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 field of Intelligent Transportation Systems (ITS) has witnessed significantly increased activity in recent years, with the application of modern control, communications, and information technologies to vehicles and roadway infrastructure. In general, ITS can be categorized into three major target areas: Vehicle Systems, Traffic Management Syste
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Barth, M. J., Wu, G., & Boriboonsomsin, K. (2015). Intelligent Transportation Systems for Improving Traffic Energy Efficiency and Reducing GHG Emissions from Roadways: A White Paper from the National Center for Sustainable Transportation. National Center for Sustainable Transportation (NCST) (UTC). https://rosap.ntl.bts.gov/view/dot/31150
Barth, Matthew J., Guoyuan Wu, and Kanok Boriboonsomsin. Intelligent Transportation Systems for Improving Traffic Energy Efficiency and Reducing GHG Emissions from Roadways: A White Paper from the National Center for Sustainable Transportation. National Center for Sustainable Transportation (NCST) (UTC), 2015. https://rosap.ntl.bts.gov/view/dot/31150.
Barth, Matthew J., et al. Intelligent Transportation Systems for Improving Traffic Energy Efficiency and Reducing GHG Emissions from Roadways: A White Paper from the National Center for Sustainable Transportation. National Center for Sustainable Transportation (NCST) (UTC), 2015, ROSA P. https://rosap.ntl.bts.gov/view/dot/31150.
United States. Federal Highway Administration. Exploratory Advanced Research Program
2015-09-01
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This literature review and reference scanning focuses on the use of driver simulators for semiautonomous (or shared control) vehicle systems (2012–present), including related research from other modes of transportation (e.g., rail or aviation). Focus is on the research method and use of driving simulators.
United States. Federal Highway Administration. Exploratory Advanced Research Program (2015). Initial Stage Reference Search : Driver Simulators to Test Shared Controls, Limited Autonomy Vehicle Systems (Report No. FHWA-HRT-15-077). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/35932
United States. Federal Highway Administration. Exploratory Advanced Research Program. Initial Stage Reference Search : Driver Simulators to Test Shared Controls, Limited Autonomy Vehicle Systems. Report no. FHWA-HRT-15-077. United States. Federal Highway Administration, 2015. https://rosap.ntl.bts.gov/view/dot/35932.
United States. Federal Highway Administration. Exploratory Advanced Research Program Initial Stage Reference Search : Driver Simulators to Test Shared Controls, Limited Autonomy Vehicle Systems. United States. Federal Highway Administration, 2015, Report no. FHWA-HRT-15-077, ROSA P. https://rosap.ntl.bts.gov/view/dot/35932.
Un-signalized intersections create multiple opportunities for missed or misunderstood information. Stop sign-controlled intersections have also been shown to be a source of delay and emissions due to their frequent, often inappropriate use. By using connected vehicle technology, it is possible to place electronic stop signs at more conspicuous loca
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Virginia Tech Transportation Institute (2015). Safety, Operational, and Energy Impacts of In-Vehicle Adaptive Stop Displays Using Connected Vehicle Technology. Connected Vehicle/Infrastructure University Transportation Center. https://rosap.ntl.bts.gov/view/dot/29146
Virginia Tech Transportation Institute. Safety, Operational, and Energy Impacts of In-Vehicle Adaptive Stop Displays Using Connected Vehicle Technology. Connected Vehicle/Infrastructure University Transportation Center, 2015. https://rosap.ntl.bts.gov/view/dot/29146.
Virginia Tech Transportation Institute Safety, Operational, and Energy Impacts of In-Vehicle Adaptive Stop Displays Using Connected Vehicle Technology. Connected Vehicle/Infrastructure University Transportation Center, 2015, ROSA P. https://rosap.ntl.bts.gov/view/dot/29146.
In manufacturing, the use of autonomous and robotic machine control is now routine, and for good reason. When repetitive, dirty, dull, or dangerous operations are automated, safety and efficiency are generally enhanced, and products are consistently of a higher quality. This can result in significant cost savings.
