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.
Vehicle manufacturers are introducing increasingly sophisticated vehicle automation systems to improve driving efficiency, comfort, and safety. Despite these improvements, partially and fully automated vehicles introduce new safety risks to the driving environment. Driver inattention can contribute to increased risk, especially when control transfe
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Paras, C. R., & Ferris, T. K. (2023). Countermeasures To Detect and Combat Inattention While Driving Partially Automated Systems (Report No. 01-002). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/73308
Paras, Carolina Rodriguez and Thomas K. Ferris. Countermeasures To Detect and Combat Inattention While Driving Partially Automated Systems. Report no. 01-002. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2023. https://rosap.ntl.bts.gov/view/dot/73308.
Paras, Carolina Rodriguez, and Thomas K. Ferris Countermeasures To Detect and Combat Inattention While Driving Partially Automated Systems. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2023, Report no. 01-002, ROSA P. https://rosap.ntl.bts.gov/view/dot/73308.
The global electric vehicle (EV) market is forecasted to grow by 24.3% till 2028 constantly. However, the development in charging infrastructure is still lagging behind that, hindering the EV's widespread application, i.e., 30 million chargers are still needed to support the existing EV demand. Also, based on the survey by Witricity, 86% of EV owne
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Abdulhamed, B., Alavizadeh, H., Ricketts, T., Schneider, B., Attariani, H., Wang, W., & Saville, M. (2023). STAR In-Road Electric Vehicle Charging for Parked Vehicles [Fact Sheet] (Report No. Project 118511). Ohio. Department of Transportation. Office of Statewide Planning and Research. https://rosap.ntl.bts.gov/view/dot/73213
Abdulhamed, Bilal, Hootan Alavizadeh, Tyler Ricketts, Brandon Schneider, Hamed Attariani, Weisong Wang, and Mike Saville. STAR In-Road Electric Vehicle Charging for Parked Vehicles [Fact Sheet]. Report no. Project 118511. Ohio. Department of Transportation. Office of Statewide Planning and Research, 2023. https://rosap.ntl.bts.gov/view/dot/73213.
Abdulhamed, Bilal, et al. STAR In-Road Electric Vehicle Charging for Parked Vehicles [Fact Sheet]. Ohio. Department of Transportation. Office of Statewide Planning and Research, 2023, Report no. Project 118511, ROSA P. https://rosap.ntl.bts.gov/view/dot/73213.
This research aims to develop human data-driven automated lane-change models for freeway weaving sections using computational methods that assist drivers taking an exit ramp or entering a freeway. A naturalistic driving dataset with 108 adult drivers served as the data source to observed drivers’ lane change maneuvers over 53 freeway weaving sectio
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Lin, B. T. W. (2023). Development of Machine-Learning Models for Autonomous Vehicle Decisions on Weaving Sections of Freeway Ramps (Report No. UMTRI-2023-22). University of Michigan. Center for Connected and Automated Transportation. https://dx.doi.org/10.7302/8688
Lin, Brian T W. Development of Machine-Learning Models for Autonomous Vehicle Decisions on Weaving Sections of Freeway Ramps. Report no. UMTRI-2023-22. University of Michigan. Center for Connected and Automated Transportation, 2023. https://dx.doi.org/10.7302/8688.
Lin, Brian T W Development of Machine-Learning Models for Autonomous Vehicle Decisions on Weaving Sections of Freeway Ramps. University of Michigan. Center for Connected and Automated Transportation, 2023, Report no. UMTRI-2023-22, ROSA P. https://dx.doi.org/10.7302/8688.
As of 2021, there were 18,696 small towns in the US with a population of less than 50,000. These communities typically have a low population density, few public transport services, and limited accessibility to daily services. This can pose significant challenges for residents trying to fulfill essential travel needs and access healthcare. Autonomou
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Li, W., Ye, X., Li, X., Dadashova, B., Ory, M. G., Lee, C., Rathinam, S., Usman, M., Chen, A., Bian, J., Li, S., & Du, J. (2023). Autonomous Vehicles for Small Towns: Exploring Perception, Accessibility, and Safety (Report No. 05-109). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/73305
Li, Wei, Xinyue Ye, Xiao Li, Bahar Dadashova, Marcia G Ory, Chanam Lee, and Sivakumar Rathinam, et al.. Autonomous Vehicles for Small Towns: Exploring Perception, Accessibility, and Safety. Report no. 05-109. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2023. https://rosap.ntl.bts.gov/view/dot/73305.
