Academic literature on the topic 'Shared Automated Vehicles'
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Journal articles on the topic "Shared Automated Vehicles"
Clements, Lewis M., and Kara M. Kockelman. "Economic Effects of Automated Vehicles." Transportation Research Record: Journal of the Transportation Research Board 2606, no. 1 (January 2017): 106–14. http://dx.doi.org/10.3141/2606-14.
Full textHamiditehrani, Samira, Darren M. Scott, and Matthias N. Sweet. "Shared versus pooled automated vehicles: Understanding behavioral intentions towards adopting on-demand automated vehicles." Travel Behaviour and Society 36 (July 2024): 100774. http://dx.doi.org/10.1016/j.tbs.2024.100774.
Full textHunter, Jacob G., Matthew Konishi, Neera Jain, Kumar Akash, Xingwei Wu, Teruhisa Misu, and Tahira Reid. "The Interaction Gap: A Step Toward Understanding Trust in Autonomous Vehicles Between Encounters." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (September 2022): 147–51. http://dx.doi.org/10.1177/1071181322661311.
Full textAndrei, Liliana, Oana Luca, and Florian Gaman. "Insights from User Preferences on Automated Vehicles: Influence of Socio-Demographic Factors on Value of Time in Romania Case." Sustainability 14, no. 17 (August 30, 2022): 10828. http://dx.doi.org/10.3390/su141710828.
Full textTerken, Jacques, and Bastian Pfleging. "Toward Shared Control Between Automated Vehicles and Users." Automotive Innovation 3, no. 1 (February 20, 2020): 53–61. http://dx.doi.org/10.1007/s42154-019-00087-9.
Full textYou, Fang, Xu Yan, Jun Zhang, and Wei Cui. "Design Factors of Shared Situation Awareness Interface in Human–Machine Co-Driving." Information 13, no. 9 (September 16, 2022): 437. http://dx.doi.org/10.3390/info13090437.
Full textSarabia, Joseba, Mauricio Marcano, Sergio Díaz, Asier Zubizarreta, and Joshué Pérez. "Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study." Sensors 24, no. 2 (January 16, 2024): 562. http://dx.doi.org/10.3390/s24020562.
Full textBenarbia, Taha, Kyandoghere Kyamakya, Fadi Al Machot, and Witesyavwirwa Vianney Kambale. "Modeling and Simulation of Shared Electric Automated and Connected Mobility Systems with Autonomous Repositioning: Performance Evaluation and Deployment." Sustainability 15, no. 1 (January 3, 2023): 881. http://dx.doi.org/10.3390/su15010881.
Full textZhu, Lei, Jinghui Wang, Venu Garikapati, and Stanley Young. "Decision Support Tool for Planning Neighborhood-Scale Deployment of Low-Speed Shared Automated Shuttles." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 9 (July 23, 2020): 1–14. http://dx.doi.org/10.1177/0361198120925273.
Full textTabattanon, Kamolnat, Patrik T. Schuler, and Clive D’Souza. "Investigating Inclusive Design of Shared Automated Vehicles with Full-Scale Modeling." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 965–69. http://dx.doi.org/10.1177/1071181320641232.
Full textDissertations / Theses on the topic "Shared Automated Vehicles"
Jaroudi, Ines. "Mobility externalities and sustainable urban development : the case of Shared Automated Vehicles." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST031.
Full textCities are central hubs of activity, but their growing populations amplify concerns regarding environmental sustainability, resource management, and equitable access to mobility. To address these challenges, there needs to be a paradigm shift in urban transportation.Emerging innovations in smart mobility, specifically electric Shared Automated Vehicles (SAV), offer a promising solution to redefine urban mobility frameworks. These vehicles provide the potential to change the current transportation paradigm by offering environmentally friendly and accessible alternatives. However, their successful integration into urban settings requires a comprehensive understanding of deployment strategies and their subsequent impacts. This thesis aims to delve into the complexities surrounding the deployment of SAV, investigating their potential implications for Sustainable Urban Development in European cities.It focuses on deployment strategies and integration into transportation systems. Using scenario planning literature reviews and externalities calculations, it assesses potential strategies, emphasising integration's crucial role in positive impacts across urban contexts. The analysis highlights how Automated minibuses (AM) within a Mobility-as-a-Service (MaaS) and an Intelligent Transportation System (ITS) could support public transport and provide a solution for urban mobility challenges in cities while simultaneously fostering Sustainable Urban Development. Policy recommendations highlight infrastructure adaptation, stakeholder engagement, and promotion of intermodal transport, emphasizing SAV's integration for reducing external costs and fostering sustainable transportation practices in cities
Merat, Natasha, Tyron Louw, Ruth Madigan, Marc Wilbrink, and Anna Schieben. "What externally presented information do VRUs require when interacting with fully Automated Road Transport Systems in shared space?" Elsevier, 2018. https://publish.fid-move.qucosa.de/id/qucosa%3A72265.
