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.
This study compares the operational and policy-related data from 120 autonomous shuttle deployments worldwide. Additionally, an analysis was conducted to identify the strengths, weaknesses, opportunities, and threats associated with autonomous shuttle deployments. The study also comprehensively analyzes the perceptions of practitioners and industry
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Diba, D. S., Gore, N., & Pulugurtha, S. S. (2023). Autonomous Shuttle Implementation and Best Practices [Research Brief] (Report No. 2321). Mineta Transportation Institute. https://rosap.ntl.bts.gov/view/dot/73206
Diba, Dil Samina, Ninad Gore, and Srinivas S. Pulugurtha. Autonomous Shuttle Implementation and Best Practices [Research Brief]. Report no. 2321. Mineta Transportation Institute, 2023. https://rosap.ntl.bts.gov/view/dot/73206.
Diba, Dil Samina, et al. Autonomous Shuttle Implementation and Best Practices [Research Brief]. Mineta Transportation Institute, 2023, Report no. 2321, ROSA P. https://rosap.ntl.bts.gov/view/dot/73206.
To help mitigate road fatalities due to human error, transportation stakeholders are turning to advanced driver assistance systems and autonomous vehicle (AV) development. However, the stakeholders continue to seek assurance of the safety performance of this new technology. This is often done using simulation testing of AV sensors and other platfor
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Saka, Z. A., & Labi, S. (2023). Investigation of AV Operational Issues Using Simulation Equipment (Report No. Report No. 34). Center for Connected and Automated Transportation. Purdue University. http://dx.doi.org/10.5703/1288284317737
Saka, Zainab A and Samuel Labi. Investigation of AV Operational Issues Using Simulation Equipment. Report no. Report No. 34. Center for Connected and Automated Transportation. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317737.
Saka, Zainab A, and Samuel Labi Investigation of AV Operational Issues Using Simulation Equipment. Center for Connected and Automated Transportation. Purdue University, 2023, Report no. Report No. 34, ROSA P. http://dx.doi.org/10.5703/1288284317737.
Most road fatalities are caused by human error. To help mitigate this issue and enhance overall transportation safety, companies are turning to advanced driver assistance systems and autonomous vehicle development. Perception, a key module of these systems, mostly uses light detection and ranging (LiDAR) sensors and enables object detection and env
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In an ever-evolving world characterized by environmental challenges and technological advancements, the confluence of natural disasters, particularly increasing wildfire threats, and the role of connected and autonomous vehicles (CAVs) stands as a critical focal point for research and innovation. This study embarks on a comprehensive exploration of
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Lu, P., Huang, Y., Ali, A., Ahmad, S., Yang, X., Ren, Y., & Ahmed, H. U. (2023). Regional Emergency Evacuation Analysis in Traffic With Connected and Autonomous Vehicles (Report No. MPC-685;MPC 23-509). Mountain-Plains Consortium. https://rosap.ntl.bts.gov/view/dot/73131
Lu, Pan, Ying Huang, Asad Ali, Salman Ahmad, Xinyi Yang, Yihao Ren, and Hafiz Usman Ahmed. Regional Emergency Evacuation Analysis in Traffic With Connected and Autonomous Vehicles. Report no. MPC-685;MPC 23-509. Mountain-Plains Consortium, 2023. https://rosap.ntl.bts.gov/view/dot/73131.
Lu, Pan, et al. Regional Emergency Evacuation Analysis in Traffic With Connected and Autonomous Vehicles. Mountain-Plains Consortium, 2023, Report no. MPC-685;MPC 23-509, ROSA P. https://rosap.ntl.bts.gov/view/dot/73131.
When, where, and how autonomous shuttles are deployed can have significant safety, economic, and policy impacts on their operation and performance. This research analyzes data related to 120 existing deployments of autonomous shuttles, looking at safety, operational, economic, and policy-related issues. Analysis shows that autonomous shuttles would
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Diba, D. S., Gore, N., & Pulugurtha, S. S. (2023). Autonomous Shuttle Implementation and Best Practices (Report No. 23-33;CA-MTI-2321). Mineta Transportation Institute. https://doi.org/10.31979/mti.2023.2321
Diba, Dil Samina, Ninad Gore, and Srinivas S. Pulugurtha. Autonomous Shuttle Implementation and Best Practices. Report no. 23-33;CA-MTI-2321. Mineta Transportation Institute, 2023. https://doi.org/10.31979/mti.2023.2321.
