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.
Firstly, to guarantee stability and robustness in the face of parametric uncertainties, non-linearities, and modeling errors, we have proposed a data-driven optimal control algorithm to solve the lane-changing problem of AVs which is inspired by reinforcement learning and adaptive dynamic programming. Secondly, we have developed a lane change decis
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Driving intelligence test is critical to the development and deployment of autonomous vehicles. The prevailing approach tests autonomous vehicles in life-like simulations of the naturalistic driving environment. However, due to the high dimensionality of the environment and the rareness of safety-critical events, hundreds of millions of miles would
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Testing and evaluation is a critical step in the development and deployment of connected and automated vehicle (CAV) technology. Testing standards for human-driven vehicles, such as Federal Motor Vehicle Safety Standards (FMVSS), were established a longtime ago. However, current standards cannot be applied to CAVs, because they often assume the pre
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Reliable, lane-level, absolute position determination for connected and automated vehicles (CAV’s) is near at hand due to advances in sensor and computing technology. These capabilities in conjunction with high-definition maps enable lane determination, per lane queue determination, and enhanced performance in applications. This project investigate
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Automated, connected, electric, and shared (ACES) technologies are rapidly evolving and will continue to impact the development of vehicles, infrastructure, communities, commerce, and the economy. Based on the Florida ACES transportation system roadmap for Florida developed in Phase I, this project aimed to engage with private industries to leverag
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NEC developed a Video Analytics implementation for traffic intersections using 5G technology. This implementation included both hardware infrastructure and software applications supporting 5G communications, which allows low latency and secure communications. The Virginia Tech Transportation Institute (VTTI) worked with NEC to facilitate the usage
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In this project, we developed an integrated solution for autonomous vehicle testing, in which the naturalistic driving environment (NDE) is combined with the augmented reality (AR) testing system. The integrated solution is implemented at American Center for Mobility (ACM). With the NDE, realistic virtual traffic flow can be generated in the testin
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The objective of this methodology is to refine the preliminary results from previous work (11% fuel savings for one vehicle, one intersection) to an entire corridor of SPaT signals, with different CV market penetration, and with driver awareness of fuel savings benefits. The research will proceed in three parts. First, several vehicles will be inst
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The goal of this project was to explore the fuel efficiencies of SPaT broadcasts interacting with CVs to control speed along connected corridors. The findings from this investigation could then be used to inform possible future SPaT deployments.
Surface transportation systems (e.g., arterial roadways with signalized intersections) are inherently inefficient, particularly at higher traffic volumes. In general, both the infrastructure (e.g., traffic signals) and the vehicles operate independently, with little coordination between them. Previous research has shown that implementing strategies
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Age-related macular degeneration is a leading cause of blindness worldwide and is one of many limitations to independent driving among old adults. Highly autonomous vehicles present a prospective solution for those who are no longer capable of driving due to low vision. However, accessibility issues must be addressed to create a safe and pleasant e
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The many potentially transformative changes to the transportation system, such as automated vehicles, electric vehicle adoption, increased telework, and new travel modes, are creating increasing uncertainties for the future. These uncertainties call for fast, flexible models. System dynamics (SD) is emerging as a research modeling focus area for ch
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"The Center for Transportation Research at the University of Texas-Austin recently completed a project that compared automated vehicle performance and human driving behavior in several virtual highway and urban environment scenarios. The research team then analyzed the safety, mobility, and human-factors results to draw conclusions and formulate te
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This project assesses how Texas roadway and parking infrastructure should evolve as connected and automated vehicles (CAVs) gain market share, using behavioral-diffusion insights to frame adoption scenarios. Researchers combined literature synthesis with expert questionnaires/interviews, analysis of AV disengagement reports, and PTV Vissim microsim
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With the expected arrival of autonomous vehicles, and the ever-increasing levels of automation in today’s human driven vehicles, road safety is changing at a rapid pace. This project aimed to address the need for an efficient and rapid method of safety evaluation and countermeasure identification via traffic encounters, specifically traffic conflic
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The development of Autonomous vehicles (AVs) has brought many opportunities but implementing AV-based public transportation services has numerous unforeseen issues. One primary research gap is that existing studies on AV transit systems consist of predictions and speculation without actual cases and data support. Another issue is that a measurement
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Traffic simulation is an important tool that can assist researchers, analysts, and policymakers in testing vehicle/traffic control algorithms, gaining insights into micro/macro traffic dynamics, and designing traffic management strategies. However, different implementations require different simulation scales, and no multiscale simulation platform
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Shared-use mobility services such as ride sourcing, bike sharing, and carsharing have been introduced in a few rural communities and a fair number of small-urban communities. Input about the interest and potential willingness to use these services, and adoption of various emerging vehicle technologies, could help improve understanding and planning
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An EasyMile EZ10 low speed autonomous vehicle (LSAV) was deployed on a route between the Virginia Tech Transportation Institute campus and a nearby bus transit stop to study prospective user attitudes and acceptance regarding trust in technology, system safety, and personal security. The LSAV operated on this route within normal travel lanes and in
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Autonomous vehicles have a huge potential to improve transportation systems by increasing roadway capacity, safety, accessibility and reducing pollution, congestion. This emerging technology promises safer, efficient roadways and can help reduce pollution. For the various levels of autonomy to be deployed into the real world safely and efficiently,
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