Full textFlodin, Caroline. "Sjöräddning och obemannade autonoma farkoster, hur är det med uppgifterna? : En fallstudie om riktlinjer för datahantering i sjöräddning med obemannade autonoma farkoster." Thesis, Linköpings universitet, Informationssystem och digitalisering, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177792.
Full textMaritime rescue in Sweden is performed through a cooperation between government agencies, municipalities and non-governmental organisations (NGOs) with the common goal of saving people in distress. Time is often a critical factor in the rescue missions but a fast and unplanned response may at the same time put the rescue workers in danger. The development of unmanned autonomous vehicles for SAR is seen as a solution to the need of being able to quickly sendhelp as well as get eyes on the scene of the incident without exposing the rescue workers for unnecessary risks. However, the current communications systems in Swedish maritime rescue are unable to handle any other type of information except verbal, meaning that rescue workers only know guidelines for handling verbal information. However, with a future implementation of autonomous vehicles, there will be a need to handle more information types in maritime rescue whereas the uncertainty regarding what kind of information autonomous vehicles collect and which data management requirements exist is problematic. The uncertainty about the information types and their data management requirements is also problematic for the development and implementation of autonomous vehicles as there is a risk that vehicles and technologies are developed but not allowed to be used because they are not adapted to the legal requirements on management of the different types of data. Therefore, in this study I examine what information types that autonomous vehicles can collect in a maritime rescue to find out what guidelines for data management that applies during a maritime rescue with autonomous vehicles. The study also examines what kind of information’s are critical for a SAR maritime rescue cooperation as well as what information sharing challenges exist in current maritime rescue. The study was performed as a qualitative case study and has used a socio-technical systems perspective so as to better see the overall picture and answer the research questions. The result shows that autonomous vehicles can collect information about their surroundings, which is the foundation for establishing situation awareness that is critical for SAR-operations, and that they can collect information about their own status. The main laws and regulations that have been identified as constituting the main restrictions are (translated from Swedish) the law of camera surveillance, the law for protection of geographical information, the public access to information and secrecy act, the GDPR and the data protection act. These contains guidelines for sharing information and the processing of personal data in SAR maritime rescue. The knowledge contributions of this study includes among others the identification of datatypes that can be collected by autonomous vehicles in SAR maritime rescue, and probably other types of rescue operations, and the sharing and management requirements on those datatypes in rescue operations and thus knowledge of what datatypes that are the most restricted. Further knowledge contributions is knowledge about which information types that are the most critical for SAR maritime rescue and thus should be prioritised for collection and sharing as well as the identification of challenges for information sharing between government agencies and NGOs.
Guo, Chunshi. "Conception des principes de coopération conducteur-véhicule pour les systèmes de conduite automatisée." Thesis, Valenciennes, 2017. http://www.theses.fr/2017VALE0020/document.
Full textGiven rapid advancement of automated driving (AD) technologies in recent years, major car makers promise the commercialization of AD vehicles within one decade from now. However, how the automation should interact with human drivers remains an open question. The objective of this thesis is to design, develop and evaluate interaction principles for AD systems that can cooperate with a human driver. Considering the complexity of such a human-machine system, this thesis begins with proposing two general cooperation principles and a hierarchical cooperative control architecture to lay a common basis for interaction and system design in the defined use cases. Since the proposed principles address a dynamic driving environment involving manually driven vehicles, the AD vehicle needs to understand it and to share its situational awareness with the driver for efficient cooperation. This thesis first proposes a representation formalism of the driving scene in the Frenet frame to facilitate the creation of the spatial awareness of the AD system. An adaptive vehicle longitudinal trajectory prediction method is also presented. Based on maneuver detection and jerk estimation, this method yields better prediction accuracy than the method based on constant acceleration assumption. As case studies, this thesis implements two cooperation principles for two use cases respectively. In the first use case of highway merging management, this thesis proposes a cooperative longitudinal control framework featuring an ad-hoc maneuver planning function and a model predictive control (MPC) based trajectory generation for transient maneuvers. This framework can automatically handle a merging vehicle, and at the mean time it offers the driver a possibility to change the intention of the system. In another use case concerning highway lane positioning and lane changing, a shared steering control problem is formulated in MPC framework. By adapting the weight on the stage cost and implementing dynamic constraints online, the MPC ensures seamless control transfer between the system and the driver while conveying potential hazards through haptic feedback. Both of the designed systems are evaluated through user tests on driving simulator. Finally, human factors issue and user’s perception on these new interaction paradigms are discussed
Books on the topic "Shared Automated Vehicles"
Khan, Ata M., and Susan A. Shaheen, eds. Shared Mobility and Automated Vehicles: Responding to socio-technical changes and pandemics. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/pbtr020e.
