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.
Despite its challenges, independent travel for blind and visually impaired (BVI) individuals is an essential component of quality of life, enabling travel to work and recreational activities. Autonomous vehicle technologies have the potential of meeting these challenges. However, efficiently and safely guiding BVI travelers between indoor environme
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Li, B., Comert, G., Brooks, J., & Arditi, A. (2022). Safe and Efficient E-wayfinding (SeeWay) Assistive Navigation for the Visually Impaired. Center for Connected Multimodal Mobility, Clemson University. https://rosap.ntl.bts.gov/view/dot/67816
Li, Bing, Gurcan Comert, Johnell Brooks, and Aries Arditi. Safe and Efficient E-wayfinding (SeeWay) Assistive Navigation for the Visually Impaired. Center for Connected Multimodal Mobility, Clemson University, 2022. https://rosap.ntl.bts.gov/view/dot/67816.
Li, Bing, et al. Safe and Efficient E-wayfinding (SeeWay) Assistive Navigation for the Visually Impaired. Center for Connected Multimodal Mobility, Clemson University, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/67816.
This report documents the Test and Evaluation Plan of the Federal Highway Administration (FHWA) Truck Platooning Early Deployment Assessment Phase 2 project. The test plan includes four stages: (a) Cooperative Adaptive Cruise Control (CACC) system performance test by PATH team, which combined step-by-step implementation and CACC system tests to mak
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Lu, X. Y., Shladover, S., Liu, H., Huey, R., & McKeever, B. B. (2022). Truck Platooning Early Deployment Assessment: Phase 2 Test and Evaluation Plan (Report No. FHWA-JPO-22-987). United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office. https://rosap.ntl.bts.gov/view/dot/66284
Lu, Xiao-Yun, Steven Shladover, Hao Liu, Rick Huey, and Benjamin B. McKeever. Truck Platooning Early Deployment Assessment: Phase 2 Test and Evaluation Plan. Report no. FHWA-JPO-22-987. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022. https://rosap.ntl.bts.gov/view/dot/66284.
Lu, Xiao-Yun, et al. Truck Platooning Early Deployment Assessment: Phase 2 Test and Evaluation Plan. United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office, 2022, Report no. FHWA-JPO-22-987, ROSA P. https://rosap.ntl.bts.gov/view/dot/66284.
This report describes a project to develop an automated wheelchair tiedown and occupant restraint systems (WTORS) that could be safely and independently used in automated vehicles by people who remain seated in their wheelchairs for travel. The literature review focuses on topics relevant to safe, independent use of automated vehicles to people who
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Klinich, K. D., Manary, M. A., Boyle, K. J., Orton, N. R., & Hu, J. (2022). Development of an Automated Wheelchair Tiedown Restraint System (Report No. DOT HS 813 275). United States. Department of Transportation. National Highway Traffic Safety Administration. https://doi.org/10.21949/1530262
Klinich, Kathleen D., Miriam A. Manary, Kyle J. Boyle, Nichole R. Orton, and Jingwen Hu. Development of an Automated Wheelchair Tiedown Restraint System. Report no. DOT HS 813 275. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022. https://doi.org/10.21949/1530262.
Klinich, Kathleen D., et al. Development of an Automated Wheelchair Tiedown Restraint System. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022, Report no. DOT HS 813 275, ROSA P. https://doi.org/10.21949/1530262.
As automated transportation progresses, public transit agencies may address the equitable implications of integrating autonomous vehicles and shuttles into current transit systems. Capital and operating expenses for automated mobility modes handled by public transportation agencies are unknown at this point given the limited number of pilots and de
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Samaras, C. (2022). Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems (Report No. Project #336). Mobility21, Carnegie Mellon University. https://rosap.ntl.bts.gov/view/dot/64434
Samaras, Costa. Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems. Report no. Project #336. Mobility21, Carnegie Mellon University, 2022. https://rosap.ntl.bts.gov/view/dot/64434.
Samaras, Costa Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems. Mobility21, Carnegie Mellon University, 2022, Report no. Project #336, ROSA P. https://rosap.ntl.bts.gov/view/dot/64434.