Diba, Dil Samina, et al. Autonomous Shuttle Implementation and Best Practices. Mineta Transportation Institute, 2023, Report no. 23-33;CA-MTI-2321, ROSA P. https://doi.org/10.31979/mti.2023.2321.
When, where, and how autonomous shuttles are deployed can have significant safety, economic, and policy impacts on their operation and performance. This research analyzes data related to 120 existing deployments of autonomous shuttles, looking at safety, operational, economic, and policy-related issues. Analysis shows that autonomous shuttles would
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Dataset
Diba, D. S., Gore, N., & Pulugurtha, S. S. (2023). Autonomous Shuttle Implementation and Best Practices [supporting dataset] (Report No. 23-33;CA-MTI-2321). Mineta Transportation Institute. https://doi.org/10.31979/mti.2023.2321
Diba, Dil Samina, Ninad Gore, and Srinivas S. Pulugurtha. Autonomous Shuttle Implementation and Best Practices [supporting dataset]. Report no. 23-33;CA-MTI-2321. Mineta Transportation Institute, 2023. https://doi.org/10.31979/mti.2023.2321.
Diba, Dil Samina, et al. Autonomous Shuttle Implementation and Best Practices [supporting dataset]. Mineta Transportation Institute, 2023, Report no. 23-33;CA-MTI-2321, ROSA P. https://doi.org/10.31979/mti.2023.2321.
United States. Department of Transportation. National Highway Traffic Safety Administration. Office of Behavioral Safety Research
2023-12-01
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PDF
This PowerPoint slide was created to explore a new method to get summary information across to a non-technical audience. The slide is intended to be used in presentations on child restraint use when giving an overview of the topic.
United States. Department of Transportation. National Highway Traffic Safety Administration. Office of Behavioral Safety Research (2023). Child Passenger Safety Perception and Practices in Ride-Sharing Vehicles [PowerPoint Presentation]. United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/72944
United States. Department of Transportation. National Highway Traffic Safety Administration. Office of Behavioral Safety Research. Child Passenger Safety Perception and Practices in Ride-Sharing Vehicles [PowerPoint Presentation]. United States. Department of Transportation. National Highway Traffic Safety Administration, 2023. https://rosap.ntl.bts.gov/view/dot/72944.
United States. Department of Transportation. National Highway Traffic Safety Administration. Office of Behavioral Safety Research Child Passenger Safety Perception and Practices in Ride-Sharing Vehicles [PowerPoint Presentation]. United States. Department of Transportation. National Highway Traffic Safety Administration, 2023, ROSA P. https://rosap.ntl.bts.gov/view/dot/72944.
United States. Department of Transportation. Federal Highway Administration
2023-12-01
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Manual on Uniform Traffic Control Devices for Streets and Highways
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PDF
The purpose of the Manual on Uniform Traffic Control Devices (MUTCD) is to establish uniform national criteria for the use of traffic control devices that meet the needs and expectancy of road users on all streets, highways, pedestrian and bicycle facilities, and site roadways open to public travel. There are nine parts to this manual: (1) General,
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United States. Department of Transportation. Federal Highway Administration (2023). Manual on Uniform Traffic Control Devices for Streets and Highways [11th Edition]. United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/73253
United States. Department of Transportation. Federal Highway Administration. Manual on Uniform Traffic Control Devices for Streets and Highways [11th Edition]. United States. Department of Transportation. Federal Highway Administration, 2023. https://rosap.ntl.bts.gov/view/dot/73253.
United States. Department of Transportation. Federal Highway Administration Manual on Uniform Traffic Control Devices for Streets and Highways [11th Edition]. United States. Department of Transportation. Federal Highway Administration, 2023, ROSA P. https://rosap.ntl.bts.gov/view/dot/73253.
