文章基本信息

标题：A Collaborative Merging Strategy with Lane Changing in Multilane Freeway On-Ramp Area with V2X Network
本地全文：下载
作者：Yanjun Shi ; Hao Yu ; Yijia Guo 等
期刊名称：Future Internet
电子版ISSN：1999-5903
出版年度：2021
卷号：13
期号：5
页码：123
DOI：10.3390/fi13050123
出版社：MDPI Publishing
摘要：The merging area of the freeway is an area with a high incidence of traffic accidents. With the development of connected and automated vehicles (CAVs) and V2X technology, the traffic efficiency of freeway ramp areas has been significantly improved. However, current research mostly focuses on merging a single mainline lane and ramp, and there are few cases of multiple lanes. In this paper, we present a collaborative merging model with a rule-based lane-changing strategy in a V2X environment. First, the vehicle selects the appropriate gap to change lanes safely without affecting other vehicles. Meanwhile, we established a linear time discrete model to optimize the trajectory of vehicles in real-time. Finally, the proposed model and strategy were implemented in SUMO and Python. The simulation results showed that the merging model we proposed based on the lane-changing strategy had good performance in terms of the number of stops, average delay, and average speed.
关键词：freeway; on-ramp; lane-changing; connected and automated vehicles; trajectory optimization freeway ; on-ramp ; lane-changing ; connected and automated vehicles ; trajectory optimization