By leveraging advanced technologies, Autonomous Vehicles (AVs) hold the potential to increase transportation safety and efficiency. This collection showcases USDOT-funded research and data concerning AVs. Bookmark this collection: https://rosap.ntl.bts.gov/collection_avs OR https://doi.org/10.21949/1x81-qs91.
To establish a framework for considering these wraparound AV impacts in New York City, the NYU Rudin Center for Transportation Policy and Management led a multi-stakeholder initiative in conjunction with NYU’s C2SMART, USDOT University Transportation Center. The team hosted three workshops in December 2021 addressing issues and opportunities in sev
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Supporting Files
Kaufman, S. M., Chow, J. Y. J., Liu, B., Yamron, A., & Geck, M. (2022). Autonomous Vehicle Good Citizenry Standard. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART). https://rosap.ntl.bts.gov/view/dot/67860
Kaufman, Sarah M., Joseph Y. J. Chow, BingQing Liu, Alexander Yamron, and Michelle Geck. Autonomous Vehicle Good Citizenry Standard. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2022. https://rosap.ntl.bts.gov/view/dot/67860.
Kaufman, Sarah M., et al. Autonomous Vehicle Good Citizenry Standard. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/67860.
This project seeks to examine how transit work will transform as autonomous vehicle (AV) technology is applied to the complex operating environment of public transit. While there is a legacy of autonomous transport in controlled settings such as airport “people movers,” recent technological advancements target both constrained busways and unconstra
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Fox, S., Martelaro, N., Forlizzi, J., & Carrington, P. (2022). Designing the Future of Transit Work (Report No. Project ID #376). Mobility21, Carnegie Mellon University. https://rosap.ntl.bts.gov/view/dot/65536
Fox, Sarah, Nik Martelaro, Jodi Forlizzi, and Patrick Carrington. Designing the Future of Transit Work. Report no. Project ID #376. Mobility21, Carnegie Mellon University, 2022. https://rosap.ntl.bts.gov/view/dot/65536.
Fox, Sarah, et al. Designing the Future of Transit Work. Mobility21, Carnegie Mellon University, 2022, Report no. Project ID #376, ROSA P. https://rosap.ntl.bts.gov/view/dot/65536.
This report investigates and develops specifications for using blockchain and distributed organizations to enable decentralized delivery and finance of urban infrastructure. The project explores use cases, including: providing urban greening, street or transit infrastructure; services for street beautification, cleaning and weed or graffiti abateme
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Riggs, W., Vyas, V., & Sethi, M. (2022). Blockchain and Distributed Autonomous Community Ecosystems: Opportunities to Democratize Finance and Delivery of Transport, Housing, Urban Greening and Community Infrastructure (Report No. 22-34). San Jose State University. College of Business. Mineta Transportation Institute. https://rosap.ntl.bts.gov/view/dot/63155
Riggs, William, Vipul Vyas, and Menka Sethi. Blockchain and Distributed Autonomous Community Ecosystems: Opportunities to Democratize Finance and Delivery of Transport, Housing, Urban Greening and Community Infrastructure. Report no. 22-34. San Jose State University. College of Business. Mineta Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/63155.
Riggs, William, et al. Blockchain and Distributed Autonomous Community Ecosystems: Opportunities to Democratize Finance and Delivery of Transport, Housing, Urban Greening and Community Infrastructure. San Jose State University. College of Business. Mineta Transportation Institute, 2022, Report no. 22-34, ROSA P. https://rosap.ntl.bts.gov/view/dot/63155.
This project sought to develop a coordinated and consistent multi-state approach to the setting of policies, laws, and regulations within the New England region to support the seamless operation of ADS-equipped vehicles across the New England states.
Rodriguez, G., McGrane, A., Raque, E., Stoeltje, G., Hansen, T., & Lyons, W. (2022). Coordinating State Policies, Laws, and Regulations for Automated Driving Systems Across New England (Report No. NETCR120). New England Transportation Consortium. https://rosap.ntl.bts.gov/view/dot/75616
Rodriguez, Greg, Ann McGrane, Emily Raque, Gretchen Stoeltje, Todd Hansen, and William Lyons. Coordinating State Policies, Laws, and Regulations for Automated Driving Systems Across New England. Report no. NETCR120. New England Transportation Consortium, 2022. https://rosap.ntl.bts.gov/view/dot/75616.
