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原文传递 Transitioning Roadways to Accommodate Connected and Automated Vehicles:A Pennsylvania Case Study.

题名：	Transitioning Roadways to Accommodate Connected and Automated Vehicles:A Pennsylvania Case Study.
作者：	Samaras, C.
关键词：	Case studies, Highway design, Highway safety, Intelligent vehicles, Mobile communication systems, Vehicle to vehicle communications, Design, Highways, Planning and forecasting, Safety and human factors, Vehicles and equipment, Carnegie Mellon University, Pennsylvania (State)
摘要：	Vehicle automation has the potential to greatly improve road safety and congestion. According to U.S. crash data from the 2012 General Estimate System (GES) and Fatality Analysis Reporting System (FARS), in 2012 there were a total of 5.6 million crashes including 33,000 fatal crashes and 2.3 million injury crashes. In addition to safety concerns, traffic congestion continues to cost the American public billions of dollars annually. Connected and Automated Vehicles (CAV) represent a pathway to increasing effective road capacity with the existing transportation infrastructure (Anderson et al., 2014). This design and policy research project would address the following research question: What are the options for existing roadways to transition to accommodating automated vehicles? The need for a blueprint on how to begin accommodating automated and connected vehicles on roadways is becoming ever more important as the project team begins to transition to a partially automated light duty vehicle fleet. For this research project the team will assess options for the Pennsylvania Turnpike to begin transitioning towards accommodating CAVs, using toll log, crash, and traffic data for this roadway. The project team will identify roadway sections that have high crash frequencies, consistent congestion, and available right-of-way to enable adaptive designs for automation. These include but are not limited to: innovative roadway sections with reduced-width CAV-only lanes, vehicle-to-infrastructure prioritization plans, and sections where CAVs and traditional vehicles can most safely interact. The recommendations resulting from this work will also be applicable to other existing roadways around the country. This task research is intended to help inform decision makers among regional transportation managers, designers of connected and automated vehicle test beds, auto manufacturers, technology companies, transportation policy makers and the general public. Results will be disseminated in the form of peer-reviewed papers, conference presentations, policy briefs, and social media.
报告类型：	科技报告