An Efficient Cloud-Based Traffic Signal Manipulation Algorithm for Path Clearance

Aamir Wali, Khansa Tanveer, Samreen Fatima, Ayeza Tanveer, Sara Iftikhar
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引用次数: 1

Abstract

Beside many challenges that urban cities have to face, one of them is increasing traffic. Unfortunately, in developing countries like, for example, Pakistan, the traffic management infrastructure does not scale accordingly. This leads to two types of problems: congestion and long queues at traffic signals. This makes it difficult for emergency vehicles (EV) such as ambulances to reach their destination on time. Therefore, in this article, the authors have developed an intelligent path clearance system for emergency vehicles. The particular focus is on long queues at traffic signals. Given the GPS coordinates of an EV, a destination, a map, and the traffic light grid system, our system provides a signal free corridor to the priority vehicle by automatically manipulating traffic signals that fall in its path using cloud computing. The idea is to clear the path of the vehicle. The proposed system also makes decision based on the time of the day and current traffic conditions in real time. In case of multiple options, it also calculates the shortest path to the destination.
一种高效的基于云的道路清除交通信号处理算法
除了城市面临的许多挑战外,其中之一就是日益增长的交通。不幸的是,在发展中国家,例如巴基斯坦,交通管理基础设施并没有相应地扩大规模。这导致了两类问题:交通拥堵和在交通信号前排长队。这使得救护车等紧急车辆难以按时到达目的地。因此,在本文中,作者开发了一种用于应急车辆的智能路径间隙系统。人们特别关注的是在交通信号灯前排长队的问题。考虑到电动汽车的GPS坐标、目的地、地图和交通灯网格系统,我们的系统通过使用云计算自动操纵落在其路径上的交通信号,为优先车辆提供无信号通道。这个想法是为了清除车辆的路径。该系统还可以根据每天的时间和当前的交通状况进行实时决策。在有多个选项的情况下,它还计算到目的地的最短路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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