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首页> 美国卫生研究院文献>PLoS Clinical Trials >Increasing Intelligence in Inter-Vehicle Communications to Reduce Traffic Congestions: Experiments in Urban and Highway Environments
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Increasing Intelligence in Inter-Vehicle Communications to Reduce Traffic Congestions: Experiments in Urban and Highway Environments

机译：增强车辆间通信的智能以减少交通拥堵：城市和公路环境中的实验

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摘要

Intelligent Transportation Systems (ITS) rely on Inter-Vehicle Communication (IVC) to streamline the operation of vehicles by managing vehicle traffic, assisting drivers with safety and sharing information, as well as providing appropriate services for passengers. Traffic congestion is an urban mobility problem, which causes stress to drivers and economic losses. In this context, this work proposes a solution for the detection, dissemination and control of congested roads based on inter-vehicle communication, called INCIDEnT. The main goal of the proposed solution is to reduce the average trip time, CO emissions and fuel consumption by allowing motorists to avoid congested roads. The simulation results show that our proposed solution leads to short delays and a low overhead. Moreover, it is efficient with regard to the coverage of the event and the distance to which the information can be propagated. The findings of the investigation show that the proposed solution leads to (i) high hit rate in the classification of the level of congestion, (ii) a reduction in average trip time, (iii) a reduction in fuel consumption, and (iv) reduced CO emissions
机译：智能交通系统（ITS）依靠车辆间通信（IVC）通过管理车辆交通，协助驾驶员提供安全和共享信息以及为乘客提供适当的服务来简化车辆的运行。交通拥挤是一个城市交通问题，给驾驶员造成压力并造成经济损失。在这种情况下，这项工作提出了一种基于车辆间通信的检测，传播和控制拥堵道路的解决方案，称为INCIDEnT。提出的解决方案的主要目标是通过允许驾驶员避免拥挤的道路来减少平均出行时间，减少CO排放和燃料消耗。仿真结果表明，我们提出的解决方案导致了较短的延迟和较低的开销。而且，在事件的覆盖范围和信息可以传播到的距离方面，这是有效的。调查结果表明，所提出的解决方案导致（i）拥堵级别的高命中率；（ii）平均旅行时间减少；（iii）燃油消耗减少；以及（iv）减少二氧化碳排放

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