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.
The intent of this project is to explore unobserved heterogeneity and its interpretation by undertaking a series of empirical applications that use some of the most advanced heterogeneity models available. The project report begins by studying effect of information on changing opinions toward autonomous vehicle adoption (Chapter 2). The report then
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Mannering, F., Maness, M., Pinjari, A., Zhang, Y., Alnawmasi, N., Balusu, S., Barbour, N., Behnood, A., Eluru, N., Luong, T., Mishra, D., Sheela, P. V., & Tahlyan, D. (2019). Emerging Econometric and Data Collection Methods for Capturing Attitudinal and Social Factors in Activity, Travel Behavior and Safety Modeling. Center for Teaching Old Models New Tricks (TOMNET). https://rosap.ntl.bts.gov/view/dot/62804
Mannering, Fred, Michael Maness, Abdul Pinjari, Yu Zhang, Nawaf Alnawmasi, Suryaprasanna Balusu, and Natalia Barbour, et al.. Emerging Econometric and Data Collection Methods for Capturing Attitudinal and Social Factors in Activity, Travel Behavior and Safety Modeling. Center for Teaching Old Models New Tricks (TOMNET), 2019. https://rosap.ntl.bts.gov/view/dot/62804.
Mannering, Fred, et al. Emerging Econometric and Data Collection Methods for Capturing Attitudinal and Social Factors in Activity, Travel Behavior and Safety Modeling. Center for Teaching Old Models New Tricks (TOMNET), 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/62804.
Automated Truck Platooning (ATP) enables a group of commercial trucks to move safely together with higher speeds and shorter headways between them. By assisting truck drivers and reducing human error, ATPs are expected to improve traffic safety. Since 2013, the performance of ATPs has been investigated through several research efforts that included
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Spasovic, L. N., Bensenski, D., & Lee, J. (2019). Impact Assessments of Automated Truck Platooning on Highway Traffic Flow and Adjacent Drivers (Report No. CAIT-UTC-NC53). Rutgers University. Center for Advanced Infrastructure and Transportation. https://rosap.ntl.bts.gov/view/dot/53766
Spasovic, Lazar N., Dejan Bensenski, and Joyoung Lee. Impact Assessments of Automated Truck Platooning on Highway Traffic Flow and Adjacent Drivers. Report no. CAIT-UTC-NC53. Rutgers University. Center for Advanced Infrastructure and Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/53766.
Spasovic, Lazar N., et al. Impact Assessments of Automated Truck Platooning on Highway Traffic Flow and Adjacent Drivers. Rutgers University. Center for Advanced Infrastructure and Transportation, 2019, Report no. CAIT-UTC-NC53, ROSA P. https://rosap.ntl.bts.gov/view/dot/53766.
Roadside work zones (WZs) present imminent safety hazards for roadway workers as well as passing motorists. In 2016, 764 fatalities occurred in WZs in the United States due to motor vehicle traffic crashes, which are the second most common cause of worker fatalities. The advent of connected and connected automated vehicles (CVs/CAVs) is driving WZ
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DatasetSupporting Files
Mollenhauer, M., White, E., & Roofigari-Esfahan, N. (2019). Design and Evaluation of a Connected Work Zone Hazard Detection and Communication System for Connected and Automated Vehicles (CAVs)[supporting datasets] (Report No. 03-050). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://doi.org/10.15787/VTT1/XUJAWN
Mollenhauer, Michael, Elizabeth White, and Nazila Roofigari-Esfahan. Design and Evaluation of a Connected Work Zone Hazard Detection and Communication System for Connected and Automated Vehicles (CAVs)[supporting datasets]. Report no. 03-050. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019. https://doi.org/10.15787/VTT1/XUJAWN.
Mollenhauer, Michael, et al. Design and Evaluation of a Connected Work Zone Hazard Detection and Communication System for Connected and Automated Vehicles (CAVs)[supporting datasets]. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019, Report no. 03-050, ROSA P. https://doi.org/10.15787/VTT1/XUJAWN.
This project focuses on establishing driving etiquette based on naturalistic driving behavior of human drivers to serve as the basis for the design of autonomous vehicles to drive "like safe human drivers." The project queried a large amount of naturalistic driving data from the Ann Arbor, Michigan connected vehicle deployment. The data were used t
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Peng, H., & Huang, X. (2019). Driving Etiquette. University of Michigan. Center for Connected and Automated Transportation. http://hdl.handle.net/2027.42/156052
Peng, Huei and Xianan Huang. Driving Etiquette. University of Michigan. Center for Connected and Automated Transportation, 2019. http://hdl.handle.net/2027.42/156052.