Rodriguez, Greg, et al. Coordinating State Policies, Laws, and Regulations for Automated Driving Systems Across New England. New England Transportation Consortium, 2022, Report no. NETCR120, ROSA P. https://rosap.ntl.bts.gov/view/dot/75616.
The operational characteristics of freight shipments will significantly change after implementation of autonomous and connected trucks (ACTs). This change will have major impacts on mobility, safety, and infrastructure service life. Truck platooning is one of the truck arrangements that will soon become feasible with connected vehicle technology. I
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Elshazli, M., Ibrahim, A., & Abdel-Rahim, A. (2022). Impact of Autonomous and Connected Truck Platoons in the Pacific Northwest on Transportation Infrastructure (Report No. 2021-S-UI-2). Pacific Northwest Transportation Consortium (PacTrans) (UTC). https://rosap.ntl.bts.gov/view/dot/64114
Elshazli, Mohamed, Ahmed Ibrahim, and Ahmed Abdel-Rahim. Impact of Autonomous and Connected Truck Platoons in the Pacific Northwest on Transportation Infrastructure. Report no. 2021-S-UI-2. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2022. https://rosap.ntl.bts.gov/view/dot/64114.
Elshazli, Mohamed, et al. Impact of Autonomous and Connected Truck Platoons in the Pacific Northwest on Transportation Infrastructure. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2022, Report no. 2021-S-UI-2, ROSA P. https://rosap.ntl.bts.gov/view/dot/64114.
Report and Period Covered 14. Sponsoring Agency Code 15. Supplemental Notes 16. Abstract Connected and automated vehicles (CAVs) are expected to improve safety by gradually reducing human decisions while driving. However, there are still questions on their effectiveness as we transition from almost 0% CAVs to 100% CAVs with different levels of vehi
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Gajera, H., Pulugurtha, S. S., & Mathew, S. (2022). Influence of Level 1 and Level 2 Automated Vehicles on Fatal Crashes and Fatal Crash Occurrence (Report No. 22-22). San Jose State University. College of Business. Mineta Transportation Institute. https://rosap.ntl.bts.gov/view/dot/62760
Gajera, Hardik, Srinivas S. Pulugurtha, and Sonu Mathew. Influence of Level 1 and Level 2 Automated Vehicles on Fatal Crashes and Fatal Crash Occurrence. Report no. 22-22. San Jose State University. College of Business. Mineta Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/62760.
Gajera, Hardik, et al. Influence of Level 1 and Level 2 Automated Vehicles on Fatal Crashes and Fatal Crash Occurrence. San Jose State University. College of Business. Mineta Transportation Institute, 2022, Report no. 22-22, ROSA P. https://rosap.ntl.bts.gov/view/dot/62760.
The objective of this project is to examine the potential effects of high-level vehicle automation on energy demand and greenhouse gas (GHG) emissions from vehicles. To achieve this, improved projections of future travel demand and patterns of autonomous vehicles (AVs) were obtained using a stated preference survey distributed in Indianapolis, Indi
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Gkritza, K., Gkartzonikas, C., Losada-Rojas, L. L., & Zhang, Z. (2022). Behavioral Intention To Ride in AVs and Impacts on Mode Choice Decisions, Energy Use and GHG Emissions (Report No. CCAT Report #28). University of Michigan. Center for Connected and Automated Transportation. http://dx.doi.org/10.5703/1288284317569
Gkritza, Konstantina, Christos Gkartzonikas, Lisa Lorena Losada-Rojas, and Zimo Zhang. Behavioral Intention To Ride in AVs and Impacts on Mode Choice Decisions, Energy Use and GHG Emissions. Report no. CCAT Report #28. University of Michigan. Center for Connected and Automated Transportation, 2022. http://dx.doi.org/10.5703/1288284317569.
