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.
Traffic signals, while serving an important function to coordinate vehicle movements through intersections, also cause frequent stops and delays, particularly when they are not properly timed. Such stops and delays contribute to significant amount of fuel consumption and greenhouse gas emissions. The recent development of connected and automated ve
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A study investigated the cognitive underpinnings of consumers’ beliefs and confidence in their beliefs about fully automated vehicles. Following previous research, opinions about self-driving cars tended to be mixed. The most negative views were held by consumers who had the least knowledge of self-driving cars. Low trust in technology was also ass
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A survey was conducted to examine the relationship between consumers’ beliefs about automated vehicles, their knowledge of automated vehicles, and their views about technology. The researchers investigated how knowledge of self-driving vehicles, perceived knowledge of self-driving vehicles, general beliefs about the self, and beliefs about technolo
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Automated vehicles (AVs) have the potential to disrupt the current transportation system and culture. While experts debate the exact timeline, the question is likely a matter of when, not if. Therefore, communities of all kinds need to prepare for this future. Small urban and rural communities, in particular, could benefit from the development of t
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Automated vehicle (AV) technology is rapidly moving towards reality and will be mature within the next decade. However, the physical, institutional, and legal infrastructure for enabling widespread adoption of this technology is still lagging significantly. The focus of this research is on developing a decision framework for optimal upgrading of th
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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
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This toolbox was developed to provide a summary of information that local agencies should be aware of to prepare for connected and autonomous vehicles (CAVs). The main goal of this toolbox is to assist local agencies in preparing for CAVs in the short term—5 to 10 years. Since local agencies are not generally expected to have the resources to becom
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This report is an examination of parking, curb zones, and government service changes in the context of AVs. Given that there are very few actual AVs on the road, the analysis in this report is an attempt to project what we might see, using the current phenomenon as starting points. The report uses a mix of econometric modeling, cost accounting, and
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Autonomous vehicles create new opportunities for innovative intelligent traffic systems. Variable speed limits, which is a speed management systems that can adjust the speed limit according to traffic condition or predefined speed control algorithm on different road segments, can be better implemented with the cooperation of autonomous vehicles. Th
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Over the past decade, several studies have determined that vehicles equipped with forward collision warning (FCW) systems can help drivers reduce their likelihood of getting into a crash. To date, the research has only addressed the initial safety benefits incurred by drivers using FCW systems based on short-term exposure (up to one month), and not
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The CITR dataset was collected in the controlled experiments that were conducted in a parking lot near the facility of Control and Intelligent Transportation Research (CITR) Lab at The Ohio State University (OSU). The controlled experiments consist of a series of fundamental vehicle-crowd interactions in the hope of analyzing interactive pedestrian
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Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we systematically review the potential solutions that take advantage of connected and automated vehicles (CAVs) to improve the control performances of urban signalized int
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This report summarizes current challenges that people with disabilities face and speculates as to which requirements might be necessary for a “fully automated” and “fully accessible” vehicle to indeed be accessible. There are still gaps in accessibility and plenty of lessons learned from several decades of experience with the Americans with Disabil
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Pedestrian deaths are on the rise with 6,227 estimated for 2018, the highest since 1990. Distractions such as walking while looking at electronic devices are the third leading cause of fatalities and recent research has shown that injuries from distracted walking have increased 81% since 2005. The introduction of self-driving cars could further com
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Technologies for Safe and Efficient Transportation. University Transportation Center
2019-03-06
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The final project report for the SmartShuttle sub-project of the Ohio State University is presented in this report. This has been a two year project where the unified, scalable and replicable automated driving architecture introduced by the Automated Driving Lab of the Ohio State University has been further developed, replicated in different vehicl
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This report categorizes and summarizes efforts that are already underway in cities across the world to rethink curb management, to outline the key takeaways from the one-day workshop that involved city staff from Portland, Seattle, and Vancouver, and to identify major research gaps. Key findings include: (1) The curb is a finite resource and it nee
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Regional travel demand models are an institutionalized element of the transportation planning process and require multiple years to develop, calibrate, and deploy. Because transportation planners are being asked immediately how a new technology, i.e., driverless vehicles (DVs), may affect travel demand, this study, using a case study approach with
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The transportation sector accounts for the largest portion of greenhouse gas (GHG) emissions compared to all other sectors, and GHGs are once again on the rise. At the same time, new mobility technologies are being introduced and fully autonomous vehicles (AVs) are anticipated to be deployed, at least to varying extents, within 5-10 years. (Waymo,
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Texas. Dept. of Transportation. Research and Technology Implementation Office
2019-03-01
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The Texas Department of Transportation (TXDOT) hosted a peer exchange in Austin, Texas on March 25-26, 2019 to discuss Freight and Passenger Vehicle Connected and Automated Vehicles (CAV) programs. Attendees included invited participants from other State DOTs (California, Florida, Pennsylvania, Michigan, Arizona, Colorado, and Nevada), the Federal
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The exclusive bus lane (XBL) is one of the most popular bus transit systems in US. The Lincoln Tunnel utilizes an XBL through the tunnel in the AM peak period. This paper proposes a novel data-driven cooperative adaptive cruise control (CACC) algorithm that aims to minimize a cost function for connected and autonomous buses along the XBL. Different
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