Li, Wei, et al. Autonomous Vehicles for Small Towns: Exploring Perception, Accessibility, and Safety. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2023, Report no. 05-109, ROSA P. https://rosap.ntl.bts.gov/view/dot/73305.
At the current time, road agencies and city authorities are considering various stimuli (legislations, policies, programs, and infrastructure investment projects) to support or facilitate electric, connected, and/or automation vehicle (ECAV) transportation. A candid and comprehensive assessment of such stimuli is possible only after due considerati
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Labi, R. N., Smith, J., Sabu, J., & Labi, S. (2023). Changes in Highway Expenditures and Revenues in an Era of CAVs, Volume B: Road-User Costs (Report No. CCAT Report No. 33B). Center for Connected and Automated Transportation. Purdue University. http://dx.doi.org/10.5703/1288284317737
Labi, Rachel N, Jalen Smith, Jelin Sabu, and Samuel Labi. Changes in Highway Expenditures and Revenues in an Era of CAVs, Volume B: Road-User Costs. Report no. CCAT Report No. 33B. Center for Connected and Automated Transportation. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317737.
Labi, Rachel N, et al. Changes in Highway Expenditures and Revenues in an Era of CAVs, Volume B: Road-User Costs. Center for Connected and Automated Transportation. Purdue University, 2023, Report no. CCAT Report No. 33B, ROSA P. http://dx.doi.org/10.5703/1288284317737.
Over the past century, landmark advancements in vehicle technology have motivated road agencies to carry out changes in their road infrastructure design and management processes to accommodate these advancements. The advent of Autonomous Vehicles (AVs), however, poses infrastructure challenges that could be more profound compared to those faced in
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Labi, S., Saeed, T., Pourgholamali, M., Saka, Z. A., & Sinha, K. C. (2023). Design and Management of Highway Infrastructure to Accommodate CAVs (Report No. Report No. 29). Center for Connected and Automated Transportation. Purdue University. https://rosap.ntl.bts.gov/view/dot/73995
Labi, Samuel, Tariq Saeed, Mohammadhosein Pourgholamali, Zainab A Saka, and Kumares C. Sinha. Design and Management of Highway Infrastructure to Accommodate CAVs. Report no. Report No. 29. Center for Connected and Automated Transportation. Purdue University, 2023. https://rosap.ntl.bts.gov/view/dot/73995.
Labi, Samuel, et al. Design and Management of Highway Infrastructure to Accommodate CAVs. Center for Connected and Automated Transportation. Purdue University, 2023, Report no. Report No. 29, ROSA P. https://rosap.ntl.bts.gov/view/dot/73995.
This report documents the work conducted as a multi-disciplinary project on the wireless charging of parked Electrical Vehicles (EVs) by Wright State University and supported by the Ohio Department of Transportation (ODOT). This document summarizes our progress on a wide variety of topics, including 1) in-house software to read and label the open-s
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Abdulhamed, B., Alavizadeh, H., Ricketts, T., Schneider, B., Attariani, H., Wang, W., & Saville, M. (2023). STAR In-Road Electric Vehicle Charging for Parked Vehicles (Report No. FHWA/OH-2023-28). Ohio. Department of Transportation. Office of Statewide Planning and Research. https://rosap.ntl.bts.gov/view/dot/73212
Abdulhamed, Bilal, Hootan Alavizadeh, Tyler Ricketts, Brandon Schneider, Hamed Attariani, Weisong Wang, and Mike Saville. STAR In-Road Electric Vehicle Charging for Parked Vehicles. Report no. FHWA/OH-2023-28. Ohio. Department of Transportation. Office of Statewide Planning and Research, 2023. https://rosap.ntl.bts.gov/view/dot/73212.
Abdulhamed, Bilal, et al. STAR In-Road Electric Vehicle Charging for Parked Vehicles. Ohio. Department of Transportation. Office of Statewide Planning and Research, 2023, Report no. FHWA/OH-2023-28, ROSA P. https://rosap.ntl.bts.gov/view/dot/73212.
The connected and automated vehicle (CAV) technologies will bring unprecedented changes in the landscape of transportation systems for areas like operations, management, and infrastructure needs. To assure a safe, reliable, and trustworthy connected and automated transportation system, it is important to have a clear CAV implementation pathway that
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Aziz, H. A., & Islam, A. H. (2023). Connected and Automated Future of Transportation for Kansas [Technical Summary] (Report No. K-TRAN: KSU-21-5). Arkansas. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/70445
Aziz, H.M. Abdul and A.M. Hasibul Islam. Connected and Automated Future of Transportation for Kansas [Technical Summary]. Report no. K-TRAN: KSU-21-5. Arkansas. Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/70445.
