Adaptive traffic signal optimization considering emergency vehicle preemption and tram priority using PVS algorithm

Maryam Alami Chentoufi, R. Ellaia
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引用次数: 2

Abstract

The tram has been known as a modern, environmentally friendly, quick and safe means of transportation; hence, giving the signal priority for trams on arterial streets at signalized intersections is crucial to improve tram service efficiency. However, tram priority can impact the movement of emergency vehicles (ambulances, police cars, fire engines, etc) which required quick response to save lives and properties. Therefore, to organize the traffic road, it is necessary to make the urban road network more efficient by considering both tram and emergency vehicles priority. In this paper we propose a new approach, a system that can adapt efficiently with a priority signal control. Thereof, we have used Transit Signal Priority (TSP) techniques to adjust signal phasing in order to serve emergency vehicles and manage the tram priority in a coordinated tram intersection. The system used in this study provides acyclic signal operation based on a real time control approach including: - An optimization process using passing vehicle search algorithm (PVS) to control the flow through the network. - A database to manage the sensor data from detectors for real time predictions of emergency vehicle and tram arrival time. - A traffic road simulation module to evaluate best timing plans at the intersection.
考虑应急车辆抢占和有轨电车优先的PVS算法自适应交通信号优化
有轨电车一直被认为是一种现代化、环保、快捷、安全的交通工具;因此,在信号交叉口的主干道上给予有轨电车信号优先权是提高有轨电车服务效率的关键。然而,电车优先会影响紧急车辆(救护车、警车、消防车等)的行动,这些车辆需要快速反应,以挽救生命和财产。因此,在组织交通道路时,必须兼顾有轨电车和应急车辆的优先性,提高城市路网的效率。在本文中,我们提出了一种新的方法,一种可以有效地适应优先信号控制的系统。因此,我们利用交通信号优先级(TSP)技术来调整信号相位,以便在协调的有轨电车交叉口服务于应急车辆和管理有轨电车优先级。本研究使用的系统提供基于实时控制方法的无循环信号操作,包括:-使用通过车辆搜索算法(PVS)控制网络流量的优化过程。-一个数据库,用于管理探测器的传感器数据,以实时预测紧急车辆和电车的到达时间。-一个交通道路模拟模块,用于评估十字路口的最佳时间计划。
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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