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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 601 - 620 of 847 results
  • Development of VehicletoInfrastructure Applications Program Fifth Annual Report
    Development of Vehicle-to-Infrastructure Applications Program Fifth Annual Report
    Shulman, Michael ;
    Geisler, Scott
    2019-08-31 | PDF
    This report documents the work completed by the Crash Avoidance Metrics Partners LLC (CAMP) Vehicle to Infrastructure (V2I) Consortium during the fifth year of the “Development of Vehicle-to-Infrastructure Applications (V2I) Program.” Participating companies in the V2I Consortium during this period were Ford, General Motors, Hyundai Motor Group, Ho ...
  • Managing the Impacts of Different AVCV Penetration Rates on Recurrent Freeway Congestion from the Perspective of Traffic Management A Case Study of MD100
    Managing the Impacts of Different AV/CV Penetration Rates on Recurrent Freeway Congestion from the Perspective of Traffic Management: A Case Study of MD-100
    Rao, Ranteg S ;
    Park, Sung Yoon
    2019-08-23 | PDF
    In the near future, responsible highway agencies will need to effectively coordinate emerging autonomous vehicle (AV) flows while contending with daily recurrent congestion. This study presents a systematic procedure for understanding how AV flows impact traffic under different AV behavioral mechanisms (i.e., car-following and lane-changing), penet ...
  • Blockchain A Safe Efficient Solution for Driver Privacy and Connected Vehicle Transportation Data Sharing
    Blockchain: A Safe, Efficient Solution for Driver Privacy and Connected Vehicle Transportation Data Sharing
    Cao, Yingxi ;
    Kurkcu, Abdullah
    2019-08-16 | PDF
    Connected and automated vehicles (CAVs) are becoming increasingly prevalent, bringing with them potential for better safety and mobility. However, these vehicles can create many thousands of transactions in a flash, creating a challenge for current technologies that are not capable of transmitting such big data, privately, and securely. Distributed ...
  • DSRCWave Enabled Connected Vehicles Infrastructure
    DSRC/Wave Enabled Connected Vehicles Infrastructure
    Roy, Sumit
    ORCID ICON IMG
    2019-08-15 | PDF
    Connected vehicles enabled through the installation of IEEE WAVE/DSRC standard-compliant radios in vehicles and on roadside units (RSU) that operate on DSRC bands will enable multiple innovations that promote safety and efficiency. An example is intelligent signalized intersections that allow an RSU at the intersection to obtain real-time informati ...
  • Developing an Open-Source Multi-Agent Simulation Environment for Connected Autonomous Vehicles [supporting datasets]
    Negrut, Dan ;
    Serban, Radu
    2019-08-06 | ZIP
    This document contains an overview of the software infrastructure developed under the SAFER-SIM project “Developing an Open Source Multi-Agent Simulation Environment for Connected Autonomous Vehicles”. We provide a description of the four foundational simulation elements – agent dynamics, sensing, communication, and virtual worlds – that anchor Syn ...
    Dataset
  • Road Infrastructure Readiness for Autonomous Vehicles
    Road Infrastructure Readiness for Autonomous Vehicles
    Saeed, Tariq Usman
    2019-08-01 | PDF
    Contemporary research indicates that the era of autonomous vehicles (AVs) is not only inevitable but may be reached sooner than expected; however, not enough research has been done to address road infrastructure readiness for supporting AV operations. Highway agencies at all levels of governments seek to identify the needed infrastructure changes t ...
  • Aerial Contact Sensing for Improved Inspection of Transportation Infrastructure
    Aerial Contact Sensing for Improved Inspection of Transportation Infrastructure
    Scherer, Sebastian
    ORCID ICON IMG
    2019-08-01 | PDF
    The current state-of-the-art in using remotely controlled or small unmanned aerial systems (sUAS) for bridge inspection focuses only on taking visual measurements from a distance of many meters. This is not a sufficient substitute for the inspection made via contact sensing by a human inspector. Furthermore, these systems often require global posit ...
  • Impact Assessments of Automated Truck Platooning on Highway Traffic Flow and Adjacent Drivers
    Impact Assessments of Automated Truck Platooning on Highway Traffic Flow and Adjacent Drivers
    Spasovic, Lazar N. ;
    Bensenski, Dejan
    2019-08-01 | PDF
    Automated Truck Platooning (ATP) enables a group of commercial trucks to move safely together with higher speeds and shorter headways between them. By assisting truck drivers and reducing human error, ATPs are expected to improve traffic safety. Since 2013, the performance of ATPs has been investigated through several research efforts that included ...
  • Designing an Informative Interface for Transfer of Control in Level 2 Automated Driving System
    Designing an Informative Interface for Transfer of Control in Level 2 Automated Driving System
    Roberts, Shannon C ;
    Ebadi, Yalda
    2019-08-01 | PDF
    Although automated driving systems have made significant progress over the past few years, human involvement is still vital, especially for Level 2 (L2) systems. One of the challenges of L2 systems is transfer of control between drivers and systems. The objective of this study was to design and evaluate an in-vehicle interface for an L2 automated v ...
  • Design and Evaluation of a Connected Work Zone Hazard Detection and Communication System for Connected and Automated Vehicles CAVs
    Design and Evaluation of a Connected Work Zone Hazard Detection and Communication System for Connected and Automated Vehicles (CAVs)
    Mollenhauer, Michael ;
    White, Elizabeth
    2019-08-01 | PDF
    Roadside work zones (WZs) present imminent safety hazards for roadway workers as well as passing motorists. In 2016, 764 fatalities occurred in WZs in the United States due to motor vehicle traffic crashes, which are the second most common cause of worker fatalities. The advent of connected and connected automated vehicles (CVs/CAVs) is driving WZ ...