Aziz, H.M. Abdul, and A.M. Hasibul Islam Connected and Automated Future of Transportation for Kansas [Technical Summary]. Arkansas. Department of Transportation, 2023, Report no. K-TRAN: KSU-21-5, ROSA P. https://rosap.ntl.bts.gov/view/dot/70445.
Connected Vehicle (CV) communication technology (i.e., Vehicle-to-Everything, V2X) enables vehicles to "talk" to other vehicles on the road (Vehicle-to-Vehicle, V2V), roadside infrastructure (Vehicle-to-Infrastructure, V2I), vulnerable road users (Vehicle-to-Pedestrian, V2P), and the "cloud" (vehicle-to-network, V2N). The V2X connectivity will prov
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The ongoing integration of autonomous vehicles (AVs) into our urban environments represents a fundamental shift in the way cities function and how pedestrians navigate them. Historically, pedestrians have relied on non-verbal cues to interact with human drivers. However, with the rise of AVs, this traditional method of communication is undergoing a
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Lownes, N., Rezwana, S., Shaon, M. R. R., & Jackson, E. (2023). Pedestrian Behavior and Interaction with Autonomous Vehicles (Phase II). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/72371
Lownes, Nicholas, Saki Rezwana, Mohammad Razaur Rahman Shaon, and Eric Jackson. Pedestrian Behavior and Interaction with Autonomous Vehicles (Phase II). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2023. https://rosap.ntl.bts.gov/view/dot/72371.
Lownes, Nicholas, et al. Pedestrian Behavior and Interaction with Autonomous Vehicles (Phase II). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2023, ROSA P. https://rosap.ntl.bts.gov/view/dot/72371.
The connected and automated vehicle (CAV) technologies will bring unprecedented changes in the landscape of transportation systems for areas like operations, management, and infrastructure needs. To assure a safe, reliable, and trustworthy connected and automated transportation system, it is important to have a clear CAV implementation pathway that
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Aziz, H. A., & Islam, A. H. (2023). Connected and Automated Future of Transportation for Kansas (Report No. K-TRAN: KSU-21-5). Kansas. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/70414
Aziz, H.M. Abdul and A.M. Hasibul Islam. Connected and Automated Future of Transportation for Kansas. Report no. K-TRAN: KSU-21-5. Kansas. Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/70414.
Aziz, H.M. Abdul, and A.M. Hasibul Islam Connected and Automated Future of Transportation for Kansas. Kansas. Department of Transportation, 2023, Report no. K-TRAN: KSU-21-5, ROSA P. https://rosap.ntl.bts.gov/view/dot/70414.
Taking advantage of the rapid development of vehicle control and communication technologies, many studies have suggested that operating vehicles in platoons in the future would help improve the safety and efficiency of the transportation system. Although vehicles in a platoon can share data from V2/V communication, a platoon model built on proper c
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Yi, P., & Alqubaysi, T. (2023). Impact Analysis of Roadway Surface and Vehicle Conditions on Fleet Formation for Connected and Automated Vehicles (Report No. UA-CETran-2023-03). Center for Connected and Automated Transportation. Purdue University. https://rosap.ntl.bts.gov/view/dot/73989
Yi, Ping and Tariq Alqubaysi. Impact Analysis of Roadway Surface and Vehicle Conditions on Fleet Formation for Connected and Automated Vehicles. Report no. UA-CETran-2023-03. Center for Connected and Automated Transportation. Purdue University, 2023. https://rosap.ntl.bts.gov/view/dot/73989.
Yi, Ping, and Tariq Alqubaysi Impact Analysis of Roadway Surface and Vehicle Conditions on Fleet Formation for Connected and Automated Vehicles. Center for Connected and Automated Transportation. Purdue University, 2023, Report no. UA-CETran-2023-03, ROSA P. https://rosap.ntl.bts.gov/view/dot/73989.
