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A Novel Fuzzy Model and Control of Single Intersection at Urban Traffic Network

机译:城市交通网络单交叉口的新型模糊模型与控制

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摘要

This paper presents a novel fuzzy model and a fuzzy logic controller for an isolated signalized intersection. The controller controls the traffic light timings and phase sequence to ensure smooth flow of traffic with minimal waiting time and length of queue. Usually fuzzy traffic controllers are optimized to maximize traffic flows/minimize traffic waiting time under typical traffic conditions. Consequentially, these are not the optimal traffic controllers under exceptional traffic cases such as roadblocks and road accidents. We apply state-space equations to formulate the average waiting time vehicles in traffic network at fixed time control. also, We propose a novel fuzzy model and new fuzzy traffic controller that can optimally control traffic flows under both normal and exceptional traffic conditions. Results show that the performance of the proposed traffic controller at novel fuzzy model is better that of conventional fuzzy traffic controllers under normal and abnormal traffic conditions.
机译:本文提出了一种新的模糊模型和孤立的信号交叉口的模糊逻辑控制器。控制器控制交通信号灯的时间和相位顺序,以确保交通顺畅,等待时间和排队时间最短。通常,对模糊交通控制器进行优化,以在典型交通条件下最大化交通流量/最小化交通等待时间。因此,在路障和交通事故等特殊交通情况下,这些并不是最佳交通控制者。我们应用状态空间方程式来计算固定时间控制下交通网络中车辆的平均等待时间。另外,我们提出了一种新颖的模糊模型和新型模糊交通控制器,可以在正常和异常交通条件下最优地控制交通流量。结果表明,在交通状况正常和异常的情况下,所提出的交通控制器在新型模糊模型下的性能均优于传统的模糊交通控制器。

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