Iowa State University, & Midwest Transportation Center (2015). Studying the Impacts of Autonomous and Robotically Controlled Road-Building Equipment. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology. https://doi.org/10.21949/1528867
Iowa State University and Midwest Transportation Center. Studying the Impacts of Autonomous and Robotically Controlled Road-Building Equipment. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, 2015. https://doi.org/10.21949/1528867.
Iowa State University, et al. Studying the Impacts of Autonomous and Robotically Controlled Road-Building Equipment. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, 2015, ROSA P. https://doi.org/10.21949/1528867.
The states of Michigan, California, Nevada, and Florida, along with the District of Columbia, have recently passed legislation to allow the use of autonomous motor vehicles on public roads in their states under restricted conditions. Other states such as Colorado, New Hampshire, Texas, Oklahoma, Arizona, Oregon, and Wisconsin also considered introd
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Wilmot, C. G. (2015). Ensuring Safety in Autonomous Vehicle Legislation in Louisiana: [Research Project Capsule] (Report No. 15-3SS). Louisiana Transportation Research Center. https://rosap.ntl.bts.gov/view/dot/28997
Wilmot, Chester G.. Ensuring Safety in Autonomous Vehicle Legislation in Louisiana: [Research Project Capsule]. Report no. 15-3SS. Louisiana Transportation Research Center, 2015. https://rosap.ntl.bts.gov/view/dot/28997.
Wilmot, Chester G. Ensuring Safety in Autonomous Vehicle Legislation in Louisiana: [Research Project Capsule]. Louisiana Transportation Research Center, 2015, Report no. 15-3SS, ROSA P. https://rosap.ntl.bts.gov/view/dot/28997.
This report documents the work completed by the Crash Avoidance Metrics Partners LLC (CAMP) Vehicle to Infrastructure (V2I) Consortium during the project titled “Cooperative Adaptive Cruise Control (CACC).” Participating companies in the V2I Consortium were FCA US LLC, Ford, General Motors, Hyundai-Kia, Honda, Mazda, Mercedes-Benz, Nissan, Subaru,
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Parikh, J., Abuchaar, O., Haidar, E., Kailas, A., Krishnan, H., Nakajima, H., Maile, M., Meier, J., Rajab, S., Sharrab, Y., Siko, S., Thompson, J., Yamamoto, M., & Deering, R. (2015). Vehicle-to-Infrastructure Program Cooperative Adaptive Cruise Control (Report No. FHWA-JPO-16-257). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/3580
Parikh, J., O. Abuchaar, E. Haidar, A. Kailas, H. Krishnan, H. Nakajima, and M. Maile, et al.. Vehicle-to-Infrastructure Program Cooperative Adaptive Cruise Control. Report no. FHWA-JPO-16-257. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2015. https://rosap.ntl.bts.gov/view/dot/3580.
Parikh, J., et al. Vehicle-to-Infrastructure Program Cooperative Adaptive Cruise Control. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2015, Report no. FHWA-JPO-16-257, ROSA P. https://rosap.ntl.bts.gov/view/dot/3580.
The Federal Highway Administration (FHWA) Office of Operations Research and Development, located at Turner-Fairbank Highway Research Center (TFHRC), added five new research vehicles to FHWA’s Innovation Research Vehicle Fleet. This fleet offers an experimental connected automation research platform that provides advanced capabilities for future ope
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Lochrane, T. (2015). Development of a Platform Technology for Automated Vehicle Research: Cooperative Adaptive Cruise Control (Report No. FHWA-HRT-15-032). United States. Federal Highway Administration. Office of Research and Technology Services. https://rosap.ntl.bts.gov/view/dot/39211
Lochrane, Taylor. Development of a Platform Technology for Automated Vehicle Research: Cooperative Adaptive Cruise Control. Report no. FHWA-HRT-15-032. United States. Federal Highway Administration. Office of Research and Technology Services, 2015. https://rosap.ntl.bts.gov/view/dot/39211.
