Adaptive Fuzzy Urban Traffic Flow Control Using a Cooperative Multi-Agent System based on Two Stage Fuzzy Clustering
Adaptive Fuzzy Urban Traffic Flow Control Using a Cooperative Multi-Agent System based on Two Stage Fuzzy Clustering
复制标题
基于两阶段模糊聚类的多智能体协作系统自适应模糊城市交通流控制
DOI：
10.1109/vetecs.2009.5073360
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Bahram Zahir Azami
中科院分区：
文献类型：
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作者：
Fatemeh Daneshfar;Javad RavanJamJah;F. Mansoori;H. Bevrani;Bahram Zahir Azami
由于传统的交通信号控制系统不能提供有效的交通控制，城市地区的交通拥堵问题日益严重。因此，智能交通系统(ITS)中的动态交通信号控制近年来受到越来越多的关注。针对分散式交通信号控制问题，设计了一种自适应协作多智能体模糊系统。为了实现这一点，我们研究了一个具有三个控制级别的模型。每个交叉口都受到自己的交通状况、相关的交叉口建议和提供其交通模式的知识库的控制。本研究着眼于利用我们架构的预测机制，基于两阶段模糊聚类算法找到最相关的交叉口，该算法根据聚类隶属度找到对特定交叉口影响最大的交叉口。我们还开发了一个基于NetLogo的交通模拟器，作为代理的世界。通过对一个大型交叉口的交通控制进行测试，结果是令人满意的：与传统的固定顺序交通信号相比，平均延误时间可以减少42.76%；与车辆驱动的交通控制策略相比，平均延误时间可以减少28.77%。
The traffic congestion problem in urban areas is worsening since traditional traffic signal control systems cannot provide efficient traffic control. Therefore, dynamic traffic signal control in Intelligent Transportation System (ITS) recently has received increasing attention. This study devises an adaptive and cooperative multi-agent fuzzy system for a decentralized traffic signal control. To achieve this we have worked on a model which has three levels of control. Every intersection is controlled by its own traffic situation, correlated intersections recommendations and a knowledge base which provides its traffic pattern. This study focused on utilizing the prediction mechanism of our architecture, it finds most correlated intersections based on a two stage fuzzy clustering algorithm which finds most intersections effect on a specific intersection based on clustering membership degree. We have also developed a NetLogo-based traffic simulator to serve as the agents' world. Our approach is tested with traffic control of a large connected junctions and the result obtained is promising: The average delay time can be reduced by 42.76% compared to the conventional fixed sequence traffic signal and 28.77% compared to the vehicle actuated traffic control strategy.