Gkritza, Konstantina, et al. Behavioral Intention To Ride in AVs and Impacts on Mode Choice Decisions, Energy Use and GHG Emissions. University of Michigan. Center for Connected and Automated Transportation, 2022, Report no. CCAT Report #28, ROSA P. http://dx.doi.org/10.5703/1288284317569.
Autonomous vehicles (AVs) could have both positive and negative impacts on public health. The most notable benefits relate to reduction in crashes and pollutant emissions. Conversely, AVs can limit opportunities for active travel and associated health benefits. If the adoption of the AV or shared AV technology is not adequately designed, it could l
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Gkritza, K., & Losada-Rojas, L. L. (2022). Ridesharing, Active Travel Behavior, and Personal Health: Implications for Shared Autonomous Vehicles (Report No. CCAT Report #37). University of Michigan. Center for Connected and Automated Transportation. https://rosap.ntl.bts.gov/view/dot/66760
Gkritza, Konstantina and Lisa Lorena Losada-Rojas. Ridesharing, Active Travel Behavior, and Personal Health: Implications for Shared Autonomous Vehicles. Report no. CCAT Report #37. University of Michigan. Center for Connected and Automated Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/66760.
Gkritza, Konstantina, and Lisa Lorena Losada-Rojas Ridesharing, Active Travel Behavior, and Personal Health: Implications for Shared Autonomous Vehicles. University of Michigan. Center for Connected and Automated Transportation, 2022, Report no. CCAT Report #37, ROSA P. https://rosap.ntl.bts.gov/view/dot/66760.
Motor vehicle crashes are one of the top ten causes of death in the United States. In 2019, more than 36,096 people lost their lives in road crashes. All drivers are at risk of being involved in a crash, regardless of whether they drive on familiar roads with the safest vehicles. According to Traffic Safety Facts published by the National Highway T
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Gajera, H., Pulugurtha, S. S., & Mathew, S. (2022). Influence of Level 1 and Level 2 Automated Vehicles on Fatal Crashes and Fatal Crash Occurrence [Summary] (Report No. 2034). San Jose State University. College of Business. Mineta Transportation Institute. https://rosap.ntl.bts.gov/view/dot/62761
Gajera, Hardik, Srinivas S. Pulugurtha, and Sonu Mathew. Influence of Level 1 and Level 2 Automated Vehicles on Fatal Crashes and Fatal Crash Occurrence [Summary]. Report no. 2034. San Jose State University. College of Business. Mineta Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/62761.
Gajera, Hardik, et al. Influence of Level 1 and Level 2 Automated Vehicles on Fatal Crashes and Fatal Crash Occurrence [Summary]. San Jose State University. College of Business. Mineta Transportation Institute, 2022, Report no. 2034, ROSA P. https://rosap.ntl.bts.gov/view/dot/62761.
Through its Emerging Mobility initiative, the National Park Service (NPS) implemented two electric, automated shuttle pilots at Yellowstone National Park and Wright Brothers National Memorial. “The Electric Driverless Demonstration in Yellowstone” (TEDDY) pilot operated from June to August 2021 with two Local Motors Olli shuttles operated by Beep,
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Cregger, J., Mahavier, K., Holub, A., Machek, E., Crayton, T., Patel, R., & Suder, S. (2022). Brothers National Memorial (Report No. DOT-VNTSC-NPS-22-03;YELL 101/180199;WRBR 361/180199). John A. Volpe National Transportation Systems Center (U.S.). https://rosap.ntl.bts.gov/view/dot/63612
Cregger, Joshua, Kendall Mahavier, Amalia Holub, Elizabeth Machek, Travis Crayton, Rahi Patel, and Steve Suder. Brothers National Memorial. Report no. DOT-VNTSC-NPS-22-03;YELL 101/180199;WRBR 361/180199. John A. Volpe National Transportation Systems Center (U.S.), 2022. https://rosap.ntl.bts.gov/view/dot/63612.
Cregger, Joshua, et al. Brothers National Memorial. John A. Volpe National Transportation Systems Center (U.S.), 2022, Report no. DOT-VNTSC-NPS-22-03;YELL 101/180199;WRBR 361/180199, ROSA P. https://rosap.ntl.bts.gov/view/dot/63612.
