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结合车对车(V2V)和车对基础设施(V2I)无线通信感知交通密度

Sensing Traffic Density Combining V2V and V2I Wireless Communications.

作者信息

Sanguesa Julio A, Barrachina Javier, Fogue Manuel, Garrido Piedad, Martinez Francisco J, Cano Juan-Carlos, Calafate Carlos T, Manzoni Pietro

机构信息

DIIS, University of Zaragoza, Ciudad Escolar s/n, Teruel 44003, Spain.

DISCA, Universitat Politècnica de València, Camino de Vera s/n, Valencia 46022, Spain.

出版信息

Sensors (Basel). 2015 Dec 16;15(12):31794-810. doi: 10.3390/s151229889.

Abstract

Wireless technologies are making the development of new applications and services in vehicular environments possible since they enable mobile communication between vehicles (V2V), as well as communication between vehicles and infrastructure nodes (V2I). Usually, V2V communications are dedicated to the transmission of small messages mainly focused on improving traffic safety. Instead, V2I communications allow users to access the Internet and benefit from higher level applications. The combination of both V2V and V2I, known as V2X communications, can increase the benefits even further, thereby making intelligent transportation systems (ITS) a reality. In this paper, we introduce V2X-d, a novel architecture specially designed to estimate traffic density on the road. In particular, V2X-d exploits the combination of V2V and V2I communications. Our approach is based on the information gathered by sensors (i.e., vehicles and road side units (RSUs)) and the characteristics of the roadmap topology to accurately make an estimation of the instant vehicle density. The combination of both mechanisms improves the accuracy and coverage area of the data gathered, while increasing the robustness and fault tolerance of the overall approach, e.g., using the information offered by V2V communications to provide additional density information in areas where RSUs are scarce or malfunctioning. By using our collaborative sensing scheme, future ITS solutions will be able to establish adequate dissemination protocols or to apply more efficient traffic congestion reduction policies, since they will be aware of the instantaneous density of vehicles.

摘要

无线技术使车辆环境中新型应用和服务的开发成为可能,因为它们实现了车辆之间的移动通信(V2V)以及车辆与基础设施节点之间的通信(V2I)。通常,V2V通信致力于传输主要专注于提高交通安全的短消息。相反,V2I通信允许用户访问互联网并受益于更高级别的应用。V2V和V2I两者的结合,即所谓的V2X通信,可以进一步增加益处,从而使智能交通系统(ITS)成为现实。在本文中,我们介绍了V2X-d,一种专门设计用于估计道路上交通密度的新颖架构。特别是,V2X-d利用了V2V和V2I通信的结合。我们的方法基于传感器(即车辆和路边单元(RSU))收集的信息以及路线图拓扑的特征,以准确估计即时车辆密度。这两种机制的结合提高了所收集数据的准确性和覆盖范围,同时提高了整体方法的鲁棒性和容错能力,例如,利用V2V通信提供的信息在RSU稀缺或出现故障的区域提供额外的密度信息。通过使用我们的协作感知方案,未来的ITS解决方案将能够建立适当的传播协议或应用更有效的交通拥堵缓解政策,因为它们将了解车辆的即时密度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de53/4721808/8cb5b6ec2f1f/sensors-15-29889-g001.jpg

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