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.
Automated vehicles (AVs) promise to revolutionize driving safety. Driver models can aid in achieving this promise by providing a tool for designers to ensure safe interactions between human drivers and AVs. In this project, we performed a literature review to identify important factors for AV takeover safety and promising models to capture these fa
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This report reviews existing pre-crash scenario typologies and various proposed behavioral competencies in literature that may be relevant to automated driving systems (ADSs) and selects five example scenarios to facilitate exploration of elements that may be helpful in characterizing them. The selected scenarios were: rear-end scenario, lead vehic
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This report summarizes test track validation of NHTSA’s September 2019 Opposing Traffic Safety Assist (OTSA) draft research test procedure. Three of the five test scenarios described in this draft procedure (Scenarios 1, 2, and 4) were used to objectively and effectively assess OTSA performance with the SV operating in automation levels 0 and 1. Si
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Parking infrastructure is suffering from congestion as the number of vehicles circulating in urban areas is growing and expansion is not a cost-effective solution. In parallel, developments in autonomous vehicle technology mean that driverless vehicles are predicted to be in circulation by the 2020s and makeup 40% of vehicle travel by the 2040s. Ex
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Parking infrastructure is suffering from congestion as the number of vehicles circulating in urban areas is growing and expansion is not a cost-effective solution. In parallel, developments in autonomous vehicle technology mean that driverless vehicles are predicted to be in circulation by the 2020s and makeup 40% of vehicle travel by the 2040s. Ex
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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
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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
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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
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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
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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
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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
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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
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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
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United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology
2021-02-01
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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
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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
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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
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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
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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
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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
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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
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