基于累积权重法的城乡道路rsu定位

Ahmed Makkawi, R. Daher, Ramy Rizk
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引用次数: 14

摘要

为了提高交通系统的质量和效率,智能交通系统(ITS)的部署成为当今社会的一种需要。然而,路旁装置的有效分配被认为是部署路边网络的主要挑战之一,特别是由于有各种各样的影响因素会影响分配过程。其中一些影响因素是交通、道路的拓扑结构和基础设施特征以及所使用的技术。本文介绍了基于累积权的方法(CWM)来解决城市、农村和山区的布局问题。CWM获取每个感兴趣站点(SoI)的权重,并将周围邻居的权重加到其权重中,在分配过程中首先考虑最高的权重。CWM在当前的开发阶段考虑使用rsu半径和连接性需求。此外,它还会受到许多其他因素的影响。在罗斯托克(德国)和斯皮林根(瑞士)选定地区进行的测试表明:(1)与扫描过程中获得的原始数量相比,soi的数量减少了;(2)只有优先级最高的soi被选为RSU放置的最佳位置;(3)山区距离的三维空间计算结果与二维空间计算结果不同,但精度更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RSUs placement using cumulative weight based method for urban and rural roads
Intelligent Transportation Systems (ITS) deployment became a need nowadays in order to improve quality and efficiency of transportation systems. However, an effective distribution of Roadside Units (RSUs) is considered to be one of the main challenges for deployment of roadside networks, especially due to the wide range of influencing factors that can affect the distribution process. Some of these influencing factors are traffic, topological and infrastructure characteristics of the roads and technology used. This paper introduces the Cumulative Weight based Method (CWM) as a solution to the placement problem in the urban, rural and mountainous areas. The CWM gets the weight of each Site of Interest (SoI) and adds the weights of the surrounding neighbors to its weight and considers the highest weight first in the distribution process. The CWM during the current state of development considers working with the radius of RSUs and connectivity requirements. Moreover, it will be influenced by many other factors. The tests conducted on selected areas in Rostock (Germany) and Spiringen (Switzerland) showed: (1) a reduction in the number of SoIs compared to the original number acquired during the scanning process; (2) only the highest priority SoIs are chosen as the best location for an RSU placement; (3) 3D space calculations for distance on mountainous areas gave a different, more accurate results than 2D space calculations.
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