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铁道科学与工程学报

JOURNAL OF RAILWAY SCIENCE AND ENGINEERING

第11卷    第4期    总第60期    2014年8月

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文章编号:1672-7029(2014)04-0141-05
基于Q学习的城区干线区域交通控制优化
龙琼1,张谨帆1,周昭明1,彭烁2

(1.湖南城市学院 土木工程学院,湖南 益阳 413000;
2.长沙理工大学 交通运输工程学院,湖南 长沙 410004
)

摘 要: 基于城区干线及周边区域的交通控制优化问题,提出基于Q学习的城区干线区域交通控制优化模型及算法,分析城区干线区域交通控制问题,考虑设计者的交通控制策略,构建城区干线区域交通控制模型;基于Q学习理论,提出面向城区干线区域交通控制的优化算法和步骤;以长沙城区干线区域交通控制为背景进行了仿真验证,仿真结果表明:本模型能够有效提高城区干线的通行效率,有效减少干线上的交通延误和停车率。

 

关键字: 交通控制优化;干线控制;Q学习;智能交通系统

Traffic control optimization of artery in urban area based on the Q-algorithm
LONG Qiong1, ZHANG Jinfan1, ZHOU Zhaoming1, PENG Shuo2

1. School of Civil Engineering, Hunan City University, Yiyang 413000, China;
2. School of Traffical and Transportation, Changsha University of Science & Technology, Changsha 410004, China

Abstract:According to the traffic control optimization problem of urban trunk line and the surrounding area, the optimization model and algorithm of main city area traffic control based on Q-algorithm is put forward. First of all, the traffic control issue of urban artery line was analyzed, and the corresponding control model was established by taking the designer’s traffic control strategy into account. Then the main city area traffic control oriented optimization algorithm and steps were presented based on the Q-algorithm theory. Finally, traffic control simulation verification was carried out at the background of Changsha city main area. The simulation results show that this model can effectively improve the efficiency of urban arterial traffic, reduce traffic delays on the main line and stop rate of vehicles, which has strong practical significance.

 

Key words: traffic control optimization; artery control; Q-algorithm; intelligent transportation system

ISSN 1672-7029
CN 43-1423/U

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