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首页> 外文会议>2013 ACS International Conference on Computer Systems and Applications >Intelligent traffic management with wireless sensor networks
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Intelligent traffic management with wireless sensor networks

机译：无线传感器网络的智能交通管理

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摘要

Vehicular travel is gaining importance everywhere, particularly in large urban areas. The current technologies that support vehicular travel like wired sensors, inductive loops, surveillance camera etc., are expensive and also require high maintenance cost. Further the accuracy of these devices also depends on environment conditions. The typical traditional approaches attempt to optimize traffic lights control for a particular density and configuration of traffic. However, the major disadvantage of using these techniques is that the dynamic behavior of traffic densities and configurations change is difficult to model constantly. Traffic seems to be an adaptation problem rather than an optimization problem. This paper therefore tries to address the above issue, and hence we propose algorithms which perform adaptive traffic light control using a wireless sensor network setup. The paper aims at analyzing methods to build an intelligent system that can blend and support some of the existing technologies of traffic control and therefore reduce the average waiting time of vehicles on a junction. The proposed algorithms are adaptive to traffic flow at any intersection point of roads. Simulations of the real-life traffic scenarios are conducted in a simulated platform called Green Light District Simulator (GLD) to generate graph average waiting time versus cycles. The results generated show that the proposed method is effective for the traffic control in a real road intersection.
机译：车辆旅行在任何地方都变得越来越重要，特别是在大城市地区。当前支持车辆行驶的技术，例如有线传感器，感应回路，监视摄像机等，不仅价格昂贵，而且需要很高的维护成本。此外，这些设备的精度还取决于环境条件。典型的传统方法试图针对交通的特定密度和配置优化交通灯控制。但是，使用这些技术的主要缺点是流量密度和配置更改的动态行为难以持续建模。流量似乎是适应性问题，而不是优化问题。因此，本文试图解决上述问题，因此我们提出了使用无线传感器网络设置来执行自适应交通信号灯控制的算法。本文旨在分析构建智能系统的方法，该系统可以融合并支持一些现有的交通控制技术，从而减少交叉路口车辆的平均等待时间。所提出的算法适用于道路的任何交叉点处的交通流量。在称为Green Light District Simulator（GLD）的模拟平台中进行现实交通场景的模拟，以生成图表平均等待时间与周期的关系。产生的结果表明，该方法对于实际道路交叉口的交通控制是有效的。

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