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首页> 外文会议>2013 International Conference on Human Computer Interactions >Design of adaptive traffic flow control system with soft computing tools for green signaling
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Design of adaptive traffic flow control system with soft computing tools for green signaling

机译：带有绿色信号软计算工具的自适应交通流控制系统设计

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Traffic on urban roads is increasing day by day. In India there has been a sudden rise in vehicles on road leading to several problems such as loss of time, increased fuel consumption, wasted fuel increasing air pollution and carbon dioxide emissions, noise pollution, inconvenience caused due to long queues and increased cost. Intelligent methods have not yet been adopted on Indian roads. Most of the cities rely on pre-timed control. This paper presents an intelligent system for traffic flow prediction and control through green signaling. Live Data from upstream detectors and historical data of a particular junction are input to the fuzzy control which predicts the estimated flow at the intersection. Based on this estimated flow Particle Swarm Optimizer outputs the optimized green timing for the intersection. TSIS-CORSIM is used for simulation of the system. The results show that the proposed system results in lesser delay than the pre-timed and actuated controller of CORSIM.
机译：城市道路上的交通日益增加。在印度，道路上的车辆突然增加，导致出现一些问题，例如时间浪费，燃料消耗增加，浪费的燃料增加了空气污染和二氧化碳排放，噪音污染，由于排长队而造成的不便和成本增加。在印度道路上尚未采用智能方法。大多数城市都依赖预先控制。本文提出了一种通过绿色信号进行交通流量预测和控制的智能系统。来自上游检测器的实时数据和特定路口的历史数据输入到模糊控制，该模糊控制预测路口的估计流量。基于此估计流量，粒子群优化器输出交叉路口的最佳绿色计时。 TSIS-CORSIM用于系统仿真。结果表明，所提出的系统比CORSIM的预定时和驱动控制器具有更少的延迟。

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