Full textSperling, Daniel. Three revolutions: Steering automated, shared, and electric vehicles to a better future. 2018.
Find full textKhan, Ata M., and Susan Alison Shaheen. Shared Mobility and Automated Vehicles: Responding to Socio-Technical Changes and Pandemics. Institution of Engineering & Technology, 2022.
Find full textKhan, Ata M., and Susan Alison Shaheen. Shared Mobility and Automated Vehicles: Responding to Socio-Technical Changes and Pandemics. Institution of Engineering & Technology, 2021.
Find full textBook chapters on the topic "Shared Automated Vehicles"
Liu, Rongfang, Daniel J. Fagnant, and Wei-Bin Zhang. "Beyond Single Occupancy Vehicles: Automated Transit and Shared Mobility." In Road Vehicle Automation 3, 259–75. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40503-2_21.
Full textKortum, Katherine. "Preparing for Automated Vehicles and Shared Mobility: The Existential Questions." In Road Vehicle Automation 7, 135–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52840-9_13.
Full textStetter, Ralf. "Extension to Automated Processes with Flexible Redundant and Shared Elements." In Fault-Tolerant Design and Control of Automated Vehicles and Processes, 177–98. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12846-3_8.
Full textHub, Fabian, Marc Wilbrink, Carmen Kettwich, and Michael Oehl. "Designing Ride Access Points for Shared Automated Vehicles - An Early Stage Prototype Evaluation." In Communications in Computer and Information Science, 560–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60703-6_72.
Full textMartin, Robert, Emilia M. Bruck, and Aggelos Soteropoulos. "Transformations of European public spaces with AVs." In AVENUE21. Planning and Policy Considerations for an Age of Automated Mobility, 157–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-67004-0_9.
Full textMartin, Robert, Emilia M. Bruck, and Aggelos Soteropoulos. "Transformations of European Public Spaces with AVs." In AVENUE21. Politische und planerische Aspekte der automatisierten Mobilität, 159–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-63354-0_9.
Full textLazarus, Jessica, Susan Shaheen, Stanley E. Young, Daniel Fagnant, Tom Voege, Will Baumgardner, James Fishelson, and J. Sam Lott. "Shared Automated Mobility and Public Transport." In Road Vehicle Automation 4, 141–61. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60934-8_13.
Full textStocker, Adam, and Susan Shaheen. "Shared Automated Mobility: Early Exploration and Potential Impacts." In Road Vehicle Automation 4, 125–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60934-8_12.
Full textStocker, Adam, and Susan Shaheen. "Shared Automated Vehicle (SAV) Pilots and Automated Vehicle Policy in the U.S.: Current and Future Developments." In Lecture Notes in Mobility, 131–47. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94896-6_12.
Full textPerret, Fabienne, and Christof Abegg. "How are automated vehicles driving spatial development in Switzerland?" In AVENUE21. Planning and Policy Considerations for an Age of Automated Mobility, 349–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-67004-0_17.
Full textConference papers on the topic "Shared Automated Vehicles"
Patel, Ronik Ketankumar, Roya Etminani-Ghasrodashti, Sharareh Kermanshachi, Jay Michael Rosenberger, and Ann Foss. "How Riders Use Shared Autonomous Vehicles." In 18th International Conference on Automated People Movers and Automated Transit Systems. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484388.008.
Full textKim, Yeojun, Luca Onesto, Samuel Tay, Lujie Yang, Jacopo Guanetti, Sergio Savaresi, and Francesco Borrelli. "Shared Perception for Connected and Automated Vehicles." In 2020 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2020. http://dx.doi.org/10.1109/iv47402.2020.9304842.
