Anti-Congestion Fuzzy Algorithm for Traffic Control of a Class of Traffic Networks

Wei-bin Zhang, Bu-zhou Wu, Wen-jiang Liu
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引用次数: 14

Abstract

A two-layer fuzzy control algorithm is proposed for traffic control of a class of traffic networks. The concerned network is supposed to have a compact central area with large traffic flow and high possibility of congestion, and a relatively large, loose outer area. The proposed anti-congestion fuzzy algorithm (ACTA) pursues two goals simultaneously, that is, to minimize the average vehicle delay and to prevent traffic congestion from happening. The simulation included in the end shows the performance of the proposed approach is better than that of green link determining (GLIDE) in case of large traffic volume.
一类交通网络交通控制的抗拥塞模糊算法
针对一类交通网络的交通控制问题,提出了一种双层模糊控制算法。该网络的中心区域紧凑,交通流量大,拥堵可能性高,外围区域相对较大,较为松散。本文提出的抗拥堵模糊算法(ACTA)同时追求最小化平均车辆延误和防止交通拥堵的发生两个目标。最后的仿真结果表明,在交通流量较大的情况下,该方法的性能优于绿色链路确定方法(GLIDE)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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