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Application of vehicular communications for improving the efficiency of traffic in urban areas

机译:车辆通信在提高城市交通效率中的应用

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This paper studies the impacts of vehicular communications on efficiency of traffic in urban areas. We consider a Green Light Optimized Speed Advisory application implementation in a typical reference area and present the results of its performance analysis using an integrated cooperative intelligent transportation systems simulation platform. In addition, we study route alternation using vehicle-to-infrastructure and vehicle-to-vehicle communications. Our interest was to monitor the impacts of these applications on fuel and traffic efficiency by introducing metrics for average fuel consumption, average stop time behind a traffic light and average trip time, respectively. For gathering the results, we implemented two traffic scenarios defining routes through an urban area including traffic lights. The simulations are varied for different penetration rates of application-equipped vehicles, driver's compliance to the advised speed and traffic density. Our results indicate that Green Light Optimized Speed Advisory systems could improve fuel consumption, reduce traffic congestion in junctions and the total trip time.
机译:本文研究了车辆通信对城市地区交通效率的影响。我们考虑在典型参考区域中实施Green Light Optimized Speed Advisory应用程序实施,并使用集成的协作式智能运输系统仿真平台展示其性能分析的结果。另外,我们研究了使用车辆到基础设施和车辆到车辆通信的路线变更。我们的兴趣是通过分别引入平均燃料消耗量,交通信号灯背后的平均停车时间和平均行程时间的指标来监控这些应用程序对燃料和交通效率的影响。为了收集结果,我们实施了两种交通场景,定义了穿过市区的路线,包括红绿灯。对于配备了应用程序的车辆的不同渗透率,驾驶员对建议的速度和交通密度的依从性,模拟会有所不同。我们的结果表明,Green Light Optimized Speed Advisory系统可以改善燃油消耗,减少路口交通拥堵和总出行时间。

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