基于排队理论的交叉口应急车辆前方加速放行模型

S. Sumaryo, A. Halim, K. Ramli, E. Joelianto
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引用次数: 0

摘要

智能交通系统(ITS)是通信网络、实时控制和信息技术的集成。预计该系统将执行更复杂的交通安排,特别是紧急车辆的交通管理。单靠交通信号优先的实施不足以为应急车辆提供安全通过交叉口的空间,特别是在车道街道只有一条车道的情况下。本文提出了一种基于排队理论的交通流量加速模型。在该模型中,引入了两个性能指标:应急车辆前方正常交通的速度和应急车辆的行驶时间。目的是使应急车辆在一定时间内以恒定速度到达目的地。此外,应该将延迟控制在最低限度。推导了应急车辆前方车辆的线性加速度公式和指数加速度公式,并进行了验证。根据文献中的模型对模型的性能进行了测试。仿真结果表明,该模型能较好地保证应急车辆不会出现明显的延误。在验证试验的基础上,根据所提出的模型推导出公式。
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Queueing theory based accelerated traffic discharging model in front of emergency vehicle on intersection
Intelligent Transportation System (ITS) is the integration between communication networks, real-time control, and information technology. The system is expected to perform more complex traffic arrangements, in particular traffic management of emergency vehicles. Implementation with traffic signal pre-emption alone is not enough to give space for the emergency vehicle to cross an intersection safely, especially if the lane street has only one lane. The paper proposes a new model of traffic discharge acceleration based on queueing theory approach. In the proposed model, two performance indicators are introduced which are: speed of normal traffic in front of the emergency vehicle and travelling time of the emergency vehicle. The aim is that the emergency vehicle could reach a destination within a certain time and a constant speed. Moreover, the delay should be managed to a minimum. Linear and exponential acceleration formulas of the traffic in front of the emergency vehicle are derived and then validated. Performances of the model are tested against the models in the literature. Simulation results show the proposed model leads to better assurance that emergency vehicle is not delayed significantly. Based on the validation test, a formula has also been developed according to the proposed model.
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来源期刊
International Journal of Vehicle Autonomous Systems
International Journal of Vehicle Autonomous Systems Engineering-Automotive Engineering
CiteScore
1.30
自引率
0.00%
发文量
0
期刊介绍: The IJVAS provides an international forum and refereed reference in the field of vehicle autonomous systems research and development.
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