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Impact of beaconing policies on traffic density estimation accuracy in traffic information systems

机译:信标策略对交通信息系统中交通密度估计准确性的影响

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Intelligent transport information systems (TIS) are one of the most rapidly emerging applications of wireless vehicular communications using DSRC/WAVE technology. A core function in a TIS is the estimation of traffic density using beacons transmitted by individual vehicles, subsequently used for purposes such as traffic light control or incident detection. In this paper, we conduct an in-depth study on how the accuracy of traffic density estimation depends on various parameters of the wireless beacons transmission policy, such as beaconing rate and timing. Unlike many other studies, our focus is entirely on the application-layer metric of density estimation accuracy, rather than low-layer metrics such as packet loss rate and throughput. Our results are evaluated over a wide range of traffic traces generated by a commercial microscopic traffic simulator (Paramics), corresponding to a typical urban scenario consisting of a signalized intersection of multiple-lane roads.
机译:智能交通信息系统(TIS)是使用DSRC / WAVE技术的无线车辆通信中发展最快的应用之一。 TIS的核心功能是使用各个车辆传输的信标估算交通密度,随后将其用于交通信号灯控制或事件检测之类的目的。在本文中,我们对流量密度估计的准确性如何取决于无线信标传输策略的各种参数(例如信标速率和定时)进行了深入研究。与许多其他研究不同,我们的重点完全放在密度估计准确性的应用层度量上,而不是诸如丢包率和吞吐量之类的低层度量上。我们的结果是在由商用微观交通模拟器(Paramics)生成的,与典型的城市场景(由多车道道路的信号交叉口组成)相对应的广泛交通轨迹上进行评估的。

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