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.
As public and private entities increasingly test the use of automated shuttles for passenger transportation, project sponsors need evaluation methods that measure the willingness of potential passengers to use these vehicles and to identify factors that may increase or decrease acceptability. Toward this end, many automated shuttle pilot sponsors h
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The purpose of this report is to document a simulation-based case study completed by the project team to investigate the effectiveness of SAE J3016 Level 1 automation technology for mitigating or solving existing transportation problems related to congestion, fuel consumption, and emissions (SAE International 2016). The case study conducted simulat
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This document describes the current test tools and capabilities established at NHTSA’s Vehicle Research and Test Center for researching the safety performance of advanced driver assistance systems (ADAS) and automated driving systems (ADS) in a closed-course setting. This paper focuses on immediate and future needs for ADAS and ADS closed-course te
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This report (a) summarizes the three test scenarios intended to emulate situations commonly encountered during real-world driving where a traffic jam assist (TJA) system may be expected to operate; (b) discusses the results from testing one light vehicle equipped with TJA on the test track; and (c) provides general assessments of revisions made to
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“Semi-controlled” crosswalks exist because of the desire for pedestrians to cross there and the use of stop signs or signals is not warranted. However, there is a sufficient amount of interaction between pedestrians and vehicles at “semi-controlled” crosswalks to be concerned about the time at which “negotiations” between pedestrians and human driv
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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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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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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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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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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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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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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 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 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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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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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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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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