Software-defined Control of Emergency Vehicles in Smart Cities

Nazila Bagheri, S. Yousefi, G. Ferrari
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引用次数: 3

Abstract

One of the most fundamental challenges in nowadays transportation systems is the appropriate management of emergencies resulting from accidents. The purpose of this paper is to utilize vehicular communication technologies and integrate them with the software defined idea to reduce the time required by the emergency vehicle to arrive at the accident scene from the emergency center (i.e., rescue time). In this context, one of the main approaches is traffic light preemption in favor of emergency vehicles: the timing of traffic lights along the rescue route is dynamically adjusted to minimize the number of RED lights met by the emergency vehicles. Most of existing methods of preemption are based on local decision making at each individual traffic light. However, in this paper, the use of a central controller for traffic light scheduling leads to higher efficiency due to the higher knowledge of street traffic and intersection conditions. The proposed method is evaluated using the OMNET++ and SUMO tools over part of the city of Tabriz, Iran. The simulation results demonstrate that the proposed method can reduce the average rescue time even by more than 50% in some cases.
智慧城市应急车辆的软件定义控制
当今交通系统中最根本的挑战之一是对事故造成的紧急情况的适当管理。本文的目的是利用车载通信技术,并将其与软件定义思想相结合,以缩短应急车辆从应急中心到达事故现场所需的时间(即救援时间)。在这种情况下,主要的方法之一是优先考虑救援车辆的交通灯:动态调整救援路线上的交通灯时间,以尽量减少救援车辆遇到红灯的数量。现有的抢占方法大多是基于每个红绿灯的局部决策。然而,在本文中,使用中央控制器进行交通灯调度,由于对街道交通和交叉口情况有更高的了解,可以提高效率。在伊朗大不里士市的部分地区,使用omnet++和SUMO工具对提出的方法进行了评估。仿真结果表明,在某些情况下,该方法可将平均救援时间缩短50%以上。
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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