The study developed Human-Autonomous Vehicle Interaction Testbed (HAVIT), a VR-based platform that enables researchers and designers to quickly configure AV interaction scenarios and evaluate their design concepts during the design process in a holistic and consistent manner. The HAVIT presents an efficient workflow that combines the tasks of Scena
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Guo, X., Wan, D., Liu, D., Mousas, C., & Chen, Y. (2022). A Virtual Reality Framework to Measure Psychological and Physiological Responses of the Self-Driving Car Passengers (Report No. 38). University of Michigan. Center for Connected and Automated Transportation. http://dx.doi.org/10.5703/1288284317567
Guo, Xiaolei, Dayu Wan, Dongfang Liu, Christos Mousas, and Yingjie Chen. A Virtual Reality Framework to Measure Psychological and Physiological Responses of the Self-Driving Car Passengers. Report no. 38. University of Michigan. Center for Connected and Automated Transportation, 2022. http://dx.doi.org/10.5703/1288284317567.
Guo, Xiaolei, et al. A Virtual Reality Framework to Measure Psychological and Physiological Responses of the Self-Driving Car Passengers. University of Michigan. Center for Connected and Automated Transportation, 2022, Report no. 38, ROSA P. http://dx.doi.org/10.5703/1288284317567.
With greater vehicle automation, research on how the communication of capabilities and limitations of automated driving systems (ADSs) impacts safety needed. High profile crashes involving misuse of partial driving automation systems (L2) suggest that some drivers over-trust currently available L2 ADSs relative to their capabilities. This could wor
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Souders, D., Agrawal, S., & Peeta, S. (2022). Impacts of In-Vehicle Alert Systems on Situational Awareness and Driving Performance in SAE Level 3 Vehicle Automation (Report No. 30). University of Michigan. Center for Connected and Automated Transportation. https://rosap.ntl.bts.gov/view/dot/72926
Souders, Dustin, Shubham Agrawal, and Srinivas Peeta. Impacts of In-Vehicle Alert Systems on Situational Awareness and Driving Performance in SAE Level 3 Vehicle Automation. Report no. 30. University of Michigan. Center for Connected and Automated Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/72926.
Souders, Dustin, et al. Impacts of In-Vehicle Alert Systems on Situational Awareness and Driving Performance in SAE Level 3 Vehicle Automation. University of Michigan. Center for Connected and Automated Transportation, 2022, Report no. 30, ROSA P. https://rosap.ntl.bts.gov/view/dot/72926.
Increasing the level of autonomy in both small aircraft and autos has the potential to generate greater efficiency and utility in multimodal regional transportation systems. In previous research, the PI and collaborators developed a computational analysis framework to assess the impact of aircraft technology advancement in electric propulsion and a
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Delaurentis, D., Rathore, H., & Maheshwari, A. (2022). Enhanced Methodology for Exploring Autonomy-enabled Multi-mode Regional Transportation (Report No. 35). University of Michigan. Center for Connected and Automated Transportation. http://dx.doi.org/10.5703/1288284317566
Delaurentis, Daniel, Hetal Rathore, and Apoorv Maheshwari. Enhanced Methodology for Exploring Autonomy-enabled Multi-mode Regional Transportation. Report no. 35. University of Michigan. Center for Connected and Automated Transportation, 2022. http://dx.doi.org/10.5703/1288284317566.
Delaurentis, Daniel, et al. Enhanced Methodology for Exploring Autonomy-enabled Multi-mode Regional Transportation. University of Michigan. Center for Connected and Automated Transportation, 2022, Report no. 35, ROSA P. http://dx.doi.org/10.5703/1288284317566.