This study introduces a unified end-to-end framework for analyzing network traffic equilibrium. The framework learns supply and demand components directly from traffic data, using computational graphs to parameterize unknown elements. It enforces user equilibrium through variational inequalities and can incorporate various modeling approaches, incl
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Yin, Y., & Liu, Z. (2023). AI-Enabled Transportation Network Analysis, Planning and Operations (Report No. CCAT Report No. 65). University of Michigan. Center for Connected and Automated Transportation. https://hdl.handle.net/2027.42/177545
Yin, Yafeng and Zhichen Liu. AI-Enabled Transportation Network Analysis, Planning and Operations. Report no. CCAT Report No. 65. University of Michigan. Center for Connected and Automated Transportation, 2023. https://hdl.handle.net/2027.42/177545.
Yin, Yafeng, and Zhichen Liu AI-Enabled Transportation Network Analysis, Planning and Operations. University of Michigan. Center for Connected and Automated Transportation, 2023, Report no. CCAT Report No. 65, ROSA P. https://hdl.handle.net/2027.42/177545.
The number of automated features in surface vehicles is increasing as new vehicles are released each year. Some features allow drivers to temporarily take their attention off the road to engage in other tasks. However, sometimes it is important for drivers to immediately take control of the vehicle. To take control safely, drivers must understand w
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Dataset
Greatbatch, R., Dunn, N. J., Kim, H., Krasner, A., Doerzaph, Z., & Llaneras, R. E. (2023). Guiding Driver Responses During Manual Takeovers from Automated Vehicles [supporting dataset] (Report No. VTTI-00-026). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://doi.org/10.15787/VTT1/FJYGL1
Greatbatch, Richard, Naomi J. Dunn, Hyungil Kim, Alexander Krasner, Zachary Doerzaph, and Robert E. Llaneras. Guiding Driver Responses During Manual Takeovers from Automated Vehicles [supporting dataset]. Report no. VTTI-00-026. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2023. https://doi.org/10.15787/VTT1/FJYGL1.
Greatbatch, Richard, et al. Guiding Driver Responses During Manual Takeovers from Automated Vehicles [supporting dataset]. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2023, Report no. VTTI-00-026, ROSA P. https://doi.org/10.15787/VTT1/FJYGL1.
Truck platooning—wirelessly linking two or more trucks to travel in a closely spaced convoy—is federally promoted to save fuel, improve the environment, and improve traffic operations. Platooning places trucks much closer than current design codes anticipate. While this strategy can provide higher fuel efficiency, it also can potentially overload s
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Steelman, J. S., Puckett, J. A., Linzell, D. G., & Yang, B. (2023). Truck Platooning Effects on Girder Bridges: Phase II-Service (Report No. WBS 26-1107-0202-001). Nebraska. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/68881
Steelman, Joshua S., Jay A. Puckett, Daniel G. Linzell, and Bowen Yang. Truck Platooning Effects on Girder Bridges: Phase II-Service. Report no. WBS 26-1107-0202-001. Nebraska. Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/68881.
Steelman, Joshua S., et al. Truck Platooning Effects on Girder Bridges: Phase II-Service. Nebraska. Department of Transportation, 2023, Report no. WBS 26-1107-0202-001, ROSA P. https://rosap.ntl.bts.gov/view/dot/68881.
We will apply our results from neuroscience and safe control to improve driver-assistance technology as follows. First, we will study the use of visual attention information to detect risks early, before the failure to detect risk-critical obstacles can be identified from the drivers' control action and vehicle states. Second, we will find safer co
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Dataset
Nakahira, Y. (2023). Safety Assurance System Utilizing Visual Attention for Advanced Driver-Assistance Systems [supporting datasets]. Mobility21 (UTC). https://doi.org/10.21949/1529858
Nakahira, Yorie. Safety Assurance System Utilizing Visual Attention for Advanced Driver-Assistance Systems [supporting datasets]. Mobility21 (UTC), 2023. https://doi.org/10.21949/1529858.
Nakahira, Yorie Safety Assurance System Utilizing Visual Attention for Advanced Driver-Assistance Systems [supporting datasets]. Mobility21 (UTC), 2023, ROSA P. https://doi.org/10.21949/1529858.
This paper focuses on assessing the transportation system and sub-population level impacts of different congestion pricing policies for shared AV services in Seattle. While the conclusions of this research are meant to be generalizable, we focus our study on Seattle, Washington because it’s a diverse city with known inequalities among income, race,
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Harper, C., & Yang, H. (2023). Insights into Equitable and Fair Congestion Pricing Strategies in a World of Shared Automated Vehicles (Report No. 69A3551747111). Mobility21, Carnegie Mellon University. https://rosap.ntl.bts.gov/view/dot/68486
Harper, Corey and Haoming Yang. Insights into Equitable and Fair Congestion Pricing Strategies in a World of Shared Automated Vehicles. Report no. 69A3551747111. Mobility21, Carnegie Mellon University, 2023. https://rosap.ntl.bts.gov/view/dot/68486.
