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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 441 - 460 of 866 results
  • Florida ATMA Pilot Demonstration and Evaluation
    Florida ATMA Pilot Demonstration and Evaluation
    Agarwal, Nithin ;
    Rahmani, Roozbeh
    2021-03-01 | PDF
    Autonomous truck-mounted attenuators (ATMAs) promise transformative changes in mobile work zone operations by eliminating the need for a worker to operate an impact protection vehicle. The goal of this project was to pilot a demonstration of the ATMA technology, conduct an evaluation and assessment of the operational and safety functions of ATMA ve ...
  • Assessment of Autonomous Vehicle Sharing for Evacuation and Disaster Relief
    Assessment of Autonomous Vehicle Sharing for Evacuation and Disaster Relief
    Padmanabhan, Bhavya ;
    Shirley, Thomas
    2021-03-01 | PDF
    The goal of this project was to aid emergency management agencies and departments of transportation in preparing for a future hurricane-related mass evacuation where self-driving, autonomous vehicles (AVs) can be utilized to assist with evacuating critical transportation need households (CTNH). A survey was developed and administered to over 1000 r ...
  • Editorial Advances in Planning for Emerging Transportation Technologies Towards Automation Connectivity and Electric Propulsion
    Editorial: Advances in Planning for Emerging Transportation Technologies: Towards Automation, Connectivity, and Electric Propulsion
    Labi, Samuel ;
    Anastasopoulos, Panagiotis
    2021-03-01 | PDF
    Transportation systems continue to face significant challenges and opportunities in the context of their social, technical, and economic outcomes (De Neufville and Scholtes, 2011; Kaewunren et al.; Sinha et al., 2017; De Martinis and Corman, 2018; Bongiovanni et al., 2019; Eker et al., 2019; Eker et al., 2020a; Barmpounakis and Geroliminis, 2020; B ...
  • Developing Analysis Modeling and Simulation Tools for Connected Automated Vehicle Applications A Case Study on SR 99 in California
    Developing Analysis, Modeling, and Simulation Tools for Connected Automated Vehicle Applications: A Case Study on SR 99 in California
    Liu, Hao ;
    Lu, Xiao-Yun
    2021-03-01 | PDF
    The purpose of this report is to document a simulation-based case study investigating the effectiveness of SAE J3016 Level 1 automation technology for mitigating or solving existing transportation problems related to congestion, fuel consumption, and emissions.(1) This case study examined the impacts of cooperative adaptive cruise control (CACC) ve ...
  • Uses and Challenges of Collecting LiDAR Data From a Growing Autonomous Vehicle Fleet Implications for Infrastructure Planning and Inspection Practices
    Uses and Challenges of Collecting LiDAR Data From a Growing Autonomous Vehicle Fleet: Implications for Infrastructure Planning and Inspection Practices
    Mekker, Michelle M ;
    Rahman, Md Ashikur
    2021-03-01 | PDF
    Autonomous vehicles (AVs) that utilize LiDAR (Light Detection and Ranging) and other sensing technologies are becoming more prevalent in the transportation industry. Concurrently, transportation agencies are increasingly challenged with asset management, traffic operations, and safety assessments. The affordability of LiDAR technology continues to ...
  • Vehicle-Traffic Control with Limited-Capacity Connected/Automated Vehicles [supporting datasets]
    Ban, Xuegang (Jeff) ;
    Guo, Qiangqiang
    2021-02-09 | ZIP
    This project studies methods to control both vehicle and traffic under limited penetration of low-level connected and autonomous vehicles (LCAVs). The investigation includes three major parts: (1) the Eco-Driving algorithm for a single CAV with low-level automation; (2) the vehicle in the loop (VIL) simulation platform; and (3) the integrated vehic ...
    Dataset
  • Driver’s Mental Models of Advanced Vehicle Technologies: A Proposed Framework for Identifying and Predicting Operator Errors [supporting datasets]
    Pradhan, Anuj K. ;
    Pai, Ganesh
    2021-02-05 | XLSX
    Advanced vehicle technologies are increasingly more accessible and available in vehicles. These current and future systems, despite promising added safety, convenience, and efficiency to drivers and road users, have an inherently higher level of complexity than the driving systems that most drivers are used to operating. In order to maximize the pr ...
    Dataset Supporting Files
  • Integration of Automated Vehicle Sensing with Adaptive Signal Control for Enhanced Mobility [supporting datasets]
    Smith, Stephen F. ;
    Hawkes, Allen
    2021-02-04 | XLSX
    This repository contains the results produced by CMU-UTC Project 294, titled "Integration of Autonomous Vehicles with Adaptive Signal Control to Enhance Mobility." The data contains comparative results of a pilot experiment designed to demonstrate the traffic flow efficiency can be improved by vehicle-to-infrastructure communication and use of vehi ...
    Dataset Supporting Files
  • Examining Seniors Adaptation to Mixed Function Automated Vehicles Analysis of Naturalistic Driving Data
    Examining Seniors’ Adaptation to Mixed Function Automated Vehicles: Analysis of Naturalistic Driving Data
    Liang, Dan ;
    Antin, Jonathan F
    2021-02-01 | PDF
    The study examined whether advanced driver assistance systems (ADAS) can benefit the mobility and driving performance of senior drivers. Two groups of driving data, collected separately from two naturalistic driving projects, were examined. The Second Strategic Highway Research Program and the Examining Seniors’ Adaptation to Mixed Function Automat ...
  • Data Mining Twitter To Improve Automated Vehicle Safety
    Data Mining Twitter To Improve Automated Vehicle Safety
    McDonald, Tony ;
    Huang, Bert
    2021-02-01 | PDF
    Automated vehicle (AV) technologies may significantly improve driving safety, but only if they are widely adopted and used appropriately. Adoption and appropriate use are influenced by user expectations, which are increasingly being driven by social media. In the context of AVs, prior studies have observed that major news events such as crashes and ...
