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Using Crowed-Source Based Approach for V2X Communication For Vehicular Ad Hoc Network

机译:基于众所的基于源的V2X通信方法,用于车辆ad Hoc网络

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Due to increased number of vehicles on the roads, various problems have appeared on roads including heavy traffic jam and accidents. These problems not only waste a lot of time, but sometimes put the lives of peoples at risk. This can be avoided by disseminating information about such situations on roads. The proposed mechanism sends information about traffic incidents and congestion to the infrastructure and the vehicles connected to any of infrastructure receives the updated information. This paper proposes a crowdsource based approach to detect traffic congestion and accidents intelligently and then disseminate the updated the information to infrastructure. For creating real-time information on roads the proposed scheme exchanges information with other vehicles via infrastructure. An intelligent Algorithm has been developed that can detect road traffic congestion and accidents based on vehicle location (GPS values) and smartphone accelerometer values. In this research paper, we have focused on the efficiency and reliability of using smartphones for incident warning and traffic congestion detection.
机译:由于道路上的车辆数量增加,道路上出现了各种问题,包括繁忙的交通堵塞和事故。这些问题不仅浪费了大量时间,而且有时会使人们的生活处于危险之中。这可以通过传播关于道路上的这种情况的信息来避免。该提出的机制发送有关交通事故和对基础设施拥塞的信息,并且连接到任何基础架构的车辆接收更新的信息。本文提出了一种基于人群的方法来智能地检测交通拥堵和事故,然后将更新的信息传播给基础设施。为了在道路上创建实时信息,所提出的方案通过基础设施与其他车辆交换信息。已经开发了一种智能算法,可以检测基于车辆位置(GPS值)和智能手机加速度计值的道路交通拥堵和事故。在本研究论文中,我们专注于使用智能手机进行事件警告和交通拥堵检测的效率和可靠性。

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