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Autonomous Vehicles

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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 852 results
  • Investigation of LiDAR Sensing Technology to Improve Freeway Traffic Monitoring
    Investigation of LiDAR Sensing Technology to Improve Freeway Traffic Monitoring
    Ritchie, Stephen G. ;
    Tok, Andre
    2022-09-01 | PDF
    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 ...
  • Enough Fluff Returning to Meaningful Perspectives on Automation
    Enough Fluff: Returning to Meaningful Perspectives on Automation
    Kaliardos, William N. (Bill)
    ORCID ICON IMG
    2022-09-01 | PDF
    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 ...
  • 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 ...
  • 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
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Truck Platooning Early Deployment Assessment Independent Evaluation Expanded Analysis Plan
    Truck Platooning Early Deployment Assessment – Independent Evaluation: Expanded Analysis Plan
    Asare, Sampson ;
    Chang, James
    2022-07-17 | PDF
    The United States Department of Transportation (USDOT) recognizes that cooperative automated driving systems will have a transformative impact on how the nation’s highways will operate in the future. One of the proposed near-term services is truck platooning. Truck platooning promises fuel savings to platooning trucks by enabling them to follow eac ...
  • 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 / 852