Peng, Huei, and Xianan Huang Driving Etiquette. University of Michigan. Center for Connected and Automated Transportation, 2019, ROSA P. http://hdl.handle.net/2027.42/156052.
Although the Highway Safety Manual (HSM) now provides empirical tools for predicting the safety consequences of highway engineering decisions, these tools represent the prevailing driver and vehicle conditions in the United States during the last few decades. As automated vehicles improve in capability and increase in market share, these conditions
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Davis, G., & Gao, J. (2019). Vehicle Automation and Transportability of Crash Modification Factors (Report No. CTS 19-21). University of Minnesota. https://rosap.ntl.bts.gov/view/dot/49174
Davis, Gary and Jingru Gao. Vehicle Automation and Transportability of Crash Modification Factors. Report no. CTS 19-21. University of Minnesota, 2019. https://rosap.ntl.bts.gov/view/dot/49174.
Davis, Gary, and Jingru Gao Vehicle Automation and Transportability of Crash Modification Factors. University of Minnesota, 2019, Report no. CTS 19-21, ROSA P. https://rosap.ntl.bts.gov/view/dot/49174.
This report presents the results of a test and evaluation effort that assessed the performance of three research mobility applications implemented by the open-source second-generation Cooperative Automation Research Mobility Applications (CARMA2) platform. This platform enables the research and development of cooperative automated driving system ca
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Tiernan, T., Bujanovic, P., Azeredo, P., Najm, W. G., & Lochrane, T. (2019). CARMA Testing and Evaluation of Research Mobility Applications (Report No. DOT-VNTSC-FHWA-19-15). John A. Volpe National Transportation Systems Center (U.S.). https://rosap.ntl.bts.gov/view/dot/41814
Tiernan, Tim, Pavle Bujanovic, Philip Azeredo, Wassim G Najm, and Taylor Lochrane. CARMA Testing and Evaluation of Research Mobility Applications. Report no. DOT-VNTSC-FHWA-19-15. John A. Volpe National Transportation Systems Center (U.S.), 2019. https://rosap.ntl.bts.gov/view/dot/41814.
Tiernan, Tim, et al. CARMA Testing and Evaluation of Research Mobility Applications. John A. Volpe National Transportation Systems Center (U.S.), 2019, Report no. DOT-VNTSC-FHWA-19-15, ROSA P. https://rosap.ntl.bts.gov/view/dot/41814.
Connectivity and automation in vehicles have the potential to change nearly every aspect of our transportation system. Vehicles with these capabilities are already being tested on public roads and are beginning to enter the national fleet. These vehicles have the potential to bring numerous benefits to the public, but these benefits come with trade
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Davis, B., & Johnson, R. (2019). Development of a Workshop on Automated Vehicle Technologies (Report No. CTS 19-23). University of Minnesota. https://rosap.ntl.bts.gov/view/dot/49173
Davis, Brian and Reed Johnson. Development of a Workshop on Automated Vehicle Technologies. Report no. CTS 19-23. University of Minnesota, 2019. https://rosap.ntl.bts.gov/view/dot/49173.
Davis, Brian, and Reed Johnson Development of a Workshop on Automated Vehicle Technologies. University of Minnesota, 2019, Report no. CTS 19-23, ROSA P. https://rosap.ntl.bts.gov/view/dot/49173.
Connected and autonomous vehicles (CAVs) have the capability to acquire real-time information from each other while human-driven vehicles (HVs) are standalone in the vehicle roadway navigation system. The information asymmetry poses great challenges in managing and controlling vehicles in the mixed traffic. To address such challenges, a new lane-ch
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DatasetSupporting Files
Whalin, R. W., & Hu, G. (2019). Macroscopic Fundamental Diagram Approach to Traffic Flow With Autonomous/Connected Vehicles [supporting datasets] (Report No. Project O2). Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE). https://doi.org/10.5281/zenodo.3750144
Whalin, Robert W and Guojing Hu. Macroscopic Fundamental Diagram Approach to Traffic Flow With Autonomous/Connected Vehicles [supporting datasets]. Report no. Project O2. Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE), 2019. https://doi.org/10.5281/zenodo.3750144.
Whalin, Robert W, and Guojing Hu Macroscopic Fundamental Diagram Approach to Traffic Flow With Autonomous/Connected Vehicles [supporting datasets]. Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE), 2019, Report no. Project O2, ROSA P. https://doi.org/10.5281/zenodo.3750144.
