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An intelligent highway traffic model using cooperative vehicle platooning techniques

机译:基于协同车辆排技术的高速公路智能交通模型

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Since the contemporary historical periods onwards policy makers and research bodies are focusing on building highways connecting urban cities. Modern highways play a vital role in increasing the agglomeration benefits of commuters by reducing the travel time, emission levels, fuel consumption, travel fatigue, etc. With the recent progresses on intelligent transport systems (ITS) and vehicular ad-hoc networks (VANET), new revolutionizing highway transportation solution proposals are getting released at rapid pace. Vehicular platooning is an emerging research area which tackles common traffic problems via cooperative adaptive cruise control (CACC) techniques by keeping minimal inter vehicular distances using autonomous methods. In this paper, we select the Southern Expressway (E01 Expressway) located in Sri Lanka as our study region and propose a cooperative vehicle platooning solution which performs better on selected comparison parameters than the non-cooperative methods. Since experimenting our solution directly on real traffic environments will introduce significant disturbances in usual traffic flow, we have followed the simulation procedure for evaluations. For our study, we have used PLEXE an open source simulation framework which extends VEINS vehicular network simulator and SUMO microscopic traffic simulator features. We have evaluated our solution using synthetic traffic data forming a platoon cluster of vehicles.
机译:自当代历史以来,政策制定者和研究机构一直致力于建立连接城市的高速公路。现代高速公路通过减少旅行时间,排放水平,燃料消耗,旅行疲劳等,在增加通勤者的集聚收益方面起着至关重要的作用。随着智能运输系统(ITS)和车辆自组织网络(VANET)的最新发展, ,革命性的新公路交通解决方案提案正在迅速发布。车辆排是一个新兴的研究领域,它通过协作自适应巡航控制(CACC)技术通过使用自主方法保持最小的车辆间距来解决常见的交通问题。在本文中,我们选择位于斯里兰卡的南部高速公路(E01高速公路)作为我们的研究区域,并提出了一种合作车辆排解决方案,该解决方案在选定的比较参数上比非合作方法表现更好。由于直接在真实的交通环境上试验我们的解决方案会在正常的交通流量中引入严重的干扰,因此我们遵循了仿真程序进行评估。对于我们的研究,我们使用了PLEXE一个开放源代码仿真框架,该框架扩展了VEINS车辆网络模拟器和SUMO微观交通模拟器的功能。我们已经使用合成交通数据评估了我们的解决方案,形成了排长队。

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