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 project develops the main modules and algorithm models for the digital twin platform for a smart mobility testing ground currently under construction. LiDAR (Line Detection And Ranging)-sensor-based object detection and 3D infrastructure modeling modules are developed and tested in the project. The developed digital twin model is pilot tested
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United States. Committee on the Marine Transportation System (CMTS)
2021-12-01
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The U.S. Committee on the Marine Transportation System (CMTS) in partnership with the Transportation Research Board (TRB) held the Sixth Biennial Marine Innovative Science and Technology Conference, “Advancing the Maritime Transportation System through Automation and Autonomous Technology: Trends, Applications, and Challenges,” virtually on March 1
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Recently, 2D detection in images has made significant progress owing to the emergence of a convolutional neural network (CNN), which can extract high-level features from the images. However, detecting objects in 3D instead of 2D space is an essential topic when building perception systems for autonomous driving. An autonomous vehicle (AV) needs to
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Autonomous vehicles (AV) and advanced driver-assistance systems (ADAS) offer multiple safety benefits for drivers and road agencies. However, maintaining the lateral position of an AV or a vehicle with ADAS within a lane is a challenge, especially in adverse weather conditions when lane markings are occluded. For significant penetration of AV witho
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Automated Vehicles have been one of the most sought-after concepts to make transportation more effective and safer. No-occupant vehicles with automated driving systems (ADS) make up one such class of vehicles. These are primarily intended for goods transportation services. This vehicle class presents a body structure different than that of a passen
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This project proposes a modeling framework to integrate ride-sourcing services and connected/automated vehicles with transit to serve different users in an urban area. Multiple travel modes are considered for morning commute: single ride and shared ride in ride-sourcing, and integrated ride-sourcing (either single ride or shared ride) and transit.
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Rapidly evolving technology is changing the how and why of travel. The Alaska Department of Transportation and Public Facilities (DOT&PF) is preparing for these changes by developing a Connected and Automated Vehicle (CAV) Strategic Plan for the established Working Group, made up of stakeholders across Alaska. The CAV Strategic Plan centers on the
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This brief summarizes an evaluation of the Federal Highway Administration's (FHWA's) investment in the truck platooning research project titled "Assessing the Feasibility of Deploying Partial Automation for Truck Platooning." This research project included two complementary subprojects, titled "Partial Automation for Truck Platooning" (PATP) and "D
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Recent development of autonomous and connected trucks (ACT) has provided the freight industry with the option of using truck platooning to improve fuel efficiency, traffic throughput, and safety. However, closely spaced and longitudinally aligned trucks impose frequent and concentrated loading on pavements, which often accelerates pavement deterior
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As part of the City of Riverside’s Smart-City initiative, UC Riverside researchers have developed an Innovation Corridor testbed for enabling shared electric connected and automated transportation research. This Innovation Corridor testbed is located in Riverside California, and consists of a six-mile section of University Avenue between the UC Riv
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We sought to better understand how autonomous vehicle (AV) communication strategies impact human road users’ perceptions and behaviors. More specifically, we explored the impact of different external human-machine interface (eHMI) designs on understanding, task load, comfort, trust, acceptance, and reaction time. To accomplish this, we created virt
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We sought to better understand how autonomous vehicle (AV) communication strategies impact human road users’ perceptions and behaviors. More specifically, we explored the impact of different external human-machine interface (eHMI) designs on understanding, task load, comfort, trust, acceptance, and reaction time. To accomplish this, we created virt
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This study helps understand how the anticipated emergence of autonomous vehicles will affect various aspects of society and transportation, including travel demand, vehicle miles traveled, energy consumption, and emissions of greenhouse gases and other pollutants. The study begins with a literature review on connected and automated vehicle (CAV) te
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Previous work by the University of Florida and FDOT focused on the development of algorithms, software, and hardware solutions to enhance traffic signal control operations simultaneously with vehicle trajectories. These tests focused on the integration of the technology in a mixed traffic stream of autonomous, connected, and conventional vehicles.
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As part of the City of Riverside’s Smart-City initiative, UC Riverside researchers have developed an Innovation Corridor testbed for enabling shared electric connected and automated transportation research. This Innovation Corridor testbed is located in Riverside California, and consists of a six-mile section of University Avenue between the UC Riv
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LiDAR is an emerging technology that can provide detailed point-cloud measurements of objects. The purpose of this study is to investigate the use of LiDAR technology for accurate classification of trucks according to the established FHWA scheme along rural highway corridors as an alternative to in-pavement detector infrastructure - such as inducti
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Congestion has been becoming a critical issue for transportation professionals as it increases travel time, energy use and pollutant emissions. Thanks to recent technology development of wireless communication and artificial intelligence, connected and autonomous vehicles (CAVs) become a promising and practical approach to increasing road capacity.
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As transportation technology continues to evolve, Autonomous Vehicles (AV) have the potential to disrupt the way we travel and require adjustments to our traditional transportation operations mode choice models. As AV become more widely available and increase in market share, there are predictions that a significant portion of the AV fleet will be
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Connected and autonomous vehicle (CAV) technologies provide solutions to the existing problems of the transportation systems. As widely known, CAVs can communicate with each other so that they can have coordinated accelerating or decelerating movements. In this manner, CAVs only need a smaller headway which will lead to a higher roadway capacity. F
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The Autonomous Maintenance Technology Pooled Fund, TPF 5(380) contracted with All Clear Emergency Management Group to develop, facilitate, and evaluate a Pooled Fund wide tabletop exercise involving the Autonomous Traffic Mobile Attenuator (ATMA)/Autonomous Impact Protection Vehicle (AIPV) crash. The scope of this summary report includes the design
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