Transportation is experiencing disruptive forces in recent years. One key disruption is the development of autonomous vehicles (AVs) that will be capable of navigating roadways on their own without the need for human presence in the vehicle. In a utopian scenario, AVs may enter the transportation landscape and foster a more sustainable and livable
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Pendyala, R. M., Khoeini, S., & Batur, I. (2022). How Will Use of Autonomous Vehicles for Running Errands Affect Future Autonomous Vehicle Adoption and Ownership?. Center for Teaching Old Models New Tricks (TOMNET). https://rosap.ntl.bts.gov/view/dot/68214
Pendyala, Ram M., Sara Khoeini, and Irfan Batur. How Will Use of Autonomous Vehicles for Running Errands Affect Future Autonomous Vehicle Adoption and Ownership?. Center for Teaching Old Models New Tricks (TOMNET), 2022. https://rosap.ntl.bts.gov/view/dot/68214.
Pendyala, Ram M., et al. How Will Use of Autonomous Vehicles for Running Errands Affect Future Autonomous Vehicle Adoption and Ownership?. Center for Teaching Old Models New Tricks (TOMNET), 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/68214.
Connected and autonomous vehicles (CAVs) will generate a revolution in the transportation system, with great potential to improve traffic safety, efficiency, and environmental sustainability. However, the transition to CAVs will occur over time and, during it, CAVs will coexist with human-driven vehicles (HDVs) in the traffic flow. While several st
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Wang, C., Wang, Y., & Peeta, S. (2022). Development of Dynamic Network Traffic Simulator for Mixed Traffic Flow Under Connected and Autonomous Vehicle Technologies (Report No. CCAT Report #22). University of Michigan. Center for Connected and Automated Transportation. https://rosap.ntl.bts.gov/view/dot/72911
Wang, Chaojie, Yu Wang, and Srinivas Peeta. Development of Dynamic Network Traffic Simulator for Mixed Traffic Flow Under Connected and Autonomous Vehicle Technologies. Report no. CCAT Report #22. University of Michigan. Center for Connected and Automated Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/72911.
Wang, Chaojie, et al. Development of Dynamic Network Traffic Simulator for Mixed Traffic Flow Under Connected and Autonomous Vehicle Technologies. University of Michigan. Center for Connected and Automated Transportation, 2022, Report no. CCAT Report #22, ROSA P. https://rosap.ntl.bts.gov/view/dot/72911.
Shared transportation has grown significantly as renewed interest in urbanism and growing social and economic concerns have strengthened the need for sustainable alternatives. Shared autonomous vehicles (SAVs) are emerging as an alternative mode of transportation that could improve mobility and accessibility. However, the implications of SAVs on so
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Gkritza, K., Gkartzonikas, C., Losada-Rojas, L. L., & Candanedo, R. E. (2022). Public Acceptance and Socio-Economic Analysis of Shared Autonomous Vehicles: Implications for Policy and Planning (Report No. CCAT Report #32). University of Michigan. Center for Connected and Automated Transportation. http://dx.doi.org/10.5703/1288284317568
Gkritza, Konstantina, Christos Gkartzonikas, Lisa Lorena Losada-Rojas, and Raul Elizondo Candanedo. Public Acceptance and Socio-Economic Analysis of Shared Autonomous Vehicles: Implications for Policy and Planning. Report no. CCAT Report #32. University of Michigan. Center for Connected and Automated Transportation, 2022. http://dx.doi.org/10.5703/1288284317568.
Gkritza, Konstantina, et al. Public Acceptance and Socio-Economic Analysis of Shared Autonomous Vehicles: Implications for Policy and Planning. University of Michigan. Center for Connected and Automated Transportation, 2022, Report no. CCAT Report #32, ROSA P. http://dx.doi.org/10.5703/1288284317568.
Autonomous vehicles (AVs) prospectively offer enhanced safety and mobility for travelers and increased efficiency of transportation system operations. AVs are likely to have significant impacts on the forms and functions of the built environment. In addition, the increasing urban air pollution, energy consumption, and climate change foster the need
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Guo, Y., Souders, D., Labi, S., Peeta, S., & Benedyk, I. (2022). Design of Urban Landscape and Road Networks to Accommodate CAVs (Report No. 26). University of Michigan. Center for Connected and Automated Transportation. https://rosap.ntl.bts.gov/view/dot/66720
Guo, Yuntao, Dustin Souders, Samuel Labi, Srinivas Peeta, and Irina Benedyk. Design of Urban Landscape and Road Networks to Accommodate CAVs. Report no. 26. University of Michigan. Center for Connected and Automated Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/66720.
