A fuzzy Logic Controller for Isolated Signalized Intersection with Traffic Abnormality Considered
A fuzzy Logic Controller for Isolated Signalized Intersection with Traffic Abnormality Considered
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考虑交通异常的孤立信号交叉口模糊逻辑控制器
DOI：
10.1109/ivs.2007.4290286
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Jinhai Cai
中科院分区：
文献类型：
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作者：
B. M. Nair;Jinhai Cai
本文提出了一种用于孤立信号交叉口的模糊逻辑控制器。控制器控制交通灯时序和相序，以确保交通顺畅且延迟最小。通常，模糊交通控制器经过优化，可以在典型交通条件下最大化交通流量/最小化交通延误。因此，在路障和道路事故等特殊交通情况下，这些并不是最佳的交通控制器。我们提出了一种新的模糊交通控制器，可以在正常和异常交通条件下优化控制交通流。在该系统中，传感器战略性地放置在传入和传出链路（车道）上，控制器利用从这些传感器接收到的信息做出最佳决策，以最大限度地减少交通延迟。开发了模拟器来评估交通控制器在不同条件下的表现。结果表明，在正常交通条件下，所提出的交通控制器的性能与传统模糊交通控制器的性能相似，并且在异常交通条件下优于其他交通控制器。
This paper presents 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 delay. Usually fuzzy traffic controllers are optimized to maximize traffic flows/minimize traffic delays under typical traffic conditions. Consequentially, these are not the optimal traffic controllers under exceptional traffic cases such as roadblocks and road accidents. We propose a new fuzzy traffic controller that can optimally control traffic flows under both normal and exceptional traffic conditions. In this system, sensors are placed strategically at incoming and outgoing links (lanes) and the controller utilize the information received from these sensors to make optimal decisions to minimize the traffic delays. A simulator is developed to evaluate the performance of traffic controllers under different conditions. Results show that the performance of the proposed traffic controller is similar to that of conventional fuzzy traffic controllers under normal traffic conditions and is better that of others under abnormal traffic conditions.