详情

原文传递 Optimization based trajectory planner for multilane roundabouts with connected automation

题名：	Optimization based trajectory planner for multilane roundabouts with connected automation
正文语种：	eng
作者：	Keke Long;Zhibo Gao;Zehao Jiang;Chengyuan Ma;Jia Hu;Xiaoguang Yang
作者单位：	Department of Civil and Environmental Engineering University of South Florida Tampa FL USA;The Key Laboratory of Road and Traffic Engineering Ministry of Education Tongji University Shanghai China;Department of Construction Management School of Civil Engineering and Mechanics Huazhong University of Science and Technology Wuhan Hubei China;The Key Laboratory of Road and Traffic Engineering Ministry of Education Tongji University Shanghai China;The Key Laboratory of Road and Traffic Engineering Ministry of Education Tongji University Shanghai China;The Key Laboratory of Road and Traffic Engineering Ministry of Education Tongji University Shanghai China
关键词：	Connected and automated vehicles; fuel consumption; roundabout; speed optimization; trajectory optimization
摘要：	This paper proposes a trajectory planner for multilane roundabouts. The goal is to enhance the existing roundabout in terms of capacity with the help of connected automation. The trajectory planner is formulated as a bi-level optimization. The upper level is a passing sequence optimization, which determines the passing sequence of the approaching vehicles to achieve delay minimization. The lower level is a speed optimal control aiming at minimizing fuel consumption while honoring the pass sequences generated from the upper level optimization. The proposed planner is evaluated in simulation on a typical four-arm roundabout with two entrance lanes in each arm. Compared with the traditional yield-regulated control, the proposed approach can reduce the delay by 69.6% to 87.8% and fuel consumption by 24.7% to 28.6%. Compared with the first-come-first-service (FCFS) control, the proposed approach can reduce the delay by 33.5% to 81.9% and fuel consumption by 7.5% to 18.8%. The change in benefit is due to the variation of demand.
出版年：	2023
期刊名称：	Journal of Intelligent Transportation Systems
卷：	27
期：	1/6
页码：	411-422