Guo, Yuntao, et al. Design of Urban Landscape and Road Networks to Accommodate CAVs. University of Michigan. Center for Connected and Automated Transportation, 2022, Report no. 26, ROSA P. https://rosap.ntl.bts.gov/view/dot/66720.
Little is known about how driving performance and attention change over time with increased automation. The current study assessed the effect of varying levels of vehicle automation on driver performance over time. Participants gained experience with advanced driver assistance systems (ADAS) across four sessions in the driving simulator. The specif
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Weaver, S., Chao, S. F., & Philips, B. H. (2022). Driver Adaptation to Vehicle Automation: The Effect of Driver Assistance Systems on Driving Performance and System Monitoring (Report No. FHWA-HRT-22-072). United States. Federal Highway Administration. Office of Safety Research and Development. https://rosap.ntl.bts.gov/view/dot/62627
Weaver, Starla, Szu-Fu Chao, and Brian H. Philips. Driver Adaptation to Vehicle Automation: The Effect of Driver Assistance Systems on Driving Performance and System Monitoring. Report no. FHWA-HRT-22-072. United States. Federal Highway Administration. Office of Safety Research and Development, 2022. https://rosap.ntl.bts.gov/view/dot/62627.
Weaver, Starla, et al. Driver Adaptation to Vehicle Automation: The Effect of Driver Assistance Systems on Driving Performance and System Monitoring. United States. Federal Highway Administration. Office of Safety Research and Development, 2022, Report no. FHWA-HRT-22-072, ROSA P. https://rosap.ntl.bts.gov/view/dot/62627.
The research described in this report was motivated by frequent questions from users of several crosswalks near a university campus. At each crosswalk was a sign indicating that motorists should yield to pedestrians in the crosswalk. The notion that this message was not being interpreted uniformly was a concern at locations where heterogeneous road
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Zhang, Y., & Fricker, J. D. (2022). Pedestrian-Vehicle Interaction in a CAV Environment: Explanatory Metrics (Report No. CCAT Report #61). University of Michigan. Center for Connected and Automated Transportation. http://dx.doi.org/10.5703/1288284317575
Zhang, Yunchang and Jon D. Fricker. Pedestrian-Vehicle Interaction in a CAV Environment: Explanatory Metrics. Report no. CCAT Report #61. University of Michigan. Center for Connected and Automated Transportation, 2022. http://dx.doi.org/10.5703/1288284317575.
Zhang, Yunchang, and Jon D. Fricker Pedestrian-Vehicle Interaction in a CAV Environment: Explanatory Metrics. University of Michigan. Center for Connected and Automated Transportation, 2022, Report no. CCAT Report #61, ROSA P. http://dx.doi.org/10.5703/1288284317575.
Autonomous vehicles (AVs) are an emerging theme for future transportation. However, research on pedestrian-AV interaction, which promotes pedestrian safety during autonomous driving, is not a well-explored domain. One challenge preventing the development of pedestrian-AV interaction research is that there is no publicly available and standardized b
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Dong, J., Du, R., Ha, P. (. J., Chen, S., & Labi, S. (2022). Development of AI-Based and Control-Based Systems for Safe and Efficient Operations of Connected and Autonomous Vehicles (Report No. 41). University of Michigan. Center for Connected and Automated Transportation. http://dx.doi.org/10.5703/1288284317571
Dong, Jiqian, Runjia Du, Paul (Young Joun) Ha, Sikai Chen, and Samuel Labi. Development of AI-Based and Control-Based Systems for Safe and Efficient Operations of Connected and Autonomous Vehicles. Report no. 41. University of Michigan. Center for Connected and Automated Transportation, 2022. http://dx.doi.org/10.5703/1288284317571.
Dong, Jiqian, et al. Development of AI-Based and Control-Based Systems for Safe and Efficient Operations of Connected and Autonomous Vehicles. University of Michigan. Center for Connected and Automated Transportation, 2022, Report no. 41, ROSA P. http://dx.doi.org/10.5703/1288284317571.
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