Passenger-based adaptive transit signal priority for BRT systems with multiple loading areas

IF 2.3 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Intelligent Transport Systems Pub Date : 2024-03-11 DOI:10.1049/itr2.12488
Hamid Behbahani, Mohammad Poorjafari
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Abstract

An adaptive transit signal priority strategy is presented in this paper with the objective of passenger delay minimization at isolated intersections serving conflicting bus rapid transit (BRT) routes. The proposed passenger-based adaptive signal priority for BRT systems (PASPB) is designed to optimize both green times and phase sequences at the start of each cycle and for a prespecified decision horizon. Since a public transportation (PT) vehicle travel time model capable of estimating the dwell time at stops with multiple loading areas has not yet been developed, PT vehicle dwell time is modeled in this study by analyzing the cases of passenger service by single or double PT vehicles. The problem is formulated as a mixed-integer nonlinear program (MINLP) and at each execution, the optimization is conducted by genetic algorithm. The model is deployed to a real-field intersection with conflicting BRT routes under the SUMO microsimulation environment. The results show that PASPB outperforms the SYNCHRO optimal solution and phase insertion strategy regarding PT passenger delay. Besides, the sensitivity analysis proves that at high demand levels of the PT system or general traffic, PASPB presents the best performance in terms of general traffic, PT, and total passenger delay compared to other models.

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为有多个上客区的快速公交系统提供基于乘客的自适应公交信号优先权
本文介绍了一种自适应公交信号优先策略,其目标是在为相互冲突的快速公交(BRT)线路提供服务的孤立交叉口,最大限度地减少乘客延误。所提出的基于乘客的快速公交系统自适应信号优先策略(PASPB)旨在优化每个周期开始时的绿灯时间和相位序列,并优化预设的决策周期。由于目前尚未开发出能够估算具有多个上客区的站点停留时间的公共交通(PT)车辆行驶时间模型,因此本研究通过分析单人或双人公共交通车辆的客运服务情况,对公共交通车辆的停留时间进行建模。该问题被表述为混合整数非线性程序(MINLP),每次执行时都采用遗传算法进行优化。在 SUMO 微观仿真环境下,将模型部署到一个存在快速公交线路冲突的真实路口。结果表明,在 PT 乘客延迟方面,PASPB 优于 SYNCHRO 最佳方案和相位插入策略。此外,敏感性分析表明,在公共交通系统或一般交通需求水平较高的情况下,与其他模型相比,PASPB 在一般交通、公共交通和总乘客延迟方面表现最佳。
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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
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