Lochrane, Taylor Development of a Platform Technology for Automated Vehicle Research: Cooperative Adaptive Cruise Control. United States. Federal Highway Administration. Office of Research and Technology Services, 2015, Report no. FHWA-HRT-15-032, ROSA P. https://rosap.ntl.bts.gov/view/dot/39211.
The goal of this project was to detect road boundaries and stationary obstacles on the road using low-cost automotive-grade LiDAR scanners for the purpose of lateral positioning of the vehicle along the road. For autonomous driving, this information is especially useful on roads without proper lane markings or regions with poor GPS reception, such
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Agrawal, P., & Dolan, J. (2014). Sensory Augmentation for Increased Awareness of Driving Environment [2014]. Technologies for Safe and Efficient Transportation. University Transportation Center. https://rosap.ntl.bts.gov/view/dot/35800
Agrawal, Pranay and John Dolan. Sensory Augmentation for Increased Awareness of Driving Environment [2014]. Technologies for Safe and Efficient Transportation. University Transportation Center, 2014. https://rosap.ntl.bts.gov/view/dot/35800.
Agrawal, Pranay, and John Dolan Sensory Augmentation for Increased Awareness of Driving Environment [2014]. Technologies for Safe and Efficient Transportation. University Transportation Center, 2014, ROSA P. https://rosap.ntl.bts.gov/view/dot/35800.
Vehicle stops and speed variations account for a large percentage of vehicle fuel losses especially at signalized intersections. Recently, researchers have attempted to develop tools that reduce these losses by capitalizing on traffic signal information received via vehicle connectivity with traffic signal controllers. Existing state-of-the-art app
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Rakha, H., & Kamalanathsharma, R. K. (2014). Green Cooperative Adaptive Control Systems in the Vicinity of Signalized Intersections (Report No. N14-19;KLK900-SB-001). TranLIVE. University of Idaho. https://rosap.ntl.bts.gov/view/dot/28211
Rakha, Hesham and Raj Kishore Kamalanathsharma. Green Cooperative Adaptive Control Systems in the Vicinity of Signalized Intersections. Report no. N14-19;KLK900-SB-001. TranLIVE. University of Idaho, 2014. https://rosap.ntl.bts.gov/view/dot/28211.
Rakha, Hesham, and Raj Kishore Kamalanathsharma Green Cooperative Adaptive Control Systems in the Vicinity of Signalized Intersections. TranLIVE. University of Idaho, 2014, Report no. N14-19;KLK900-SB-001, ROSA P. https://rosap.ntl.bts.gov/view/dot/28211.
This report contains the results and analysis of a review of best practices and observations in the field of cybersecurity involving electronic control systems across a variety of industry segments where the safety-of-life is concerned. This research provides relevant benchmarks that are essential to making strategic decisions over the next steps f
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McCarthy, C., Harnett, K., & Carter, A. (2014). A Summary of Cybersecurity Best Practices (Report No. DOT HS 812 075). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/12121
McCarthy, Charlie, Kevin Harnett, and Art Carter. A Summary of Cybersecurity Best Practices. Report no. DOT HS 812 075. United States. Department of Transportation. National Highway Traffic Safety Administration, 2014. https://rosap.ntl.bts.gov/view/dot/12121.
McCarthy, Charlie, et al. A Summary of Cybersecurity Best Practices. United States. Department of Transportation. National Highway Traffic Safety Administration, 2014, Report no. DOT HS 812 075, ROSA P. https://rosap.ntl.bts.gov/view/dot/12121.
