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Autonomous Vehicles

rosaP Repository & Open Science Access Portal

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.

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Showing 61 - 80 of 844 results
  • RealTime Implementation Comparison of Urban EcoDriving Controls Brief
    Real-Time Implementation Comparison of Urban Eco-Driving Controls [Brief]
    Bradley, Thomas
    2024-09-01 | PDF
    Connected autonomous vehicle (CAV) technology has the potential to enable significant gains in energy economy (EE). Much research attention has been focused on autonomous eco-driving control enabled by various methods. In this study, the state of the literature on autonomous eco-driving control is reviewed, an overall system’s description of eco-dr ...
  • Dynamic Coordinated Speed Control and Synergistic Performance Evaluation in Connected and Automated Vehicle Environment
    Dynamic Coordinated Speed Control and Synergistic Performance Evaluation in Connected and Automated Vehicle Environment
    Fan, Wei ;
    Hua, Chengying
    2024-09-01 | PDF
    In the vicinity of weaving areas, freeway congestion is nearly unavoidable due to their negative effects on the continuous freeway mainline flow. The adverse impacts include increased collision risks, extended travel time, and excessive emissions and fuel consumption. Dynamic Speed Harmonization (DSH), which is also known as Variable Speed Limit (V ...
  • Transit Signal Priority Control With Connected Vehicle Technology Deep Reinforcement Learning Approach
    Transit Signal Priority Control With Connected Vehicle Technology: Deep Reinforcement Learning Approach
    Fan, Wei ;
    Yang, Tianjia
    2024-09-01 | PDF
    Transit Signal Priority (TSP) is a traffic signal control strategy that can provide priority to transit vehicles and thus improve transit service. However, this control strategy generally causes adverse effects on other traffic, which limits its widespread adoption. The development of Connected Vehicle (CV) technology enables the real-time acquisit ...
  • Investigation of Driver Adaptations in a Mixed Traffic Environment
    Investigation of Driver Adaptations in a Mixed Traffic Environment
    Kondyli, Alexandra ;
    Lane, Bradley W
    2024-09-01 | PDF
    This study investigates the impact of semi-automated vehicle (SAV) systems, specifically Adaptive Cruise Control (ACC), on driver behavior and control transitions (CT). The variations and adaptations in driver performance due to mental workload, influenced by factors such as task difficulty and driver awareness, are critical, especially under diffe ...
  • RealTime Implementation Comparison of Urban EcoDriving Controls
    Real-Time Implementation Comparison of Urban Eco-Driving Controls
    Rabinowitz, Aaron I ;
    Ang, Chon Chia
    2024-09-01 | PDF
    Connected autonomous vehicle (CAV) technology has the potential to enable significant gains in energy economy (EE). Much research attention has been focused on autonomous eco-driving control enabled by various methods. In this study, the state of the literature on autonomous eco-driving control is reviewed, an overall system’s description of eco-dr ...
  • Mobility Energy and Emissions Impacts of SAEVs to Disadvantaged Communities in California
    Mobility, Energy, and Emissions Impacts of SAEVs to Disadvantaged Communities in California
    Li, Xinwei ;
    Jenn, Alan
    2024-09-01 | PDF
    This study delves into the energy and emissions impacts of Shared Autonomous and Electric Vehicles (SAEVs) on disadvantaged communities in California. It explores the intersection of evolving transportation technologies—electric, autonomous, and shared mobility—and their implications for equity, energy consumption, and emissions. Through high-resol ...
  • Smart Green Equitable Safe Complete Streets for All Phase I Development of a CAV Testbedenhanced Smart Campus at Morgan State University
    Smart, Green, Equitable, Safe, Complete Streets for All - Phase I: Development of a CAV Testbed-enhanced Smart Campus at Morgan State University
    Jeihani, Mansoureh ;
    Yang, Di
    2024-09-01 | PDF
    This report aims to investigate and expand on five essential research areas related to connected and autonomous vehicle (CAV) testbeds and their contribution to enhancing road safety, especially for vulnerable road users. These areas include validating LiDAR data with CCTV systems, investigating CAV testbeds across the country, real-time communicat ...
  • Safety and Health Impacts of Mobility Alternatives Technology Transfer
    Safety and Health Impacts of Mobility Alternatives Technology Transfer
    Michalaka, Dimitra ;
    Brown, Kweku T
    2024-09-01 | PDF
    Technology transfer is a vital component of the U.S. DOT University Transportation Center (UTC) program, ensuring that research findings are communicated to practitioners, policymakers, educators, and the general public. By translating technical insights into accessible and actionable information, technology transfer supports the implementation of ...
  • ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models [IEEE ITSC 2024] [supporting dataset]
    Rajkumar, Ragunathan (Raj) ;
    Sahu, Nishad
    2024-09-01 | ZIP
    In this work, we introduce a dataset called DrivingContexts for the detection of relevant driving contexts for autonomous driving. Additionally, we propose the use of vision language models such as LLaVa and ViLT with zero-shot and few-shot approaches, to solve the problem of detecting such contexts. With our approach, we reduce the need for fully ...
    Dataset
  • Control of Connected and Autonomous Vehicles for Congestion Reduction in Mixed Traffic A LearningBased Approach
    Control of Connected and Autonomous Vehicles for Congestion Reduction in Mixed Traffic: A Learning-Based Approach
    Jiang, Zhong-Ping ;
    Ozbay, Kaan
    2024-09-01 | PDF
    Based on the traffic light prediction and trajectory optimization techniques for a stream of CAVs, the proposed congestion-reducing scheme can increase the throughput of the transportation network by attenuating the deceleration and acceleration of vehicles before the signalized intersections, accompanied by decreased fuel consumption and emissions ...
