Research on ADHDP Based Traffic Signal Control Method
Liu, Yu-Liang
Conference NameThe Seventh Chinese Conference on Social Computing
Source PublicationProceedings of The Seventh Chinese Conference on Social Computing
Conference Date2015
Conference PlaceFuzhou, China
AbstractWith the rapid growth of China's economy and the steady progress of the urbanization, the speed of traffic facilities’ construction and improvement is far behind that of the increasing traffic demand. The traffic congestion problem has become increasingly prominent. A traffic signal control method based on Action-Dependent Heuristic Dynamic Programming (ADHDP) is investigated in this paper, and the algorithm of ADHDP is described in detail. The traffic signal controller based on ADHDP is designed. The algorithm is simulated on a two phase intersection with four entrance approaches, each of which has two lanes and each lane has a detector on it. Experimental results show that compared with traditional Fix-Time Control, the method has the ability of on-line learning, can effectively improve the average speed of vehicles and reduce traffic congestion.
Other Abstract随着中国经济的高速增长以及城市化的稳步推进,交通设施兴建和改善的速度远远赶不上人们日益增长的交通需求,交通拥堵问题日益突出。本文研究了一种基于执行依赖启发式动态规划(Action-Dependent Heuristic Dynamic Programming, ADHDP)的交通信号控制方法,并详细描述了ADHDP的算法原理,对基于ADHDP的交通信号控制器进行了设计,阐述了控制器的离线训练和在线学习的方法。在此基础上,本文对一个有4个入口通道,每个通道有2个车道,每个入口车道均放置有车辆检测器的两相位交叉口进行了仿真实验。实验结果表明,该方法与传统的定时控制方法相比,具备在线学习的能力,能够有效提高车辆平均速度,缓解交通拥堵。
KeywordAdhdp Traffic Signal Control Adaptive Control
Indexed By其他
Document Type会议论文
Corresponding AuthorLiu, Yu-Liang
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Liu, Yu-Liang. Research on ADHDP Based Traffic Signal Control Method[C],2015.
Files in This Item: Download All
File Name/Size DocType Version Access License
water03.pdf(932KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu, Yu-Liang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu, Yu-Liang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu, Yu-Liang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: water03.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.