Unmanned vehicles are projected to reach consumer use within this decade - related legislation has already passed in California. The most significant technical challenge associated with these vehicles is their integration in transportation environments with manned vehicles. Abnormal or incorrect manipulation of the manned vehicles by their human dr
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Sarvestani, S. S., & Hurson, A. R. (2014). Quantitative Modeling of Failure Propagation in Intelligent Transportation Systems (Report No. NUTC R346). Missouri University of Science and Technology. Center for Transportation Infrastructure and Safety. https://rosap.ntl.bts.gov/view/dot/27974
Sarvestani, Sahra Sedigh and Ali R. Hurson. Quantitative Modeling of Failure Propagation in Intelligent Transportation Systems. Report no. NUTC R346. Missouri University of Science and Technology. Center for Transportation Infrastructure and Safety, 2014. https://rosap.ntl.bts.gov/view/dot/27974.
Sarvestani, Sahra Sedigh, and Ali R. Hurson Quantitative Modeling of Failure Propagation in Intelligent Transportation Systems. Missouri University of Science and Technology. Center for Transportation Infrastructure and Safety, 2014, Report no. NUTC R346, ROSA P. https://rosap.ntl.bts.gov/view/dot/27974.
The Pennsylvania Department of Transportation (PennDOT) commissioned a one-year project, Connected and Autonomous Vehicles 2040 Vision, with researchers at Carnegie Mellon University (CMU) to assess the implications of connected and autonomous vehicles on the management and operation of the state’s surface transportation system. This report explore
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Mashayekh, Y., Biehler, A., & Hendrickson, C. (2014). Connected and Autonomous Vehicles 2040 Vision (Report No. FHWA-PA-2014-004-CMU WO 1). Pennsylvania. Dept. of Transportation. Bureau of Planning and Research. https://rosap.ntl.bts.gov/view/dot/28045
Mashayekh, Yeganeh, Allen Biehler, and Chris Hendrickson. Connected and Autonomous Vehicles 2040 Vision. Report no. FHWA-PA-2014-004-CMU WO 1. Pennsylvania. Dept. of Transportation. Bureau of Planning and Research, 2014. https://rosap.ntl.bts.gov/view/dot/28045.
Mashayekh, Yeganeh, et al. Connected and Autonomous Vehicles 2040 Vision. Pennsylvania. Dept. of Transportation. Bureau of Planning and Research, 2014, Report no. FHWA-PA-2014-004-CMU WO 1, ROSA P. https://rosap.ntl.bts.gov/view/dot/28045.
Within the context of automation Levels 2 and 3, this report documents the proceedings from a literature review of key human factors studies that was performed related to automated vehicle operations. This document expands and updates the results from a prior literature review that was performed for the US DOT. Content within this document reflects
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Trimble, T. E., Bishop, R., Morgan, J. F., & Blanco, M. (2014). Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Past Research, State of Automation Technology, and Emerging System Concepts (Report No. DOT HS 812 043). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/24588
Trimble, Tammy E., Richard Bishop, Justin F. Morgan, and Myra Blanco. Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Past Research, State of Automation Technology, and Emerging System Concepts. Report no. DOT HS 812 043. United States. Department of Transportation. National Highway Traffic Safety Administration, 2014. https://rosap.ntl.bts.gov/view/dot/24588.
Trimble, Tammy E., et al. Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Past Research, State of Automation Technology, and Emerging System Concepts. United States. Department of Transportation. National Highway Traffic Safety Administration, 2014, Report no. DOT HS 812 043, ROSA P. https://rosap.ntl.bts.gov/view/dot/24588.
The Concepts of Operation document evaluates the functional framework of operations for Level 2 and Level 3 automated vehicle systems. This is done by defining the varying levels of automation, the operator vehicle interactions, and system components; and further, by assessing the automation relevant parameters from a scenario-based analysis stand-
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Marinik, A., Bishop, R., Fitchett, V., Morgan, J. F., Trimble, T. E., & Blanco, M. (2014). Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Concepts of Operation (Report No. DOT HS 812 044). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/24586
Marinik, Andrew, Richard Bishop, Vikki Fitchett, Justin F. Morgan, Tammy E. Trimble, and Myra Blanco. Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Concepts of Operation. Report no. DOT HS 812 044. United States. Department of Transportation. National Highway Traffic Safety Administration, 2014. https://rosap.ntl.bts.gov/view/dot/24586.
