Proper management of rescue operations following an accident is one of the most fundamental challenges faced by today's smart cities. Taking advantage of vehicular communications, in this paper we propose novel mechanisms for the acceleration of the rescue operation resulting in a reduction in fatalities in accidents. We propose a Software-Defined Traffic Light Preemption (SD-TLP) mechanism that enables Emergency Medical Vehicles (EMVs) to travel along the rescue route with minimal interruptions. The SD-TLP makes preemption decisions based on global knowledge of the traffic conditions in the city. We also propose mechanisms for the selection of the nearest emergency center and fast discharge of the route of EMVs. Furthermore, depending on the dynamic traffic conditions on the streets at the time of the accident, an appropriate rescue route is selected for the EMV before its departure. The proposed approach is evaluated using the OMNET++ and SUMO tools over part of the Megacity of Tabriz, Iran. The simulation results demonstrate that the method can reduce the average rescue time significantly. The proposed approach keeps the resulting disruption in city traffic acceptably low while trying to shorten the rescue time as much as possible.

事故后救援行动的正确管理是当今智慧城市面临的最基本挑战之一。利用车辆通信，在本文中，我们提出了加速救援行动的新机制，从而减少事故死亡人数。我们提出了一种软件定义的交通灯抢占 (SD-TLP) 机制，使紧急医疗车辆 (EMV) 能够沿着救援路线行驶，干扰最小。SD-TLP 根据对城市交通状况的全局了解做出先发制人的决策。我们还提出了选择最近的应急中心和快速释放 EMV 路线的机制。此外，根据事故发生时街道的动态交通状况，EMV在出发前选择合适的救援路线。使用 OMNET++ 和 SUMO 工具在伊朗大不里士特大城市的部分地区对所提出的方法进行了评估。仿真结果表明，该方法可以显着缩短平均救援时间。拟议的方法将由此产生的城市交通中断保持在可接受的低水平，同时尽力缩短救援时间。