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A traffic signal control algorithm for isolated intersections based on adaptive dynamic programming

机译:基于自适应动态规划的孤立路口交通信号控制算法

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Urban traffic congestions lead to a great deal of time consumption and exhaust emissions. So alleviating congested situation will have a good impact on both economy and environment. The signal control at isolated intersections is an effective and most important way to reduce the traffic jams and collisions. A lot of control theories including traditional mathematical ways and modern intelligent ways have been exploited. Adaptive Dynamic Programming(ADP) is an effective and easy-going intelligent control method. In this paper an algorithm based on ADP theory is proposed to adjust the signal time plan at isolated intersection. Simulations are taken under a microscopic traffic simulation software, TSIS(Traffic Software Integrated System) 5.1. Several criteria named MOE(Measures of Effectiveness) are collected to compare with the widely used pre-timed and actuated control. Results show that ADP control method have a better adaptability to the various traffic simulating real traffic flows.
机译:城市交通拥堵导致大量时间消耗和废气排放。因此缓解拥挤状况将对经济和环境产生良好的影响。隔离路口的信号控制是减少交通拥堵和碰撞的有效且最重要的方法。已经开发了许多控制理论,包括传统的数学方法和现代的智能方法。自适应动态规划(ADP)是一种有效且易于使用的智能控制方法。本文提出了一种基于ADP理论的算法来调整孤立路口的信号时间计划。在微观交通仿真软件TSIS(交通软件集成系统)5.1下进行仿真。收集了几个称为MOE(有效性度量)的标准,以与广泛使用的预定时和执行控制进行比较。结果表明,ADP控制方法对模拟实际交通流的各种交通具有更好的适应性。

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