Marinik, Andrew, et al. Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Concepts of Operation. United States. Department of Transportation. National Highway Traffic Safety Administration, 2014, Report no. DOT HS 812 044, ROSA P. https://rosap.ntl.bts.gov/view/dot/24586.
Automated vehicles (AVs)—a combination of technologies and sensors that enable vehicles to operate with limited or no driver input—are rapidly moving from science fiction to real-world application. Low-level, limited function AV technologies are already available on new vehicles today, and high-level AVs may be just around the corner. On-road vehic
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Wagner, J., Goodin, G., Baker, T., Maddox, J., & Pourteau, C. (2014). Revolutionizing Our Roadways: The Challenges and Benefits of Making Automated Vehicles a Reality (Report No. SWUTC 600451-00029-2). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/27384
Wagner, Jason, Ginger Goodin, Trey Baker, John Maddox, and Chris Pourteau. Revolutionizing Our Roadways: The Challenges and Benefits of Making Automated Vehicles a Reality. Report no. SWUTC 600451-00029-2. Texas A&M Transportation Institute, 2014. https://rosap.ntl.bts.gov/view/dot/27384.
Wagner, Jason, et al. Revolutionizing Our Roadways: The Challenges and Benefits of Making Automated Vehicles a Reality. Texas A&M Transportation Institute, 2014, Report no. SWUTC 600451-00029-2, ROSA P. https://rosap.ntl.bts.gov/view/dot/27384.
The study demonstrates the feasibility of two eco-driving applications which reduces vehicle fuel consumption and greenhouse gas emissions. In particular, the study develops an eco-drive system that combines eco-cruise control logic with state-of-the-art car-following models and evaluates Eco-Lanes and SPD-HARM applications. The research investigat
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Rakha, H., & Ahn, K. (2014). Developing Eco-Adaptive Cruise Control Systems (Report No. N14-06). TranLIVE. University of Idaho. https://rosap.ntl.bts.gov/view/dot/26993
Rakha, Hesham and Kyoungho Ahn. Developing Eco-Adaptive Cruise Control Systems. Report no. N14-06. TranLIVE. University of Idaho, 2014. https://rosap.ntl.bts.gov/view/dot/26993.
Rakha, Hesham, and Kyoungho Ahn Developing Eco-Adaptive Cruise Control Systems. TranLIVE. University of Idaho, 2014, Report no. N14-06, ROSA P. https://rosap.ntl.bts.gov/view/dot/26993.
We are moving towards an age of autonomous vehicles. Cycles of innovation initiated in the public and private sectors have led one into another since the 1990s; and out of these efforts have sprung a variety of Advanced Driver Assistance Systems and several functioning autonomous vehicles. The challenges that face autonomous vehicle are still signi
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Schwarz, C., Thomas, G., Nelson, K., McCrary, M., Sclarmann, N., & Powell, M. (2013). Towards Autonomous Vehicles (Report No. MATC-UI: 117;25-1121-0003-117). Mid-America Transportation Center. https://rosap.ntl.bts.gov/view/dot/26930
Schwarz, Chris, Geb Thomas, Kory Nelson, Michael McCrary, Nick Sclarmann, and Matthew Powell. Towards Autonomous Vehicles. Report no. MATC-UI: 117;25-1121-0003-117. Mid-America Transportation Center, 2013. https://rosap.ntl.bts.gov/view/dot/26930.
Schwarz, Chris, et al. Towards Autonomous Vehicles. Mid-America Transportation Center, 2013, Report no. MATC-UI: 117;25-1121-0003-117, ROSA P. https://rosap.ntl.bts.gov/view/dot/26930.
