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原文传递 Development of a Knowledge Base for Multiyear Infrastructure Planning for Connected and Automated Vehicles

题名：	Development of a Knowledge Base for Multiyear Infrastructure Planning for Connected and Automated Vehicles
正文语种：	eng
作者：	Sanusi, Fehintola;Choi, Juyeong;Kim, Yong Hoon;Moses, Ren
作者单位：	Florida State Univ FAMU FSU Coll Engn Dept Civil & Environm Engn 2525 Pottsdamer St Tallahassee FL 32310 USA;Florida State Univ FAMU FSU Coll Engn Dept Civil & Environm Engn 2525 Pottsdamer St Tallahassee FL 32310 USA;Univ Windsor Dept Civil & Environm Engn 401 Sunset Ave Windsor ON N9B 3P4 Canada;Florida State Univ FAMU FSU Coll Engn Dept Civil & Environm Engn 2525 Pottsdamer St Tallahassee FL 32310 USA
摘要：	Connected and automated vehicles (CAVs) require proper infrastructure for safer and more reliable operations. Many state and local planning agencies have developed multiyear capital programs to provide such infrastructure in a timely manner within their limited budgets. Meanwhile, the traffic environment will evolve over time as CAV technologies become available (i.e., toward the mixed environment of CAVs and human-driven vehicles), which requires infrastructure plans specific to different planning terms (i.e., short-, medium-, and long-term) to accommodate changing infrastructure needs. To develop an effective multiyear infrastructure plan, planning agencies need to understand changing infrastructure needs with time, identify alternative infrastructure options for different planning terms, and select the most appropriate ones based on their long-term vision. This study performed a systematic literature review to develop a knowledge base for multiyear infrastructure planning for CAVs. To be more specific, the literature review aims to develop the following knowledge areas: (1) identification of existing and future infrastructure options for the operation of CAVs, (2) understanding the role of infrastructure to support different functions of CAVs to realize safety, mobility, and environmental benefits, and (3) integration of the aforementioned findings into planning agencies' multiyear infrastructure plans for CAVs. Based on the review, this study categorizes different CAV infrastructure into existing infrastructure and future infrastructure options while considering five system functions of CAVs (i.e., cooperative merging, platooning, intersection movement, dynamic routing, and cooperation and connected functions) to illustrate the role of these infrastructure options under different traffic scenarios. The implementation of the developed knowledge base is demonstrated through a case study of two selected state agencies' long-term infrastructure planning for CAVs. (C) 2022 American Society of Civil Engineers.
出版年：	2022
期刊名称：	Journal of Transportation Engineering
卷：	148
期：	4
页码：	03122001.1-03122001.24