  • User Perceptions of the Risks of Electric Shared and Automated Vehicles Remain Largely Unexplored Policy Brief
    User Perceptions of the Risks of Electric, Shared, and Automated Vehicles Remain Largely Unexplored [Policy Brief]
    Kurani, Kenneth S.
    ORCID ICON IMG
    2021-02-01 | PDF
    Advocates of electric, shared, and automated vehicles (e-SAVs) envision a future in which people no longer need to drive their privately owned, petroleum-fueled vehicles. Instead, for daily travel they rely on fleets of electric, automated vehicles that offer travel services, including the option to share, or “pool,” rides with strangers. The desig ...
  • Determination of Improved Pavement Smoothness When Using 3D Modeling and Automatic Machine Guidance techbrief
    Determination of Improved Pavement Smoothness When Using 3D Modeling and Automatic Machine Guidance [techbrief]
    United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology
    2021-02-01 | PDF
    This TechBrief provides a summary of a study the Federal Highway Administration (FHWA) conducted to evaluate how using three-dimensional (3D) engineered models in conjunction with Automated Machine Guidance (AMG) technology affects initial pavement smoothness. The assessment approach included a comprehensive literature review, engagement with State ...
  • Intelligent Driving Intelligence Test for Autonomous Vehicles with Naturalistic and Adversarial Environment
    Intelligent Driving Intelligence Test for Autonomous Vehicles with Naturalistic and Adversarial Environment
    Feng, Shuo ;
    Yan, Xintao
    2021-02-01 | PDF
    Driving intelligence tests are 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 wou ...
  • Drivers Mental Models of Advanced Vehicle Technologies A Proposed Framework for Identifying and Predicting Operator Errors
    Driver’s Mental Models of Advanced Vehicle Technologies: A Proposed Framework for Identifying and Predicting Operator Errors
    Pradhan, Anuj K. ;
    Pai, Ganesh
    2021-02-01 | PDF
    Advanced vehicle technologies are increasingly more accessible and available in vehicles. These current and future systems, despite promising added safety, convenience, and efficiency to drivers and road users, have an inherently higher level of complexity than the driving systems that most drivers are used to operating. In order to maximize the pr ...
  • Safety Impact Evaluation of a NarrowAutomated VehicleExclusive Reversible Lane on an Existing Smart Freeway
    Safety Impact Evaluation of a Narrow-Automated Vehicle-Exclusive Reversible Lane on an Existing Smart Freeway
    Machiani, Sahar Ghanipoor ;
    Jahangiri, Arash
    2021-02-01 | PDF
    This study fills the gap in the limited research on the effect of emerging Automated Vehicle (AV) technology on infrastructure standards. The main objective of this research is to evaluate implications of an innovative infrastructure solution, exclusive AV lanes, for safe and efficient integration of AVs into an existing transportation system. Exam ...
  • Older Adults New Mobility and Automated Vehicles
    Older Adults, New Mobility, and Automated Vehicles
    Fraade-Blanar, Laura ;
    Larco, Nico
    2021-02-01 | PDF
    This report explores how older adults may be affected by the introduction of automated vehicles (AVs). It focuses on highly automated Level 4 AVs, self-driving vehicles that require no human supervision as long as certain conditions are met. It is based on information gathered from a literature review, interviews with subject matter experts, and a ...
  • Macroeconomic Impacts of Automated Driving Systems in LongHaul Trucking
    Macroeconomic Impacts of Automated Driving Systems in Long-Haul Trucking
    Waschik, Robert ;
    Friedman, Daniel
    2021-01-28 | PDF
    This report presents an analysis of the potential macroeconomic impacts resulting from the adoption of higher level automated driving systems (ADS) of the long-haul trucking industry in the United States. The analysis uses USAGE-Hwy, a computable general equilibrium (CGE) model of the U.S. economy that includes detail on transportation related indu ...
  • A General Equilibrium Model for Integrated CAV Ridesourcing and Transit Services for the Morning Commute [supporting datasets]
    Fan, Rong ;
    MacCabe, Dan
    2021-01-10 | ZIP
    Commuting congestion increases alongside the prosperity of urban cities. With the rapid development of ride sourcing services and the advances of the connected and automated vehicles (CAV), researchers are seeking innovative approaches to alleviate commuting congestion by integrating CAV-based ride sourcing and transit services. We propose a genera ...
    Dataset Supporting Files
  • Integration of Automated Vehicle Sensing with Adaptive Signal Control for Enhanced Mobility
    Integration of Automated Vehicle Sensing with Adaptive Signal Control for Enhanced Mobility
    Smith, Stephen F. ;
    Hawkes, Allen
    2021-01-01 | PDF
    This report summarizes the results of a one-year project aimed at exploiting vehicle-to-infrastructure (V2I) communication to enhance the effectiveness of real-time adaptive traffic signal control systems. As originally formulated, the project’s goal was to explore the potential of using the sensing capabilities of connected autonomous vehicles (CA ...
  • FMVSS Considerations for Vehicles with Automated Driving Systems Volume 2
    FMVSS Considerations for Vehicles with Automated Driving Systems: Volume 2
    Chaka, Michelle ;
    Blanco, Myra
    2021-01-01 | PDF
    Included in this second volume are 18 Federal Motor Vehicle Safety Standards (FMVSS) research findings, including the performance requirements and test procedures, in terms of options regarding technical translations, based on potential regulatory barriers identified for compliance verification of innovative new vehicle designs that may appear in v ...
441 - 460 / 866