GPS/GNSS systems have been a very critical element to the operation of various modern vehicles as knowing the position of vehicles is very important for many reasons, such as the safety of the vehicles. As an example, the precise GNSS positioning requires receiving clear signals from many satellites over the sky for an automobile at any given locat
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Lee, T. H. (2023). RF and Antenna Threats, Risks, and Mitigations for GNSS Receivers (Report No. CARMEN UTC Project 4). Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN+) Tier-1 University Transportation Center (UTC). https://doi.org/10.5281/zenodo.10380893
Lee, Teh-Hong. RF and Antenna Threats, Risks, and Mitigations for GNSS Receivers. Report no. CARMEN UTC Project 4. Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN+) Tier-1 University Transportation Center (UTC), 2023. https://doi.org/10.5281/zenodo.10380893.
Lee, Teh-Hong RF and Antenna Threats, Risks, and Mitigations for GNSS Receivers. Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN+) Tier-1 University Transportation Center (UTC), 2023, Report no. CARMEN UTC Project 4, ROSA P. https://doi.org/10.5281/zenodo.10380893.
This document serves as a comprehensive guide on how to use the SAM AV Module within the context of the 5-7081-01 implementation project. This module is a variation SAM-V4 model (Statewide Analysis Model) modified to include autonomous vehicles (AVs), shared autonomous vehicles (SAVs) and autonomous trucks (ATrucks). This project introduces autonom
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Kockelman, K., Vellimana, M., & Paithankar, P. (2023). User’s Guide for SAM AV Module: Guide for the Texas Statewide Analysis Model with Autonomous Vehicles, Shared-Autonomous Vehicles & Autonomous Trucks (Report No. 5-7081 P1). Texas. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/76659
Kockelman, Kara, Maithreyi Vellimana, and Priyanka Paithankar. User’s Guide for SAM AV Module: Guide for the Texas Statewide Analysis Model with Autonomous Vehicles, Shared-Autonomous Vehicles & Autonomous Trucks. Report no. 5-7081 P1. Texas. Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/76659.
Kockelman, Kara, et al. User’s Guide for SAM AV Module: Guide for the Texas Statewide Analysis Model with Autonomous Vehicles, Shared-Autonomous Vehicles & Autonomous Trucks. Texas. Department of Transportation, 2023, Report no. 5-7081 P1, ROSA P. https://rosap.ntl.bts.gov/view/dot/76659.
In GNSS-degraded environments, whether the degrada6on is naturally occurring (e.g., in deep urban canyons) or inten6onal (e.g., in the presence of a jammer or a spoofer), ambient radio frequency (RF) signals can be exploited as an alterna6ve posi6oning, naviga6on, and 6ming (PNT) source. These signals are commonly referred to as signals of opportun
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Kassas, Z. (2023). PNT With Signals of Opportunity and Real-World Jammed and Spoofed Environments. Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN+) Tier-1 University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/72823
Kassas, Zak. PNT With Signals of Opportunity and Real-World Jammed and Spoofed Environments. Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN+) Tier-1 University Transportation Center (UTC), 2023. https://rosap.ntl.bts.gov/view/dot/72823.
Kassas, Zak PNT With Signals of Opportunity and Real-World Jammed and Spoofed Environments. Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN+) Tier-1 University Transportation Center (UTC), 2023, ROSA P. https://rosap.ntl.bts.gov/view/dot/72823.
Integrating Autonomous Cars and Trucks into TxDOT's Statewide Analysis Model Training Webinar Nov 29, 2023.
Kockelman, K., Vellimana, M., Paithankar, P., & Mori, K. (2023). Integrating Autonomous Cars & Trucks into TxDOT’s Statewide Analysis Model [Training Webinar: Nov 29, 2023]. University of Texas at Austin. Center for Transportation Research. https://rosap.ntl.bts.gov/view/dot/76666
Kockelman, Kara, Maithreyi Vellimana, Priyanka Paithankar, and Kentaro Mori. Integrating Autonomous Cars & Trucks into TxDOT’s Statewide Analysis Model [Training Webinar: Nov 29, 2023]. University of Texas at Austin. Center for Transportation Research, 2023. https://rosap.ntl.bts.gov/view/dot/76666.