As automated transportation progresses, public transit agencies may address the equitable implications of integrating autonomous vehicles and shuttles into current transit systems. Capital and operating expenses for automated mobility modes handled by public transportation agencies are unknown at this point given the limited number of pilots and de
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Dataset
Whitmore, A. (2022). Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems [Supporting Dataset] (Report No. Project #336). Mobility21, Carnegie Mellon University. https://doi.org/10.1184/R1/21223763.v1
Whitmore, Allante. Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems [Supporting Dataset]. Report no. Project #336. Mobility21, Carnegie Mellon University, 2022. https://doi.org/10.1184/R1/21223763.v1.
Whitmore, Allante Improving Access and Equity via Shared Automated Mobility in U.S. Public Transportation Systems [Supporting Dataset]. Mobility21, Carnegie Mellon University, 2022, Report no. Project #336, ROSA P. https://doi.org/10.1184/R1/21223763.v1.
In this study, the authors develop a comprehensive framework to model the impact of cyberattacks on safety, security, and head-to-tail stability of connected and automated vehicular platoons. First, the authors propose a general platoon dynamics model with heterogeneous time delays that may originate from the communication channel and/or vehicle on
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Wang, Y., Zhang, R., Masoud, N., & Liu, H. X. (2022). Anomaly Detection and String Stability Analysis in Connected Automated Vehicular Platoons. University of Michigan. https://rosap.ntl.bts.gov/view/dot/68522
Wang, Yiyang, Ruixuan Zhang, Neda Masoud, and Henry X. Liu. Anomaly Detection and String Stability Analysis in Connected Automated Vehicular Platoons. University of Michigan, 2022. https://rosap.ntl.bts.gov/view/dot/68522.
Wang, Yiyang, et al. Anomaly Detection and String Stability Analysis in Connected Automated Vehicular Platoons. University of Michigan, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/68522.
The National Highway Traffic Safety Administration recently granted permission to deploy low-speed autonomous delivery vehicles (ADVs) on roadways. Although the mobility of ADVs is limited to low-speed roads and these vehicles are occupant less, frequent stops and mobility among residential neighborhoods cause safety-related concerns. There is cons
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Dataset
Das, S., Tsapakis, I., Elgart, Z., Kutela, B., Vierkant, V., & Li, E. (2022). Autonomous Delivery Vehicle as a Disruptive Technology: How To Shape the Future With a Focus on Safety? [Supporting Dataset] (Report No. 05-087). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://doi.org/10.15787/VTT1/VAEBNM
Das, Subasish, Ioannis Tsapakis, Zachary Elgart, Boniphace Kutela, Valerie Vierkant, and Eric Li. Autonomous Delivery Vehicle as a Disruptive Technology: How To Shape the Future With a Focus on Safety? [Supporting Dataset]. Report no. 05-087. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2022. https://doi.org/10.15787/VTT1/VAEBNM.
Das, Subasish, et al. Autonomous Delivery Vehicle as a Disruptive Technology: How To Shape the Future With a Focus on Safety? [Supporting Dataset]. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2022, Report no. 05-087, ROSA P. https://doi.org/10.15787/VTT1/VAEBNM.
With the accelerated deployment of connected and automated vehicle (CAV) technologies, public agencies have urgent needs on how to utilize these rich data sources of CAVs to improve traffic mobility, safety, and environmental and energy impact. This research will tackle one of the big data challenges, which is mining driving behavior patterns using
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Dataset
Di, X., Jin, P., Huang, Y., & Mo, Z. (2022). Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub [Supporting Dataset] (Report No. CAIT-UTC-REG46). Rutgers University. Center for Advanced Infrastructure and Transportation. https://doi.org/10.7910/DVN/XIHFDG
Di, Xuan, Peter Jin, Yufei Huang, and Zhaobin Mo. Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub [Supporting Dataset]. Report no. CAIT-UTC-REG46. Rutgers University. Center for Advanced Infrastructure and Transportation, 2022. https://doi.org/10.7910/DVN/XIHFDG.
Di, Xuan, et al. Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub [Supporting Dataset]. Rutgers University. Center for Advanced Infrastructure and Transportation, 2022, Report no. CAIT-UTC-REG46, ROSA P. https://doi.org/10.7910/DVN/XIHFDG.
As society progresses towards increased automation in aviation—such as with Advanced Air Mobility and Unmanned Aircraft Systems—it is important to have a common understanding and perspective about automation among the many stakeholders, including aviation system designers, operators, maintainers, and regulatory authorities. Unfortunately, the disco
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Kaliardos, W. N. (. (2022). Enough Fluff: Returning to Meaningful Perspectives on Automation. Kaliardos, William N (Bill). https://rosap.ntl.bts.gov/view/dot/64829
Kaliardos, William N. (Bill). Enough Fluff: Returning to Meaningful Perspectives on Automation. Kaliardos, William N (Bill), 2022. https://rosap.ntl.bts.gov/view/dot/64829.