Traffic congestion is growing at a faster rate than can be alleviated solely by additional road construction. Various Intelligent Transportation Systems technologies aim to increase and improve transportation via non-traditional means. Cooperative Adaptive Cruise Control (CACC) is one such technology, intended to increase traffic throughput by safe
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Jones, S. (2013). Cooperative Adaptive Cruise Control: Human Factors Analysis (Report No. FHWA-HRT-13-045). United States. Federal Highway Administration. Office of Safety Research and Development. https://rosap.ntl.bts.gov/view/dot/36803
Jones, Stephen. Cooperative Adaptive Cruise Control: Human Factors Analysis. Report no. FHWA-HRT-13-045. United States. Federal Highway Administration. Office of Safety Research and Development, 2013. https://rosap.ntl.bts.gov/view/dot/36803.
Jones, Stephen Cooperative Adaptive Cruise Control: Human Factors Analysis. United States. Federal Highway Administration. Office of Safety Research and Development, 2013, Report no. FHWA-HRT-13-045, ROSA P. https://rosap.ntl.bts.gov/view/dot/36803.
This report describes pre-crash scenarios that might be addressed by vehicle-to-vehicle communications. The focus is on crashes involving at least 1 light vehicle with a gross vehicle weight rating of 10,000 pounds or less. The 2004-2008 General Estimates System crash databases were used to quantify the societal cost and describe the driving enviro
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Najm, W. G., Ranganathan, R., Srinivasan, G., Smith, J. D., Toma, S., Swanson, E. D., & Burgett, A. (2013). Description of light-vehicle pre-crash scenarios for safety applications based on vehicle-to-vehicle communications (Report No. DOT-VNTSC-NHTSA-11-11). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/9980
Najm, Wassim G., Raja Ranganathan, Gowrishankar Srinivasan, John D. Smith, Samuel Toma, Elizabeth D. Swanson, and August Burgett. Description of light-vehicle pre-crash scenarios for safety applications based on vehicle-to-vehicle communications. Report no. DOT-VNTSC-NHTSA-11-11. United States. Department of Transportation. National Highway Traffic Safety Administration, 2013. https://rosap.ntl.bts.gov/view/dot/9980.
Najm, Wassim G., et al. Description of light-vehicle pre-crash scenarios for safety applications based on vehicle-to-vehicle communications. United States. Department of Transportation. National Highway Traffic Safety Administration, 2013, Report no. DOT-VNTSC-NHTSA-11-11, ROSA P. https://rosap.ntl.bts.gov/view/dot/9980.
This report discusses light-vehicle crash countermeasure profiles and functions for five target pre-crash scenario groups based on vehicle-to-vehicle (V2V) communications. Target pre-crash scenario groups include rear-end, lane change, opposite direction, junction crossing, and left turn across path from opposite direction (LTAP/OD) crashes involvi
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Toma, S., Swanson, E. D., & Najm, W. G. (2013). Light Vehicle Crash Avoidance Needs and Countermeasure Profiles for Safety Applications Based on Vehicle-to-Vehicle Communications (Report No. DOT-VNTSC-NHTSA-11-13). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/9888
Toma, Samuel, Elizabeth D. Swanson, and Wassim G. Najm. Light Vehicle Crash Avoidance Needs and Countermeasure Profiles for Safety Applications Based on Vehicle-to-Vehicle Communications. Report no. DOT-VNTSC-NHTSA-11-13. United States. Department of Transportation. National Highway Traffic Safety Administration, 2013. https://rosap.ntl.bts.gov/view/dot/9888.
Toma, Samuel, et al. Light Vehicle Crash Avoidance Needs and Countermeasure Profiles for Safety Applications Based on Vehicle-to-Vehicle Communications. United States. Department of Transportation. National Highway Traffic Safety Administration, 2013, Report no. DOT-VNTSC-NHTSA-11-13, ROSA P. https://rosap.ntl.bts.gov/view/dot/9888.
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