Kockelman, Kara, et al. Integrating Autonomous Cars & Trucks into TxDOT’s Statewide Analysis Model [Training Webinar: Nov 29, 2023]. University of Texas at Austin. Center for Transportation Research, 2023, ROSA P. https://rosap.ntl.bts.gov/view/dot/76666.
Highly automated transportation systems rely on a steady stream of signals and information from external sources for localization, route planning, perception, and general situational awareness. This includes reliance on positioning, navigation, and timing (PNT) information: Location is essential autonomous navigation and planning; and accurate timi
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Humphreys, T. E., Chen, Q. A., Ozguner, U., & Toth, C. (2023). Resilience and Validation of GNSS PNT Solutions. Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN+) Tier-1 University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/72661
Humphreys, Todd E., Qi Alfred Chen, Umit Ozguner, and Charles Toth. Resilience and Validation of GNSS PNT Solutions. Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN+) Tier-1 University Transportation Center (UTC), 2023. https://rosap.ntl.bts.gov/view/dot/72661.
Humphreys, Todd E., et al. Resilience and Validation of GNSS PNT Solutions. Center for Automated Vehicles Research with Multimodal Assured Navigation (CARMEN+) Tier-1 University Transportation Center (UTC), 2023, ROSA P. https://rosap.ntl.bts.gov/view/dot/72661.
The emerging field of Advanced Air Mobility (AAM) presents myriad opportunities for disrupting traditional modes of transport, including passenger travel to cargo logistics. However, its path to full-scale adoption is fraught with regulatory, market, and logistical challenges. This report presents a nuanced understanding of AAM's complexities and i
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Bridgelall, R., & Tolliver, D. (2023). Autonomous Aircraft: Challenges and Opportunities (Report No. MPC-666). Mountain-Plains Consortium. https://rosap.ntl.bts.gov/view/dot/72546
Bridgelall, Raj and Denver Tolliver. Autonomous Aircraft: Challenges and Opportunities. Report no. MPC-666. Mountain-Plains Consortium, 2023. https://rosap.ntl.bts.gov/view/dot/72546.
Bridgelall, Raj, and Denver Tolliver Autonomous Aircraft: Challenges and Opportunities. Mountain-Plains Consortium, 2023, Report no. MPC-666, ROSA P. https://rosap.ntl.bts.gov/view/dot/72546.
Numerous demonstrations and deployments of automated shuttles and buses are occurring in downtown areas, university campuses, business and medical parks, and entertainment complexes throughout the United States. This research project focused on ensuring that individuals with disabilities have equal and safe access to automated shuttles and buses to
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Turnbull, K. F., Higgins, L., & Gick, B. N. (2023). Automated Shuttles and Buses for All Users (Report No. 05-093). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/73309
Turnbull, Katherine F., Laura Higgins, and Brittney N Gick. Automated Shuttles and Buses for All Users. Report no. 05-093. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2023. https://rosap.ntl.bts.gov/view/dot/73309.
Turnbull, Katherine F., et al. Automated Shuttles and Buses for All Users. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2023, Report no. 05-093, ROSA P. https://rosap.ntl.bts.gov/view/dot/73309.
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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Greatbatch, R., Dunn, N. J., Kim, H., & Krasner, A. (2023). Guiding Driver Responses During Manual Takeovers from Automated Vehicles (Report No. VTTI-00-026). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/73246
Greatbatch, Richard, Naomi J. Dunn, Hyungil Kim, and Alexander Krasner. Guiding Driver Responses During Manual Takeovers from Automated Vehicles. Report no. VTTI-00-026. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2023. https://rosap.ntl.bts.gov/view/dot/73246.
Greatbatch, Richard, et al. Guiding Driver Responses During Manual Takeovers from Automated Vehicles. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2023, Report no. VTTI-00-026, ROSA P. https://rosap.ntl.bts.gov/view/dot/73246.
