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VANET Based Four Way Road Intersection Traffic Light Control Model

机译:基于VANET的四路交叉口交通灯控制模型。

摘要

Traffic lights are responsible in maintaining the smooth passage of traffic in urban scenario. To enhance the efficiency of traffic control system we are utilizing the concept of Vehicular Ad-hoc Network (VANET) along with our proposed VANET Based Four Way Road Intersection Traffic Light Control Model. The proposed model facilitates more number of vehicles to cross the intersection simultaneously; reduces the vehicles waiting time at intersection. The dynamic cycle traffic control provides an adaptive mechanism to adjust the timing behavior of traffic signal in accordance to traffic demand. Traffic density estimation and traffic density analysis are the two major phases of the proposed traffic signal control. The proposed system comprises of estimation of vehicle density in different lanes approaching the intersection. The density estimation is carried out using (V2I) Vehicle to Infrastructure and (V2V) Vehicle to Vehicle communication. Further the assessment and analysis of obtained data from the estimated density part is carried out by the traffic signal controller to adjust the traffic signal cycles in accordance with the traffic requirement such that unnecessary traffic waiting time can be minimized. The proposed model and proposed Green Light Allocation algorithm is evaluated against the existing static and dynamic cycle control system using Matlab. We found that our proposed system is giving better performance by allowing more traffic volume to cross through the intersection in each cycle. Also our proposed system is reducing the waiting time of vehicles at intersection by frequently switching the Green Light among the phases of same signal cycle.
机译:在城市场景中,交通信号灯负责保持交通通畅。为了提高交通控制系统的效率,我们利用了车辆自组织网络(VANET)的概念以及我们提出的基于VANET的四路道路交叉口交通灯控制模型。所提出的模型使更多的车辆同时通过十字路口。减少交叉路口的车辆等待时间。动态周期交通控制提供了一种自适应机制,可根据交通需求调整交通信号的计时行为。交通密度估计和交通密度分析是所提出的交通信号控制的两个主要阶段。所提出的系统包括接近交叉路口的不同车道中的车辆密度的估计。密度估计是使用(V2I)车辆到基础设施和(V2V)车辆到车辆通信进行的。另外,由交通信号控制器执行从估计的密度部分获得的数据的评估和分析,以根据交通需求来调整交通信号周期,从而可以使不必要的交通等待时间最小化。利用Matlab对现有的静态和动态循环控制系统对提出的模型和提出的Green Light Allocation算法进行了评估。我们发现,我们提出的系统通过允许每个周期中更多的交通量通过交叉路口,从而提供了更好的性能。同样,我们提出的系统通过在相同信号周期的相位之间频繁切换绿灯来减少交叉路口的车辆等待时间。

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  • 作者

    Ranjan Alok;

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  • 年度 2015
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