基于队列理论和马尔可夫决策控制方法的交通交叉口建模与优化

A. C. Soh, M. Marhaban, M. Khalid, R. Yusof
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引用次数: 17

摘要

交通模型在当今的交通研究和许多交通应用中都发挥着重要的作用,如交通流预测、事件检测和交通控制。交通动力学建模和控制信号优化是两个相互关联的问题。建模提供了对交通动态和行为的基本理解。本文采用M/M/l排队理论对交通信号进行建模。给出了具有不同到达率的仿真模型(M/M/l队列)的验证。在此基础上,应用M/M/l队列理论建立了单交叉口红绿灯模型。在优化策略中,采用马尔可夫决策控制最小化队列长度和等待时间。仿真结果表明了该方法的良好潜力
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling and Optimisation of a Traffic Intersection Based on Queue Theory and Markov Decision Control Methods
Traffic models play an important role in both today's traffic research and in many traffic applications such as traffic flow prediction, incident detection and traffic control. Modelling traffic dynamics and optimising the control signal are two interrelated problems. Modelling provides fundamental understanding of traffic dynamics and behaviour. In this paper, traffic signal is modelled as a M/M/l queueing theory. The validation of a simulation model (M/M/l queue) with different arrival rates is presented. From the result, a traffic light model was developed by applying M/M/l queue theory for single intersection. In the optimisation strategy, the Markov decision control is applied to minimize queue length and waiting time. Simulation results show the excellent potential of this approach
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