Cost-effective ways to obtain and distribute traffic data, and thereby, to facilitate operations decisions. This includes a need to make Signal Phase and Timing (SPaT) and MAP data more useful to traffic data end-users. Existing data collection and delivery methods are time consuming and costly. Therefore, to facilitate traffic operations in the cu
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Gowda, M., Fehr, W., Balmos, A., Ajagu, R., Krogmeier, J. V., Abbas, M., & Labi, S. (2023). Economical Acquisition of Intersection Data to Facilitate CAV Operations (Report No. 71). Center for Connected and Automated Transportation. Purdue University. http://dx.doi.org/10.5703/1288284317731
Gowda, Manish, Walt Fehr, Andrew Balmos, Richard Ajagu, James V. Krogmeier, Montasir Abbas, and Samuel Labi. Economical Acquisition of Intersection Data to Facilitate CAV Operations. Report no. 71. Center for Connected and Automated Transportation. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317731.
Gowda, Manish, et al. Economical Acquisition of Intersection Data to Facilitate CAV Operations. Center for Connected and Automated Transportation. Purdue University, 2023, Report no. 71, ROSA P. http://dx.doi.org/10.5703/1288284317731.
Since 1995, several countries and states have implemented roadway traffic safety projects with the goal of achieving a highway system with no fatal or serious injury crashes. South Carolina’s Target Zero plan is multifaceted in that it identifies several preventative measures to reduce fatalities. A common thread of these programs is that they are
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Sarasua, W., Michalaka, D., Murray-Tuite, P., Brown, K., Ogle, J. H., Davis, W. J., & Kohneh, J. N. (2023). Potential Reduction of Fatal Crashes in South Carolina Due to Connected and Automated Vehicles. Center for Connected Multimodal Mobility, Clemson University. https://rosap.ntl.bts.gov/view/dot/73806
Sarasua, Wayne, Dimitra Michalaka, Pamela Murray-Tuite, Kweku Brown, Jennifer H Ogle, William J. Davis, and Jamal Nahofti Kohneh. Potential Reduction of Fatal Crashes in South Carolina Due to Connected and Automated Vehicles. Center for Connected Multimodal Mobility, Clemson University, 2023. https://rosap.ntl.bts.gov/view/dot/73806.
Sarasua, Wayne, et al. Potential Reduction of Fatal Crashes in South Carolina Due to Connected and Automated Vehicles. Center for Connected Multimodal Mobility, Clemson University, 2023, ROSA P. https://rosap.ntl.bts.gov/view/dot/73806.
The emerging field of Advanced Air Mobility (AAM) presents myriad opportunities for disrupting traditional modes of transport, including passenger travel to cargo logistics. However, its path to full-scale adoption is fraught with regulatory, market, and logistical challenges. This report presents a nuanced understanding of AAM's complexities and i
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Bridgelall, R., & Tolliver, D. (2023). Autonomous Aircraft: Challenges and Opportunities [Brief]. Mountain-Plains Consortium. https://rosap.ntl.bts.gov/view/dot/72612
Bridgelall, Raj and Denver Tolliver. Autonomous Aircraft: Challenges and Opportunities [Brief]. Mountain-Plains Consortium, 2023. https://rosap.ntl.bts.gov/view/dot/72612.
Bridgelall, Raj, and Denver Tolliver Autonomous Aircraft: Challenges and Opportunities [Brief]. Mountain-Plains Consortium, 2023, ROSA P. https://rosap.ntl.bts.gov/view/dot/72612.
Safely introducing autonomy to trucks requires monitoring their brake systems continuously. Out-of-adjustment push rods and leakages in the air brake system are two major reasons for increased braking distances in trucks, resulting in safety violations. Air leakages can occur due to small cracks or loose/improperly fit couplings, which do not affec
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Darbha, S., & Rajagopal, K. (2023). A Diagnostic Machine Learning Model for Air Brake Systems in Commercial Vehicles (Report No. 04-100). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://rosap.ntl.bts.gov/view/dot/73248
Darbha, Swaroop and Kumbakonam Rajagopal. A Diagnostic Machine Learning Model for Air Brake Systems in Commercial Vehicles. Report no. 04-100. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2023. https://rosap.ntl.bts.gov/view/dot/73248.
Darbha, Swaroop, and Kumbakonam Rajagopal A Diagnostic Machine Learning Model for Air Brake Systems in Commercial Vehicles. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2023, Report no. 04-100, ROSA P. https://rosap.ntl.bts.gov/view/dot/73248.
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