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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 281 - 300 of 854 results
  • Impact of Connected and Autonomous Vehicles on Signalized Intersections With Transit Signal Priority
    Impact of Connected and Autonomous Vehicles on Signalized Intersections With Transit Signal Priority
    Fan, Wei ;
    Yang, Tianjia
    2022-09-01 | PDF
    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 ...
  • Development of an Automated Methodological Procedure To Improve the Identification of CurveRelated Crashes in the Crash Records Information System CRIS
    Development of an Automated Methodological Procedure To Improve the Identification of Curve-Related Crashes in the Crash Records Information System (CRIS)
    Xu, Yang ;
    Han, Zhe
    2022-09-01 | PDF
    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 ...
  • Development of Educational Materials for the Public and First Responders on the Limitations of Advanced Driving Assistance Systems
    Development of Educational Materials for the Public and First Responders on the Limitations of Advanced Driving Assistance Systems
    Rahman, Md Ashikur ;
    Mekker, Michelle
    2022-09-01 | PDF
    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 ...
  • Expand Applications for Texas Connected Freight Corridors Summary
    Expand Applications for Texas Connected Freight Corridors {Summary]
    Wood, Nick
    2022-08-31 | PDF
    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.
  • Understanding the Impact of Autonomous Vehicles on LongDistance Passenger and Freight Travel in Texas Project Summary
    Understanding the Impact of Autonomous Vehicles on Long-Distance Passenger and Freight Travel in Texas: Project Summary
    Kockelman, Kara ;
    Fakhrmoosavi, Fatemeh
    2022-08-31 | PDF
    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 ...
  • Investigating the Effects of Cooperative Driving for CAVs in Different Driving Scenarios Using MultiDriver Simulator Experiments Summary Report
    Investigating the Effects of Cooperative Driving for CAVs in Different Driving Scenarios Using Multi-Driver Simulator Experiments [Summary Report]
    Yue, Lishengsa ;
    Abdel-Aty, Mohamed
    2022-08-30 | PDF
    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.
  • Investigating the Effects of Cooperative Driving for CAVs in Different Driving Scenarios Using MultiDriver Simulator Experiments
    Investigating the Effects of Cooperative Driving for CAVs in Different Driving Scenarios Using Multi-Driver Simulator Experiments
    Yue, Lishengsa ;
    Abdel-Aty, Mohamed
    2022-08-29 | PDF
    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 ...
  • UF UABs Phase II Demonstration Study Developing a Model to Support Transportation System Decisions Considering the Experiences of Drivers of All Age Groups with Autonomous Vehicle Technology Project A3
    UF & UAB’s Phase II Demonstration Study: Developing a Model to Support Transportation System Decisions Considering the Experiences of Drivers of All Age Groups with Autonomous Vehicle Technology (Project A3)
    Classen, Sherrilene ;
    Sisiopiku, Virginia P.
    2022-08-10 | PDF
    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 ...
  • Lane Changing of Autonomous Vehicles in Mixed Traffic Environments: A Reinforcement Learning Approach [Supporting Dataset]
    Jiang, Zhong-Ping ;
    Ozbay, Kaan
    2022-08-10 | ZIP
    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 ...
    Dataset
  • Utilization of Connectivity and Automation in Support of Transportation Agencies Decision Making
    Utilization of Connectivity and Automation in Support of Transportation Agencies’ Decision Making
    Hadi, Mohammed ;
    Elefteriadou, Lily
    2022-08-02 | PDF
    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 ...
  • Modeling Impact of Weather Conditions on 5G Communication and Mitigation Measures on Control of Automated Intersections
    Modeling Impact of Weather Conditions on 5G Communication and Mitigation Measures on Control of Automated Intersections
    Abuhdima, Esmail ;
    Comert, Gurcan
    2022-08-01 | PDF
    Recent research activities are focused on improving Vehicle-to-Vehicle Communication (V2V) based on the 5G Technology. V2V applications are important because they are expected to reduce the risk of accidents up to 80%, enhance traffic management, mitigate congestion, and optimize fuel consumption. Typical autonomous vehicle applications require a h ...
  • Policies and Design Guidelines To Plan for Connected and Autonomous Vehicles
    Policies and Design Guidelines To Plan for Connected and Autonomous Vehicles
    Benkraouda, Ouafa ;
    Braun, Lindsay Maurer
    2022-08-01 | PDF
    This report chronicles the work undertaken by researchers at the University of Illinois Urbana Champaign to identify policies and design guidelines to plan for connected and autonomous vehicles (CAVs) in mid-sized regions in Illinois. The report starts with the goals of this work followed by a review of existing literature. The review addresses CAV ...
  • Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub
    Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub
    Di, Xuan ;
    Jin, Peter
    2022-08-01 | PDF
    With the accelerated deployment of connected and automated vehicle (CAV) technologies, public agencies have urgent needs on how to utilize these rich data sources of CAVs to improve traffic mobility, safety, and environmental and energy impact. This research will tackle one of the big data challenges, which is mining driving behavior patterns using ...
  • Effect of Connected and Autonomous Vehicles on Supply Chain Performance
    Effect of Connected and Autonomous Vehicles on Supply Chain Performance
    Lee, Ji Yun ;
    Zhao, Jie
    2022-08-01 | PDF
    Connected and autonomous vehicles (CAVs) are an emerging technology that has great potential for increasing road capacity and reducing traffic incidents, congestion, fuel/energy consumption as well as emission, all of which may support safer and more reliable and efficient (and potentially sustainable) transportation systems. Given that transportat ...
  • Simulating Life with PersonallyOwned Autonomous Vehicles through a Naturalistic Experiment with Personal Drivers
    Simulating Life with Personally-Owned Autonomous Vehicles through a Naturalistic Experiment with Personal Drivers
    Harb, Mustapha ;
    Malik, Jai
    2022-08-01 | PDF
    Forty-three households in the Sacramento region representing diverse demographics, modal preferences, mobility barriers, and weekly vehicle miles traveled (VMT) were provided personal chauffeurs for one or two weeks to simulate travel behavior with a personally-owned, fully autonomous vehicle (AV). During the chauffeur week(s), the total number of ...
  • Can Automated Vehicles See in Minnesota Ambient Particle Effects on LiDAR
    Can Automated Vehicles "See" in Minnesota? Ambient Particle Effects on LiDAR
    Northrop, William ;
    Zhan, Lu
    2022-08-01 | PDF
    This project will use a combination of laboratory experimentation and road demonstrations to better understand the reduction of LiDAR signal and object detection capability under adverse weather conditions found in Minnesota. It will also lead to concepts to improve LiDAR systems to adapt to such conditions through better signal processing image re ...
  • Automated Track Centerline Following for Drone Flight Automation Research Results
    Automated Track Centerline Following for Drone Flight Automation [Research Results]
    Stuart, Cameron ;
    Doran, Joshua
    2022-08-01 | PDF
    VisioStack Inc. completed initial research to automate drone inspection flights over railroad track using real-time rail detection and track centerline following to simulate flight control without Global Positioning System (GPS) information. Uncrewed Aerial Systems (UAS, or drones) are platforms that may enable more frequent and safer track inspect ...
  • Understanding the Impact of Autonomous Vehicles on LongDistance Passenger and Freight Travel in Texas Final Report
    Understanding the Impact of Autonomous Vehicles on Long-Distance Passenger and Freight Travel in Texas: Final Report
    Kockelman, Kara ;
    Huang, Yantao
    2022-08-01 | PDF
    In efforts to predict the long-distance travel impacts (for passengers and freight) of self-driving cars and trucks across Texas and the US, researchers estimated models for long-distance domestic passenger and freight trips before and after the introduction of autonomous vehicles (AVs) and applied the passenger models to a 10%synthetic US populati ...
  • Analyzing the Impact of Autonomous Maintenance Technology to Transportation Infrastructure Capacity for Condition Monitoring and Performance Management
    Analyzing the Impact of Autonomous Maintenance Technology to Transportation Infrastructure Capacity for Condition Monitoring and Performance Management
    Hu, Xianbiao ;
    Tang, Qing
    2022-07-29 | PDF
    Work zones are critical for efficient and safe operation of a highway transportation system. Performing the maintenance required for a roadway infrastructure, however, could involve risks. In 2017 alone, a total of 158,000 total vehicle crashes occurred in our nation’s work zones, accounting for 61,000 injuries [1]. Many of these frequently involve ...
  • Framework for Accommodating Emerging Autonomous Vehicles
    Framework for Accommodating Emerging Autonomous Vehicles
    Eksioglu, Burak ;
    Schmid, Matthias Josef Al
    2022-07-17 | PDF
    In the era of Connected and Autonomous Vehicles, platooning has the potential to increase roadway capacity and reduce energy consumption. However, vehicles may expend extra energy as they try to form platoons. Also, depending on its position within a platoon, the energy savings of each vehicle can be different. Thus, optimizing and quantifying the ...
281 - 300 / 854