Study Objectives: 1) Understanding what influences decisions of postponing the purchase, keeping or giving up private vehicle ownership of non-AVs in the short and long run. 2) Assessing the intention to switch from public transportation in favor of ride-sharing services operated in AVs.
Gkartzonikas, C., & Gkritza, K. �. (2019). Potential Implications of Autonomous Vehicles on Personal Vehicle Ownership and Demand for Public Transit. Purdue University. https://rosap.ntl.bts.gov/view/dot/66753
Gkartzonikas, Christos and Konstantina “Nadia” Gkritza. Potential Implications of Autonomous Vehicles on Personal Vehicle Ownership and Demand for Public Transit. Purdue University, 2019. https://rosap.ntl.bts.gov/view/dot/66753.
Gkartzonikas, Christos, and Konstantina “Nadia” Gkritza Potential Implications of Autonomous Vehicles on Personal Vehicle Ownership and Demand for Public Transit. Purdue University, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/66753.
Research Objectives: Assess public acceptance of AVs across disadvantaged areas. Identify market segments with different characteristics and different levels of adoption Identify transportation disadvantaged areas. Provide best strategies and suggestions to these areas to ensure smooth transition.
Gkartzonikas, C., Losada-Rojas, L. L., & Gkritza, N. (2019). Assessing the Socio-Economic Implications Related to the Emergence of Shared Autonomous Vehicles. University of Michigan. Center for Connected and Automated Transportation. https://rosap.ntl.bts.gov/view/dot/66759
Gkartzonikas, Christos, Lisa Lorena Losada-Rojas, and Nadia Gkritza. Assessing the Socio-Economic Implications Related to the Emergence of Shared Autonomous Vehicles. University of Michigan. Center for Connected and Automated Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/66759.
Gkartzonikas, Christos, et al. Assessing the Socio-Economic Implications Related to the Emergence of Shared Autonomous Vehicles. University of Michigan. Center for Connected and Automated Transportation, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/66759.
This data management plan (DMP) explains how data from the project "Connected Autonomous Traffic Signal Control Algorithms and Fleet Vehicles" will be managed and shared.The purpose of the research project is to create field-ready, Connected-Autonomous Vehicles (CAV)-based traffic control programs that will improve operations and safety of trucks a
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Zlatkovic, M., Ahmed, M. M., Cvijovic, Z., & Bashir, S. (2019). Connected Autonomous Traffic Signal Control Algorithms and Fleet Vehicles [Data Management Plan]. University of Wyoming. https://rosap.ntl.bts.gov/view/dot/58985
Zlatkovic, Milan, Mohamed M Ahmed, Zorica Cvijovic, and Sara Bashir. Connected Autonomous Traffic Signal Control Algorithms and Fleet Vehicles [Data Management Plan]. University of Wyoming, 2019. https://rosap.ntl.bts.gov/view/dot/58985.
Zlatkovic, Milan, et al. Connected Autonomous Traffic Signal Control Algorithms and Fleet Vehicles [Data Management Plan]. University of Wyoming, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/58985.
This report summarizes the project activities and results of the Generation 2 (Gen2) Driver Assist System (DAS) used by the Minnesota Valley Transit Authority (MVTA) for bus shoulder operations. It provides warnings for lane departure, side collision, and forward collision. The Gen2 DAS is a GPS-based technology suite that provides lane position fe
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Supporting Files
Fant, T. (2019). Driver Assist System (DAS) Technology to Support Bus-on-Shoulder (BOS) Operations (Report No. FTA Report No. 0135). United States. Federal Transit Administration. Office of Research, Demonstration, and Innovation. https://doi.org/10.21949/1506037
Fant, Tyre. Driver Assist System (DAS) Technology to Support Bus-on-Shoulder (BOS) Operations. Report no. FTA Report No. 0135. United States. Federal Transit Administration. Office of Research, Demonstration, and Innovation, 2019. https://doi.org/10.21949/1506037.
Fant, Tyre Driver Assist System (DAS) Technology to Support Bus-on-Shoulder (BOS) Operations. United States. Federal Transit Administration. Office of Research, Demonstration, and Innovation, 2019, Report no. FTA Report No. 0135, ROSA P. https://doi.org/10.21949/1506037.