Kaliardos, William N. (Bill) Enough Fluff: Returning to Meaningful Perspectives on Automation. Kaliardos, William N (Bill), 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/64829.
The objective of this research focuses on the following topics. The first objective is to determine the impact of autonomous vehicles on pedestrian measures such as gap acceptance, waiting time, and acceleration rate while crossing the road. This research will compare the pedestrian behavior changes with the automation level of the vehicle. The sec
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Lownes, N., Rezwana, S., Shaon, M. R. R., & Jackson, E. (2022). Pedestrian Behavior and Interaction With Autonomous Vehicles (Report No. CAMMSE-UNCC-2021-UTC-Project-06). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/64494
Lownes, Nicholas, Saki Rezwana, Mohammad Razaur Rahman Shaon, and Eric Jackson. Pedestrian Behavior and Interaction With Autonomous Vehicles. Report no. CAMMSE-UNCC-2021-UTC-Project-06. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2022. https://rosap.ntl.bts.gov/view/dot/64494.
Lownes, Nicholas, et al. Pedestrian Behavior and Interaction With Autonomous Vehicles. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2022, Report no. CAMMSE-UNCC-2021-UTC-Project-06, ROSA P. https://rosap.ntl.bts.gov/view/dot/64494.
LiDAR is an emerging technology that can provide detailed point-cloud measurements for accurate detection and characterization of objects. The cost of this technology has seen significant reduction in recent years with the scaling of production to meet the demands of wide-ranging applications such as autonomous vehicles, infrastructure inventory an
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Ritchie, S. G., Tok, A., Li, Y., Allu, K. R., & Sun, J. (2022). Investigation of LiDAR Sensing Technology to Improve Freeway Traffic Monitoring (Report No. PSR-21-34). METRANS Transportation Center (Calif.). https://rosap.ntl.bts.gov/view/dot/67550
Ritchie, Stephen G., Andre Tok, Yiqiao Li, Koti R Allu, and Jared Sun. Investigation of LiDAR Sensing Technology to Improve Freeway Traffic Monitoring. Report no. PSR-21-34. METRANS Transportation Center (Calif.), 2022. https://rosap.ntl.bts.gov/view/dot/67550.
Ritchie, Stephen G., et al. Investigation of LiDAR Sensing Technology to Improve Freeway Traffic Monitoring. METRANS Transportation Center (Calif.), 2022, Report no. PSR-21-34, ROSA P. https://rosap.ntl.bts.gov/view/dot/67550.
The National Highway Traffic Safety Administration recently granted permission to deploy low-speed autonomous delivery vehicles (ADVs) on roadways. Although the mobility of ADVs is limited to low-speed roads and these vehicles are occupant less, frequent stops and mobility among residential neighborhoods cause safety-related concerns. There is cons
...
Das, S., Tsapakis, I., Elgart, Z., Elgart, Z., Kutela, B., Vierkant, V., & Li, E. (2022). Autonomous Delivery Vehicle as a Disruptive Technology: How To Shape the Future With a Focus on Safety? (Report No. 05-087). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/64569
Das, Subasish, Ioannis Tsapakis, Zachary Elgart, Zachary Elgart, Boniphace Kutela, Valerie Vierkant, and Eric Li. Autonomous Delivery Vehicle as a Disruptive Technology: How To Shape the Future With a Focus on Safety?. Report no. 05-087. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2022. https://rosap.ntl.bts.gov/view/dot/64569.
Das, Subasish, et al. Autonomous Delivery Vehicle as a Disruptive Technology: How To Shape the Future With a Focus on Safety?. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2022, Report no. 05-087, ROSA P. https://rosap.ntl.bts.gov/view/dot/64569.