Harper, Corey, and Haoming Yang Insights into Equitable and Fair Congestion Pricing Strategies in a World of Shared Automated Vehicles. Mobility21, Carnegie Mellon University, 2023, Report no. 69A3551747111, ROSA P. https://rosap.ntl.bts.gov/view/dot/68486.
Roadway intersections are among the major causes of traffic congestion besides lane reduction bottlenecks. When a major road intersects a minor road at an unsignalized intersection without the control of a traffic signal, the mainline vehicles are given priority over the minor road vehicles to go through the intersection, and the latter can only en
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Yi, P. (2023). Access Control at Major/Minor Road Intersection Through CAV in Mixed Traffic (Report No. UA-CETran 2023-01). University of Michigan. Center for Connected and Automated Transportation. https://doi.org/10.5703/1288284317738
Yi, Ping. Access Control at Major/Minor Road Intersection Through CAV in Mixed Traffic. Report no. UA-CETran 2023-01. University of Michigan. Center for Connected and Automated Transportation, 2023. https://doi.org/10.5703/1288284317738.
Yi, Ping Access Control at Major/Minor Road Intersection Through CAV in Mixed Traffic. University of Michigan. Center for Connected and Automated Transportation, 2023, Report no. UA-CETran 2023-01, ROSA P. https://doi.org/10.5703/1288284317738.
High precision road maps are a crucial component to facilitating autonomous driving techniques. Autonomous vehicles (AVs) are experiencing exponential growth. According to the latest forecast from IHS Markit, over 33 million AVs will be on the road globally by 2040, posing a higher requirement to ensure AVs’ driving safety. Although current AVs rel
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Steele, J., Wu, J., Duong, A., Wyatt, B., Tapp, C., Tambunga, J., Kuhr, J., Ma, J., & McCarty, M. (2023). Digitizing Traffic Control Infrastructure for Autonomous Vehicles (AV) [Summary]. Texas Department of Transportation. Research and Technology Implementation Office. https://rosap.ntl.bts.gov/view/dot/72738
Steele, Joanne, Jason Wu, Ash Duong, Bethany Wyatt, Charles Tapp, Jacob Tambunga, James Kuhr, Jianming Ma, and Matthew McCarty. Digitizing Traffic Control Infrastructure for Autonomous Vehicles (AV) [Summary]. Texas Department of Transportation. Research and Technology Implementation Office, 2023. https://rosap.ntl.bts.gov/view/dot/72738.
Steele, Joanne, et al. Digitizing Traffic Control Infrastructure for Autonomous Vehicles (AV) [Summary]. Texas Department of Transportation. Research and Technology Implementation Office, 2023, ROSA P. https://rosap.ntl.bts.gov/view/dot/72738.
Electric vehicles, autonomous or manual, provide a valuable opportunity to address issues of environmental pollution, climate change, and national security. In recognition of the synergies between vehicle electrification and autonomy, this study addresses the facilitation of vehicle electrification in the prospective future era where autonomous veh
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Pourgholamali, M., Davatgari, A., Wang, J., Benny, D., Miralinaghi, M., & Labi, S. (2023). Facilitating Electric-Propulsion of Autonomous Vehicles Through Efficient Design of a Charging-Facility Network (Report No. 40). University of Michigan. Center for Connected and Automated Transportation. http://dx.doi.org/10.5703/1288284317703
Pourgholamali, Mohammadhosein, Amir Davatgari, Jiaming Wang, Deepak Benny, Mohammad Miralinaghi, and Samuel Labi. Facilitating Electric-Propulsion of Autonomous Vehicles Through Efficient Design of a Charging-Facility Network. Report no. 40. University of Michigan. Center for Connected and Automated Transportation, 2023. http://dx.doi.org/10.5703/1288284317703.
Pourgholamali, Mohammadhosein, et al. Facilitating Electric-Propulsion of Autonomous Vehicles Through Efficient Design of a Charging-Facility Network. University of Michigan. Center for Connected and Automated Transportation, 2023, Report no. 40, ROSA P. http://dx.doi.org/10.5703/1288284317703.
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