With the increasing adoption of adaptive cruise control (ACC) and development of cooperative adaptive cruise control (CACC), their effect on traffic, energy, and emissions is an ever more urgent question. Using the rapidly growing body of research on these impacts, this report presents a systematic review and meta-analysis of 67 recent studies. The
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Eilbert, A., Berg, I., & Smith, S. B. (2019). Meta-Analysis of Adaptive Cruise Control Applications: Operational and Environmental Benefits (Report No. FHWA-JPO-18-743;DOT-VNTSC-OSTR-19-02). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/41929
Eilbert, Andrew, Ian Berg, and Scott B. Smith. Meta-Analysis of Adaptive Cruise Control Applications: Operational and Environmental Benefits. Report no. FHWA-JPO-18-743;DOT-VNTSC-OSTR-19-02. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2019. https://rosap.ntl.bts.gov/view/dot/41929.
Eilbert, Andrew, et al. Meta-Analysis of Adaptive Cruise Control Applications: Operational and Environmental Benefits. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2019, Report no. FHWA-JPO-18-743;DOT-VNTSC-OSTR-19-02, ROSA P. https://rosap.ntl.bts.gov/view/dot/41929.
Objective: This article provides a review of empirical studies of automated vehicle takeovers and driver modeling to identify influential factors and their impacts on takeover performance and suggest driver models that can capture them. Background: Significant safety issues remain in automated-to-manual transitions of vehicle control. Developing mo
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McDonald, A. D., Alambeigi, H., Engström, J., Markkula, G., Vogelpohl, T., Dunne, J., & Yuma, N. (2019). Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures. SAGE Publications. https://rosap.ntl.bts.gov/view/dot/62505
McDonald, Anthony D, Hananeh Alambeigi, Johan Engström, Gustav Markkula, Tobias Vogelpohl, Jarrett Dunne, and Norbert Yuma. Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures. SAGE Publications, 2019. https://rosap.ntl.bts.gov/view/dot/62505.
McDonald, Anthony D, et al. Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures. SAGE Publications, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/62505.
Traffic signals, while serving an important function to coordinate vehicle movements through intersections, also cause frequent stops and delays, particularly when they are not properly timed. Such stops and delays contribute to significant amount of fuel consumption and greenhouse gas emissions. The recent development of connected and automated ve
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Han, X., Ma, R., & Zhang, H. M. (2019). Energy-aware Trajectory Optimization of Connected and Automated Vehicle Platoons through a Signalized Intersection (Report No. UC-ITS-2018-48, UCD-ITS-RR-19-11). University of California Institute of Transportation Studies. https://doi.org/10.7922/G2ZW1J4R
Han, Xiao, Rui Ma, and H Michael Zhang. Energy-aware Trajectory Optimization of Connected and Automated Vehicle Platoons through a Signalized Intersection. Report no. UC-ITS-2018-48, UCD-ITS-RR-19-11. University of California Institute of Transportation Studies, 2019. https://doi.org/10.7922/G2ZW1J4R.
Han, Xiao, et al. Energy-aware Trajectory Optimization of Connected and Automated Vehicle Platoons through a Signalized Intersection. University of California Institute of Transportation Studies, 2019, Report no. UC-ITS-2018-48, UCD-ITS-RR-19-11, ROSA P. https://doi.org/10.7922/G2ZW1J4R.
A study investigated the cognitive underpinnings of consumers’ beliefs and confidence in their beliefs about fully automated vehicles. Following previous research, opinions about self-driving cars tended to be mixed. The most negative views were held by consumers who had the least knowledge of self-driving cars. Low trust in technology was also ass
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Sanbonmatsu, D. M., Strayer, D. L., Yu, Z., Biondi, F., & Cooper, J. (2019). Cognitive Underpinnings of Beliefs and Confidence in Beliefs about Fully Automated Vehicles (Report No. MPC 19-388). Mountain-Plains Consortium. https://rosap.ntl.bts.gov/view/dot/42965
Sanbonmatsu, David M., David L. Strayer, Zhenghui Yu, Francesco Biondi, and Joel Cooper. Cognitive Underpinnings of Beliefs and Confidence in Beliefs about Fully Automated Vehicles. Report no. MPC 19-388. Mountain-Plains Consortium, 2019. https://rosap.ntl.bts.gov/view/dot/42965.
Sanbonmatsu, David M., et al. Cognitive Underpinnings of Beliefs and Confidence in Beliefs about Fully Automated Vehicles. Mountain-Plains Consortium, 2019, Report no. MPC 19-388, ROSA P. https://rosap.ntl.bts.gov/view/dot/42965.
