使用实时混合关键度系统在干线道路网络中路由应急车辆 *
Routing Emergency Vehicles in Arterial Road Networks using Real-time Mixed Criticality Systems*
摘要：
缩短应急车辆（EV）的响应时间在挽救生命和财产方面具有明显的优势。实施抢占可以帮助实现这一目标。电动汽车通过抢占获得畅通无阻的运动，通常是通过改变交通信号灯，并在整个路线上发出绿波。这种绝对先占的做法对正常的交通产生了不利的影响，因为它造成了不必要的等待。在本文中，我们提出了一种新的紧急车辆抢占（EVP）算法实现的车辆自组织网络（VANET），可以减少强加的不希望的等待时间，但仍然保证电动汽车满足目标响应时间。我们引入了混合关键性实时系统调度的概念，不同级别的紧急事件映射到不同的关键性级别，并分配一定的成功保证级别，以各自的关键性。我们实现了一个动脉交通网络的EVP算法，并利用通过VANET传输的有价值的信息来做出关键决策。该算法可以显着减少规则流量的平均等待时间。它还确保所有具有不同关键性级别的电动汽车都能满足其保证级别的目标响应时间。
英文摘要：
Reducing the response time of Emergency Vehicles (EVs) has an undoubted advantage in saving life and property. Implementing pre-emption can aid in achieving it. EVs get unobstructed movement via pre-emption, usually by altering traffic signals and giving a green wave throughout the route. This approach of absolute pre-emption effects adversely on regular traffic by imposing unnecessary waiting. In this paper, we propose a novel emergency vehicle pre-emption (EVP) algorithm implemented in the Vehicular Ad-hoc Network (VANET) that can reduce the imposed undesirable waiting time, but still ascertains EVs meet target response time. We introduce mixed-criticality real-time system scheduling concept where different level of emergencies is mapped with different criticality levels and assign certain success assurance level to respective criticality. We implemented the EVP algorithm for an arterial traffic network and leveraged the use of valuable information that gets transmitted via VANET to make critical decisions. The proposed algorithm can significantly reduce the average waiting time of regular traffic. It also ascertains all EVs with different level of criticality meet target response time respective to their assurance level.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