Full textKim, Yeojun, Luca Onesto, Samuel Tay, Lujie Yang, Jacopo Guanetti, Sergio Savaresi, and Francesco Borrelli. "Shared Perception for Connected and Automated Vehicles." In 2020 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2020. http://dx.doi.org/10.1109/iv47402.2020.9304842.
Full textJudalet, Vincent, Sebastien Glaser, and Benoit Lusetti. "Incentive shared trajectory control for highly-automated driving." In 2013 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2013. http://dx.doi.org/10.1109/ivs.2013.6629611.
Full textLi, Li, DianChao Lin, Theodoros Pantelidis, Joseph Chow, and Saif Eddin Jabari. "An Agent-based Simulation for Shared Automated Electric Vehicles with Vehicle Relocation*." In 2019 IEEE Intelligent Transportation Systems Conference - ITSC. IEEE, 2019. http://dx.doi.org/10.1109/itsc.2019.8917253.
Full textMartelaro, Nikolas, Debargha Dey, Gary Burnett, Helena K. Strömberg, Jonas Andersson, and Andreas Löcken. "How to Manage Social Order in Shared Automated Vehicles." In AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3544999.3550154.
Full textPatel, Ronik Ketankumar, Roya Etminani-Ghasrodashti, Sharareh Kermanshachi, Jay Michael Rosenberger, and Ann Foss. "Impacts of Shared Autonomous Vehicles (SAVs) on Individuals’ Travel Behavior: Evidence from a Pilot Project." In 18th International Conference on Automated People Movers and Automated Transit Systems. Reston, VA: American Society of Civil Engineers, 2022. http://dx.doi.org/10.1061/9780784484388.007.
Full textXing, Yang, Chao Huang, and Chen Lv. "Driver-Automation Collaboration for Automated Vehicles: A Review of Human-Centered Shared Control." In 2020 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2020. http://dx.doi.org/10.1109/iv47402.2020.9304755.
Full textXing, Yang, Chao Huang, and Chen Lv. "Driver-Automation Collaboration for Automated Vehicles: A Review of Human-Centered Shared Control." In 2020 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2020. http://dx.doi.org/10.1109/iv47402.2020.9304755.
Full textNarri, Vandana, Amr Alanwar, Jonas Martensson, Christoffer Noren, Laura Dal Col, and Karl Henrik Johansson. "Set-Membership Estimation in Shared Situational Awareness for Automated Vehicles in Occluded Scenarios." In 2021 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2021. http://dx.doi.org/10.1109/iv48863.2021.9575828.
Full textReports on the topic "Shared Automated Vehicles"
Shaheen, Susan, Elliot Shaheen, Adam Cohen, Jacquelyn Broader, and Richard Davis. Managing the Curb: Understanding the Impacts of On-Demand Mobility on Public Transit, Micromobility, and Pedestrians. Mineta Transportation Institute, July 2022. http://dx.doi.org/10.31979/mti.2022.1904.
Full textLarkin, Lance, Thomas Carlson, William D’Andrea, Andrew Johnson, and Natalie Myers. Network development and autonomous vehicles : a smart transportation testbed at Fort Carson : project report summary and recommendations. Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/45941.
Full textEastman, Brittany. Legal Issues Facing Automated Vehicles, Facial Recognition, and Privacy Rights. SAE International, July 2022. http://dx.doi.org/10.4271/epr2022016.
Full textBarth, Matthew, Peng Hao, Guoyuan Wu, Shams Tanvir, Chao Wang, Jeff Gonder, Jacob Holden, Andrew Devall, and Bingrong Sun. Evaluating Energy Efficiency Opportunities from Connected and Automated Vehicle Deployments Coupled with Shared Mobility in California. Office of Scientific and Technical Information (OSTI), June 2020. http://dx.doi.org/10.2172/1686114.
Full textYan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, May 2021. http://dx.doi.org/10.17760/d20410114.
Full textHsueh, Gary, David Czerwinski, Cristian Poliziani, Terris Becker, Alexandre Hughes, Peter Chen, and Melissa Benn. Using BEAM Software to Simulate the Introduction of On-Demand, Automated, and Electric Shuttles for Last Mile Connectivity in Santa Clara County. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1822.
Full textAllen, Luke, Joon Lim, Robert Haehnel, and Ian Detwiller. Rotor blade design framework for airfoil shape optimization with performance considerations. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41037.
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