北京交通大学学报2018，Vol.42Issue(2)：69-75,7.DOI:10.11860/j.issn.1673-0291.2018.02.010
车联网干线协调控制相位差自适应优化
Offset adaptive optimizing of arterial coordinating under internet of vehicle
摘要
Abstract
An offset adaptive optimizing method in arterial coordination control under internet of vehicle is proposed to improve traffic efficiency.Firstly,a fuzzy control network is established based on vehicle lane changing delay model.The input of the fuzzy network is the number of vehicle crossing the upstream intersection and the output is the downstream intersection offset.Then,Genetic Algorithm (GA) is used to automatically adjust the fuzzy rules in order to solve the inefficiency caused by the change of traffic flow and environment.At last,a Q-Paramics based vehicle internet simulation platform is built to verify the proposed method.The results show that the proposed method works better than traditional arterial coordination control.And under the simulating situations of fluctuated traffic flow,GA based fuzzy control method reduces vehicle average waiting time 12.35％ and 9.7％ respectively compared to the fuzzy control method.The methodology proposed in this paper can also adapt to shifty traffic flow and changing environment and has more optimal adaptability,availability and engineering value.关键词
交通工程/干线协调控制/模糊自适应控制/相位差/仿真验证Key words
transportation engineering/arterial coordination control/fuzzy adaptive control/offset/simulation and verification分类
交通工程引用本文复制引用
柴琳果,蔡伯根,上官伟,王剑,王化深,陈俊杰..车联网干线协调控制相位差自适应优化[J].北京交通大学学报,2018,42(2):69-75,7.基金项目
国家重点研发计划项目(2016YFB1200100) （2016YFB1200100）
国家自然科学基金(61490705,61773049) （61490705,61773049）
北京市自然科学基金(4172049) （4172049）
中央高校基本科研业务费专项资金(2016YJS029)National Key R& D Plan (2016YFB1200100) （2016YJS029）
National Natural Science Foundation of China (61490705,61773049) （61490705,61773049）
Beijing Municipal Natural Science Foundation (4172049) （4172049）
Fundamental Research Funds for the Central Universities (2016YJS029) （2016YJS029）
