Cooperative Decision-Making for Mobile Base Stations." In 2024 20th International Conference on Mobility, Sensing and Networking (MSN). IEEE, 2024. https://doi.org/10.1109/msn63567.2024.00114.

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T. Alotaibi, Ebtehal, and Michael Herrmann. "Max-Policy Sharing for Multi-Agent Reinforcement Learning in Autonomous Mobility on Demand." In 12th International Conference on Digital Image Processing and Vision. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131333.

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Autonomous-Mobility-on-Demand (AMoD) systems can revolutionize urban transportation by providing mobility as a service without car ownership. However, optimizing the performance of AMoD systems presents a challenge due to competing objectives of reducing customer wait times and increasing system utilization while minimizing empty miles. To address this challenge, this study compares the performance of max-policy sharing agents and independent learners in an AMoD system using reinforcement learning. The results demonstrate the advantages of the max-policy sharing approach in improving Quality o
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Ang, Marcelo H. "Achieving mobility on demand using autonomous vehicles." In 2015 6th International Conference on Power Electronics Systems and Applications (PESA) - Advancement in Electric Transportation - Automotive, Vessel & Aircraft. IEEE, 2015. http://dx.doi.org/10.1109/pesa.2015.7398961.

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Andersen, Hans, You Hong Eng, Wei Kang Leong, et al. "Autonomous personal mobility scooter for multi-class mobility-on-demand service." In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2016. http://dx.doi.org/10.1109/itsc.2016.7795795.

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Dandl, Florian, Klaus Bogenberger, and Hani S. Mahmassani. "Autonomous Mobility-on-Demand Real-Time Gaming Framework." In 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, 2019. http://dx.doi.org/10.1109/mtits.2019.8883286.

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Distler, Verena, Carine Lallemand, and Thierry Bellet. "Acceptability and Acceptance of Autonomous Mobility on Demand." In CHI '18: CHI Conference on Human Factors in Computing Systems. ACM, 2018. http://dx.doi.org/10.1145/3173574.3174186.

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Zhang, Rick, Federico Rossi, and Marco Pavone. "Model predictive control of autonomous mobility-on-demand systems." In 2016 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2016. http://dx.doi.org/10.1109/icra.2016.7487272.

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Tsao, Matthew, Ramon Iglesias, and Marco Pavone. "Stochastic Model Predictive Control for Autonomous Mobility on Demand." In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018. http://dx.doi.org/10.1109/itsc.2018.8569459.

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Reports on the topic "Autonomous mobility on-demand (AMoD)"

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Alexander, Serena, Asha Weinstein Agrawal, and Benjamin Y. Clark. Local Climate Action Planning as a Tool to Harness the Greenhouse Gas Emissions Mitigation and Equity Potential of Autonomous Vehicles and On-Demand Mobility. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2020.1818.

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This report 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, green-house 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 developed by municipalities in California; and (3) a comparison of findings from the literature and content analysis of plans to identify opportunitie
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Alexander, Serena, Asha Weinstein Agrawal, and Benjamin Y. Clark. Local Climate Action Planning as a Tool to Harness the Greenhouse Gas Emissions Mitigation and Equity Potential of Autonomous Vehicles and On-Demand Mobility. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2020.1818.

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This report 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, green-house 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 developed by municipalities in California; and (3) a comparison of findings from the literature and content analysis of plans to identify opportunitie
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Doo, Johnny. Unsettled Issues Concerning eVTOL for Rapid-response, On-demand Firefighting. SAE International, 2021. http://dx.doi.org/10.4271/epr2021017.

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Recent advancements of electric vertical take-off and landing (eVTOL) aircraft have generated significant interest within and beyond the traditional aviation industry, and many novel applications have been identified and are in development. One promising application for these innovative systems is in firefighting, with eVTOL aircraft complementing current firefighting capabilities to help save lives and reduce fire-induced damages. With increased global occurrences and scales of wildfires—not to mention the issues firefighters face during urban and rural firefighting operations daily—eVTOL tec
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Doo, Johnny. The Use of eVTOL Aircraft for First Responder, Police, and Medical Transport Applications. SAE International, 2023. http://dx.doi.org/10.4271/epr2023020.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Advancements in electric vertical takeoff and landing (eVTOL) aircraft have generated significant interest within and beyond the traditional aviation industry. One particularly promising application involves on-demand, rapid-response use cases to broaden first responders, police, and medical transport mission capabilities. With the dynamic and varying public service operations, eVTOL aircraft can offer potentially cost-effective aerial mobility components to the overall solution, including significant lifesaving benefits
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