The main goal of this research is to construct an online cooperative LC decision and planning model. The objectives of this project are to 1) conduct a comprehensive literature review on cooperative LC decisions and planning of CAVs; 2) focus on the trajectory optimization model from the perspective of multi-objectives including safety, stability,
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Fan, W., & Zhao, Y. (2022). Online Cooperative Lane-Changing Model of Connected and Autonomous Vehicles (Report No. CAMMSE-UNCC-2022-UTC-Project-03). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/64525
Fan, Wei and Yang Zhao. Online Cooperative Lane-Changing Model of Connected and Autonomous Vehicles. Report no. CAMMSE-UNCC-2022-UTC-Project-03. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2022. https://rosap.ntl.bts.gov/view/dot/64525.
Fan, Wei, and Yang Zhao Online Cooperative Lane-Changing Model of Connected and Autonomous Vehicles. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2022, Report no. CAMMSE-UNCC-2022-UTC-Project-03, ROSA P. https://rosap.ntl.bts.gov/view/dot/64525.
There is an existing issue in human-machine interaction, such that drivers of semi-autonomous vehicles are still required to take over control of the vehicle during system limitations. A possible solution may lie in tactile displays, which can present status, direction, and position information while avoiding sensory (e.g., visual and auditory) cha
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Martinez, K. D., & Huang, G. (2022). Exploring the Effects of Meaningful Tactile Display on Perception and Preference in Automated Vehicles (Report No. 22-42). San Jose State University. College of Business. Mineta Transportation Institute. https://rosap.ntl.bts.gov/view/dot/64686
Martinez, Kimberly D and Gaojian Huang. Exploring the Effects of Meaningful Tactile Display on Perception and Preference in Automated Vehicles. Report no. 22-42. San Jose State University. College of Business. Mineta Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/64686.
Martinez, Kimberly D, and Gaojian Huang Exploring the Effects of Meaningful Tactile Display on Perception and Preference in Automated Vehicles. San Jose State University. College of Business. Mineta Transportation Institute, 2022, Report no. 22-42, ROSA P. https://rosap.ntl.bts.gov/view/dot/64686.
Road congestion has been a major source of economic loss and environmental pollution in the transportation arena. There are different approaches developed by transportation professionals to mitigate this issue, to name a few, signal optimization, innovative intersection design, variable speed limit control, and ramp metering. These methods have bee
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Fan, W., & Liu, S. (2022). Evaluating and Comparing the Impact of Connected and Autonomous Vehicles on Conventional Intersections and Superstreets (Report No. CAMMSE-UNCC-2022-UTC-Project-01). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/64517
Fan, Wei and Shaojie Liu. Evaluating and Comparing the Impact of Connected and Autonomous Vehicles on Conventional Intersections and Superstreets. Report no. CAMMSE-UNCC-2022-UTC-Project-01. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2022. https://rosap.ntl.bts.gov/view/dot/64517.
Fan, Wei, and Shaojie Liu Evaluating and Comparing the Impact of Connected and Autonomous Vehicles on Conventional Intersections and Superstreets. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2022, Report no. CAMMSE-UNCC-2022-UTC-Project-01, ROSA P. https://rosap.ntl.bts.gov/view/dot/64517.
This study uses a survey collected in four metropolitan areas in the United States (Phoenix, Atlanta, Austin, and Tampa) to understand the attitudinal factors underlying men and women’s willingness to share rides on ridehailing services that use automated vehicles. The study uses a measurement model to classify the attitudinal measures into unobser
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Khoeini, S., Pendyala, R. M., Baker, D. S., & Salon, D. (2022). Investigating the Contributing Factors to Willingness to Share Automated Vehicles with Gender Focus. Center for Teaching Old Models New Tricks (TOMNET). https://rosap.ntl.bts.gov/view/dot/74110
Khoeini, Sara, Ram M. Pendyala, Denise S Baker, and Deborah Salon. Investigating the Contributing Factors to Willingness to Share Automated Vehicles with Gender Focus. Center for Teaching Old Models New Tricks (TOMNET), 2022. https://rosap.ntl.bts.gov/view/dot/74110.
Khoeini, Sara, et al. Investigating the Contributing Factors to Willingness to Share Automated Vehicles with Gender Focus. Center for Teaching Old Models New Tricks (TOMNET), 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/74110.