  • Emerging Econometric and Data Collection Methods for Capturing Attitudinal and Social Factors in Activity Travel Behavior and Safety Modeling
    Emerging Econometric and Data Collection Methods for Capturing Attitudinal and Social Factors in Activity, Travel Behavior and Safety Modeling
    Mannering, Fred ;
    Maness, Michael
    2019-08-01 | PDF
    The intent of this project is to explore unobserved heterogeneity and its interpretation by undertaking a series of empirical applications that use some of the most advanced heterogeneity models available. The project report begins by studying effect of information on changing opinions toward autonomous vehicle adoption (Chapter 2). The report then ...
  • Attitudes Towards Emerging Mobility Options and Technologies Phase 2 Pilot and Full Survey Deployment
    Attitudes Towards Emerging Mobility Options and Technologies – Phase 2: Pilot and Full Survey Deployment
    Khoeini, Sara ;
    Pendyala, Ram M.
    2019-08-01 | PDF
    Disruptive transportation technologies such as autonomous vehicles and mobility-on-demand services are bringing transformative changes in the urban area. To enhance our understanding of various impacts of these new mobility options on travel behavior and relative consequences, people’s attitudes towards and perceptions of these technologies and ser ...
  • Design and Evaluation of a Connected Work Zone Hazard Detection and Communication System for Connected and Automated Vehicles (CAVs)[supporting datasets]
    Mollenhauer, Michael ;
    White, Elizabeth
    2019-07-02 | ZIP
    Roadside work zones (WZs) present imminent safety hazards for roadway workers as well as passing motorists. In 2016, 764 fatalities occurred in WZs in the United States due to motor vehicle traffic crashes, which are the second most common cause of worker fatalities. The advent of connected and connected automated vehicles (CVs/CAVs) is driving WZ ...
    Dataset Supporting Files
  • Vehicle Automation and Transportability of Crash Modification Factors
    Vehicle Automation and Transportability of Crash Modification Factors
    Davis, Gary ;
    Gao, Jingru
    2019-07-01 | PDF
    Although the Highway Safety Manual (HSM) now provides empirical tools for predicting the safety consequences of highway engineering decisions, these tools represent the prevailing driver and vehicle conditions in the United States during the last few decades. As automated vehicles improve in capability and increase in market share, these conditions ...
  • Development of a Workshop on Automated Vehicle Technologies
    Development of a Workshop on Automated Vehicle Technologies
    Davis, Brian ;
    Johnson, Reed
    2019-07-01 | PDF
    Connectivity and automation in vehicles have the potential to change nearly every aspect of our transportation system. Vehicles with these capabilities are already being tested on public roads and are beginning to enter the national fleet. These vehicles have the potential to bring numerous benefits to the public, but these benefits come with trade ...
  • CARMA Testing and Evaluation of Research Mobility Applications
    CARMA Testing and Evaluation of Research Mobility Applications
    Tiernan, Tim ;
    Bujanovic, Pavle
    2019-07-01 | PDF
    This report presents the results of a test and evaluation effort that assessed the performance of three research mobility applications implemented by the open-source second-generation Cooperative Automation Research Mobility Applications (CARMA2) platform. This platform enables the research and development of cooperative automated driving system ca ...
  • Driving Etiquette
    Driving Etiquette
    Peng, Huei ;
    Huang, Xianan
    2019-07-01 | PDF
    This project focuses on establishing driving etiquette based on naturalistic driving behavior of human drivers to serve as the basis for the design of autonomous vehicles to drive "like safe human drivers." The project queried a large amount of naturalistic driving data from the Ann Arbor, Michigan connected vehicle deployment. The data were used t ...
  • Macroscopic Fundamental Diagram Approach to Traffic Flow With Autonomous/Connected Vehicles [supporting datasets]
    Whalin, Robert W ;
    Hu, Guojing
    2019-06-27 | ZIP
    Connected and autonomous vehicles (CAVs) have the capability to acquire real-time information from each other while human-driven vehicles (HVs) are standalone in the vehicle roadway navigation system. The information asymmetry poses great challenges in managing and controlling vehicles in the mixed traffic. To address such challenges, a new lane-ch ...
    Dataset Supporting Files
  • Potential Implications of Autonomous Vehicles on Personal Vehicle Ownership and Demand for Public Transit
    Potential Implications of Autonomous Vehicles on Personal Vehicle Ownership and Demand for Public Transit
    Gkartzonikas, Christos ;
    Gkritza, Konstantina “Nadia”
    2019-06-09 | PPT
    Study Objectives: 1) Understanding what influences decisions of postponing the purchase, keeping or giving up private vehicle ownership of non-AVs in the short and long run. 2) Assessing the intention to switch from public transportation in favor of ride-sharing services operated in AVs.
  • Assessing the SocioEconomic Implications Related to the Emergence of Shared Autonomous Vehicles
    Assessing the Socio-Economic Implications Related to the Emergence of Shared Autonomous Vehicles
    Gkartzonikas, Christos ;
    Losada-Rojas, Lisa Lorena
    2019-06-09 | PDF
    Research Objectives: Assess public acceptance of AVs across disadvantaged areas. Identify market segments with different characteristics and different levels of adoption Identify transportation disadvantaged areas. Provide best strategies and suggestions to these areas to ensure smooth transition.
601 - 620 / 847