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.
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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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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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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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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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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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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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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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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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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The main objective of this research project is to enhance the accuracy of traffic speed prediction in ITS. The objectives of this project include: (1) Conducting a comprehensive review of traffic prediction techniques for CAVs. (2) Identifying a potential freeway segment and collecting the features of the selected scenario. (3) Developing and apply
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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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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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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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The Texas Connected Freight Corridors (TCFC) system is a connected vehicle (CV) environment that seeks to improve safety and mobility for the Texas Triangle, which consists of the Austin, Dallas/Fort Worth, Houston, San Antonio, and Laredo metropolitan regions, as seen in Figure 1.
Researchers simulated US transportation systems and forecasted the impacts of AVs and shared AVs (SAVs) on destination and mode choices of long-distance passenger and freight trips within the US, targeting a future 20+ years from now. They created demand sub-models for vehicle ownership, trip timing/scheduling and frequency, trip purpose and travel
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This study aims to investigate the effects of cooperative driving for two driving scenarios: non-signalized intersection (Fig 1) and freeway off-ramp. Multi-driver-in-the-loop co-simulation used for this research.
Cooperative driving powered by connected vehicle (CV) technology is expected to improve traffic safety and efficiency, especially at locations with dense vehicle interactions. Although lots of research have developed their cooperative driving algorithms for different locations, the effects of human drivers in the loop and multi-agent driving decisi
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The deployment of autonomous vehicle (AV) technologies may hold health and safety benefits for drivers across the driving lifespan (>18 years of age). However, up until now, the perceptions of such drivers about AVs have not been examined with a combined approach of using surveys and pre- and post-exposure to the actual technology. Lived experience
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The purpose of this proposal is to develop innovative reinforcement learning control methods for lane changing of connected and autonomous vehicles (CAVs) in mixed traffic. In the proposed framework, before the CAV changes to the target lane, it needs to predict most likely behavior of surrounding vehicles related to the lane change and then determ
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Studies from around the world have started investigating aspects of ATV simulation. However, these efforts are still in their infancy, and are constrained by the limited amount of real-world data to validate and calibrate the developed models. The existence of some work on this subject does not mean that the conducted research up to this point is s
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