Autonomous Vehicles (AVs) are an important technology in the future of transportation systems. While attitudes and perceptions towards AV have been studied in the past, the role of different levels of AV familiarity in shaping relative attitudes and expected adoption has been underexplored. Using the TOMNET Transformative Technologies in Transporta
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Khoeini, S., Pendyala, R. M., Baker, D. S., Magassy, T. B., Stopher, P., & Batur, I. (2022). Interaction of Familiarity, Safety Perceptions, and Willingness to Use Autonomous Vehicles in a Structural Equation Modeling Framework. Center for Teaching Old Models New Tricks (TOMNET). https://rosap.ntl.bts.gov/view/dot/74108
Khoeini, Sara, Ram M. Pendyala, Denise S Baker, Tassio B Magassy, Peter Stopher, and Irfan Batur. Interaction of Familiarity, Safety Perceptions, and Willingness to Use Autonomous Vehicles in a Structural Equation Modeling Framework. Center for Teaching Old Models New Tricks (TOMNET), 2022. https://rosap.ntl.bts.gov/view/dot/74108.
Khoeini, Sara, et al. Interaction of Familiarity, Safety Perceptions, and Willingness to Use Autonomous Vehicles in a Structural Equation Modeling Framework. Center for Teaching Old Models New Tricks (TOMNET), 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/74108.
This study evaluates the traffic performance of two general TSPCV control strategies, namely actuated TSP with CV (connected vehicle) and optimized TSP with CV, and compares them with two conventional signal control strategies, i.e., actuated signal control without TSP, and actuated signal control with TSP. Simulation experiments based on a signali
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Fan, W., & Yang, T. (2022). Impact of Connected and Autonomous Vehicles on Signalized Intersections With Transit Signal Priority (Report No. CAMMSE-UNCC-2022-UTC-Project-04). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/64514
Fan, Wei and Tianjia Yang. Impact of Connected and Autonomous Vehicles on Signalized Intersections With Transit Signal Priority. Report no. CAMMSE-UNCC-2022-UTC-Project-04. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2022. https://rosap.ntl.bts.gov/view/dot/64514.
Fan, Wei, and Tianjia Yang Impact of Connected and Autonomous Vehicles on Signalized Intersections With Transit Signal Priority. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2022, Report no. CAMMSE-UNCC-2022-UTC-Project-04, ROSA P. https://rosap.ntl.bts.gov/view/dot/64514.
Horizontal curves can improve the safety and comfort of a ride for drivers and passengers by preventing a sharp turn from one direction to another. However, the role of curves in vehicle crashes and their safety impacts are underestimated due to the substantial number of curve-related crash misclassifications in CRIS. Therefore, there is an urgent
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Xu, Y., Han, Z., Murphy, M., & Zhang, Z. (2022). Development of an Automated Methodological Procedure To Improve the Identification of Curve-Related Crashes in the Crash Records Information System (CRIS) (Report No. FHWA/TX-22/0-7050-1). University of Texas at Austin. Center for Transportation Research. https://rosap.ntl.bts.gov/view/dot/64509
Xu, Yang, Zhe Han, Michael Murphy, and Zhanmin Zhang. Development of an Automated Methodological Procedure To Improve the Identification of Curve-Related Crashes in the Crash Records Information System (CRIS). Report no. FHWA/TX-22/0-7050-1. University of Texas at Austin. Center for Transportation Research, 2022. https://rosap.ntl.bts.gov/view/dot/64509.
Xu, Yang, et al. Development of an Automated Methodological Procedure To Improve the Identification of Curve-Related Crashes in the Crash Records Information System (CRIS). University of Texas at Austin. Center for Transportation Research, 2022, Report no. FHWA/TX-22/0-7050-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/64509.
With the advancement of automated vehicle technologies, it is critical to understand the knowledge gap among drivers on the limitations and safety restrictions of existing advanced driving assistance systems (ADAS), which contributes to dangerous driving habits and misjudgments. For example, some ADAS include adaptive cruise control, but many drive
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Rahman, M. A., & Mekker, M. (2022). Development of Educational Materials for the Public and First Responders on the Limitations of Advanced Driving Assistance Systems (Report No. UT-22.11). Utah Department of Transportation. https://rosap.ntl.bts.gov/view/dot/64860
Rahman, Md Ashikur and Michelle Mekker. Development of Educational Materials for the Public and First Responders on the Limitations of Advanced Driving Assistance Systems. Report no. UT-22.11. Utah Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/64860.
Rahman, Md Ashikur, and Michelle Mekker Development of Educational Materials for the Public and First Responders on the Limitations of Advanced Driving Assistance Systems. Utah Department of Transportation, 2022, Report no. UT-22.11, ROSA P. https://rosap.ntl.bts.gov/view/dot/64860.
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