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A Survey on Vehicle Density Estimation in Vehicular Safety Communications and Its Challenging Issues

机译:车辆安全通信中车辆密度估计调查及其具有挑战性问题

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To increase traffic safety, automotive companies and governments have developed various kinds of technologies to support the needs of reducing traffic accidents during the past decades. To achieve this goal, vehicular ad hoc network (VANET) technologies have been getting the spotlight recently and extensive researches using VANET technologies have been carried out. Among them, decentralized congestion control (DCC) of periodic beacon broadcast to support cooperative collision warning (CCW) applications is one of the most critical and challenging issues in VANETs. In order to realize DCC, however, the accurate vehicle density estimation should be preceded because vehicles adjust their congestion control parameters according to the estimated vehicle density. In this paper, we present the existing vehicle density estimation techniques in vehicular communications and point out their limitations and technical challenges for DCC in vehicle-to-vehicle (V2V) safety communications. The question about how to solve these problems is also discussed in this paper.
机译:为了提高行车安全,汽车企业和政府制定了各种技术,以支持在过去几十年中减少交通事故的需求。为了实现这一目标,车载自组织网络(VANET)技术已经被越来越聚光灯和使用VANET技术广泛的研究已经进行了。其中,周期性的信标广播的分散拥塞控制(DCC),以支持合作碰撞警告(CCW)的应用是在VANETs最关键的,挑战的问题之一。为了实现DCC,然而,精确的车辆密度估计应因为车辆根据所估计的车辆密度调整它们的拥塞控制参数之前。在本文中,我们提出在车载通信现有车辆密度估计技术,并指出了其局限性和在车对车(V2V)安全通信的DCC技术挑战。本文还讨论了关于如何解决这些问题的问题。

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