  • Traffic Light Prediction and Trajectory Planning for Congestion Reduction [supporting dataset]
    Jiang, Zhong-Ping ;
    Ozbay, Kaan
    2024-09-01 | ZIP
    Based on the traffic light prediction and trajectory optimization techniques for a stream of CAVs, the proposed congestion-reducing scheme can increase the throughput of the transportation network by attenuating the deceleration and acceleration of vehicles before the signalized intersections, accompanied by decreased fuel consumption and emissions ...
    Dataset Supporting Files
  • Data-Driven Combined Longitudinal and Lateral Control for the Car Following Problem [supporting dataset]
    Li, Xianning
    ORCID ICON IMG
    2024-09-01 | ZIP
    Based on the traffic light prediction and trajectory optimization techniques for a stream of CAVs, the proposed congestion-reducing scheme can increase the throughput of the transportation network by attenuating the deceleration and acceleration of vehicles before the signalized intersections, accompanied by decreased fuel consumption and emissions ...
    Dataset Supporting Files
  • SUMO Simulation, Validation Using Real-World Trajectory Data [supporting datasets]
    Jiang, Zhong-Ping ;
    Ozbay, Kaan
    2024-09-01 | ZIP
    Based on the traffic light prediction and trajectory optimization techniques for a stream of CAVs, the proposed congestion-reducing scheme can increase the throughput of the transportation network by attenuating the deceleration and acceleration of vehicles before the signalized intersections, accompanied by decreased fuel consumption and emissions ...
    Dataset Supporting Files
  • Implementation of Understanding the Impact of Autonomous Vehicles on LongDistance Travel Mode and Destination Choice in Texas
    Implementation of Understanding the Impact of Autonomous Vehicles on Long-Distance Travel Mode and Destination Choice in Texas
    Kockelman, Kara ;
    Vellimana, Maithreyi
    2024-08-01 | PDF
    Privately owned and shared autonomous vehicles (AVs and SAVs) and automated trucks (ATrucks) are coming to the US and Texas. This project updated TxDOT’s Statewide Analysis Model (SAM) to integrate AVs, SAVs, and ATrucks as added transportation modes. For passenger trips over 50 miles (one way), the nested logit model was modified to include househ ...
  • Mitigating Cascading Failures for Safety in Transportation Networks in the Era of Autonomous Vehicles
    Mitigating Cascading Failures for Safety in Transportation Networks in the Era of Autonomous Vehicles
    Yagan, Osman ;
    Joe-Wong, Carlee
    2024-08-01 | PDF
    Bridge collapses, road closures, disruptions in the public transportation system, and major issues caused by autonomous vehicles (AVs) are everyday realities of our transportation infrastructure that not only cause inconvenience to the public but also constitute a major safety concern. When a particular component of the transportation system fails ...
  • The PennSTART Safety Standards Project Current Safety Standards and Test Track Designs for Connected and Autonomous Vehicles
    The PennSTART Safety Standards Project: Current Safety Standards and Test Track Designs for Connected and Autonomous Vehicles
    Jiang, Elaine ;
    Krishnamurthy, Haarish Mummidi
    2024-08-01 | PDF
    The Pennsylvania Safety Transportation and Research Track (PennSTART) and the Connected Deployment Corridor aim to revolutionize the testing and deployment of emerging transportation technologies, such as autonomous (AVs) and electric vehicles (EVs). As we navigate this transformative period in transportation, the safety of these technologies remai ...
  • The Induced Demand Implications of Alternative Adoption Modalities of Automated Vehicles
    The Induced Demand Implications of Alternative Adoption Modalities of Automated Vehicles
    Batur, Irfan ;
    Pendyala, Ram M.
    2024-08-01 | PDF
    There is considerable concern about the induced demand implications of the advent of automated vehicles. In an automated vehicle future, drivers and passengers are relieved of the driving task, thus rendering car travel more convenient and less onerous. As such, there is the possibility that people will undertake more trips in an automated vehicle ...
  • Evaluating Autonomous Vehicles Safety Benefits in Mixed Autonomy Scenarios
    Evaluating Autonomous Vehicles’ Safety Benefits in Mixed Autonomy Scenarios
    Joe-Wong, Carlee ;
    Yağan, Osman
    2024-08-01 | PDF
    Connected autonomous vehicles (CAVs) are gradually advancing towards widespread deployments. CAVs promise to improve transportation safety by operating more efficiently and avoiding incidents like crashes due to human driver error. However, they may cause crashes or other safety incidents themselves, especially when interacting with humans. Our wor ...
  • Development of a Monitoring System for Driver Readiness in Prolonged Automated Driving
    Development of a Monitoring System for Driver Readiness in Prolonged Automated Driving
    Deb, Shuchisnigdha ;
    Kan, Chen
    2024-08-01 | PDF
    Fatal traffic crashes have increased significantly, largely due to human error, which automated vehicle technology aims to reduce. However, challenges such as driver fatigue and the need for quick intervention in case of system failures must be urgently addressed to ensure safety. This study aims to develop a driver fatigue monitoring system to det ...
  • Development of a CAV Testbedenhanced Smart Campus at Morgan State University Phase 1
    Development of a CAV Testbed-enhanced Smart Campus at Morgan State University – Phase 1
    Jeihani, Mansoureh ;
    Yang, Di
    2024-08-01 | PDF
    This report aims to investigate and expand on five essential research areas related to connected and autonomous vehicle (CAV) testbeds and their contribution to enhancing road safety, especially for vulnerable road users. These areas include validating LiDAR data with CCTV systems, investigating CAV testbeds across the country, real-time communicat ...
61 - 80 / 844