A survey was conducted to examine the relationship between consumers’ beliefs about automated vehicles, their knowledge of automated vehicles, and their views about technology. The researchers investigated how knowledge of self-driving vehicles, perceived knowledge of self-driving vehicles, general beliefs about the self, and beliefs about technolo
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Sanbonmatsu, D. M., Strayer, D. L., Yu, Z., Orrego, J., & Adams, T. (2019). Cognitive Underpinnings of Beliefs and Confidence in Beliefs about Fully Automated Vehicles [Research Brief] (Report No. MPC-19-388). Mountain-Plains Consortium. https://rosap.ntl.bts.gov/view/dot/68318
Sanbonmatsu, David M., David L. Strayer, Zhenghui Yu, Jeffrey Orrego, and Taylor Adams. Cognitive Underpinnings of Beliefs and Confidence in Beliefs about Fully Automated Vehicles [Research Brief]. Report no. MPC-19-388. Mountain-Plains Consortium, 2019. https://rosap.ntl.bts.gov/view/dot/68318.
Sanbonmatsu, David M., et al. Cognitive Underpinnings of Beliefs and Confidence in Beliefs about Fully Automated Vehicles [Research Brief]. Mountain-Plains Consortium, 2019, Report no. MPC-19-388, ROSA P. https://rosap.ntl.bts.gov/view/dot/68318.
Automated vehicles (AVs) have the potential to disrupt the current transportation system and culture. While experts debate the exact timeline, the question is likely a matter of when, not if. Therefore, communities of all kinds need to prepare for this future. Small urban and rural communities, in particular, could benefit from the development of t
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Douma, F., & Petersen, E. (2019). Scenarios and Justification for Automated Vehicle Demonstration in Rural Minnesota (Report No. CTS 19-18). Hubert H. Humphrey Institute of Public Affairs. https://rosap.ntl.bts.gov/view/dot/49158
Douma, Frank and Erin Petersen. Scenarios and Justification for Automated Vehicle Demonstration in Rural Minnesota. Report no. CTS 19-18. Hubert H. Humphrey Institute of Public Affairs, 2019. https://rosap.ntl.bts.gov/view/dot/49158.
Douma, Frank, and Erin Petersen Scenarios and Justification for Automated Vehicle Demonstration in Rural Minnesota. Hubert H. Humphrey Institute of Public Affairs, 2019, Report no. CTS 19-18, ROSA P. https://rosap.ntl.bts.gov/view/dot/49158.
Automated vehicle (AV) technology is rapidly moving towards reality and will be mature within the next decade. However, the physical, institutional, and legal infrastructure for enabling widespread adoption of this technology is still lagging significantly. The focus of this research is on developing a decision framework for optimal upgrading of th
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Guhathakurta, S., & Kumar, A. (2019). When and Where Are Dedicated Lanes Needed under Mixed Traffic of Automated and Non-automated Vehicles for Optimal System Level Benefits?. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC). https://rosap.ntl.bts.gov/view/dot/68919
Guhathakurta, Subhrajit and Amit Kumar. When and Where Are Dedicated Lanes Needed under Mixed Traffic of Automated and Non-automated Vehicles for Optimal System Level Benefits?. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2019. https://rosap.ntl.bts.gov/view/dot/68919.
Guhathakurta, Subhrajit, and Amit Kumar When and Where Are Dedicated Lanes Needed under Mixed Traffic of Automated and Non-automated Vehicles for Optimal System Level Benefits?. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/68919.
This document contains an overview of the software infrastructure developed under the SAFER-SIM project “Developing an Open Source Multi-Agent Simulation Environment for Connected Autonomous Vehicles”. We provide a description of the four foundational simulation elements – agent dynamics, sensing, communication, and virtual worlds – that anchor Syn
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Negrut, D., Serban, R., & Elmquist, A. (2019). Developing an Open-Source Multi-Agent Simulation Environment for Connected Autonomous Vehicles. Safety Research Using Simulation (SAFER-SIM) University Transportation Center. https://rosap.ntl.bts.gov/view/dot/42268
Negrut, Dan, Radu Serban, and Asher Elmquist. Developing an Open-Source Multi-Agent Simulation Environment for Connected Autonomous Vehicles. Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2019. https://rosap.ntl.bts.gov/view/dot/42268.
Negrut, Dan, et al. Developing an Open-Source Multi-Agent Simulation Environment for Connected Autonomous Vehicles. Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/42268.
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