优化连续流动交叉口的交通信号控制：以实践模型为基准

IF 2.3 4区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IET Intelligent Transport Systems Pub Date : 2024-09-02 DOI:10.1049/itr2.12559

Yining Hu, David Rey, Reza Mohajerpoor, Meead Saberi

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引用次数: 0

摘要

连续流动交叉路口（CFI），又称分流左转交叉路口（DLT），旨在提高交通路口的效率和安全性。连续流动交叉口在主交叉口上游引入额外的交叉口，在左转车流到达主交叉口之前将其从通行车流中分离出来，从而减少左转车流与通行车流之间的冲突点数量。本研究为 CFI 交通信号控制设计开发并检验了一个两步优化模型，并在 300 多种不同的交通需求情况下证明了该模型的性能。该模型与作为基准的现行 CFI 信号控制模型进行了比较。微观模拟结果表明，与基准信号控制模型相比，所提出的模型可将全 CFI 的平均延误时间减少 17%，平均队列长度减少 32%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Optimizing traffic signal control for continuous-flow intersections: Benchmarking against a state-of-practice model

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Optimizing traffic signal control for continuous-flow intersections: Benchmarking against a state-of-practice model

Continuous-flow intersections (CFI), also known as displaced left-turn (DLT) intersections, aim to improve the efficiency and safety of traffic junctions. A CFI introduces additional cross-over intersections upstream of the main intersection to split the left-turn flow from the through movement before it arrives at the main intersection which decreases the number of conflict points between left-turn and through movements. This study develops and examine a two-step optimization model for CFI traffic signal control design and demonstrates its performance across more than 300 different travel demand scenarios. The proposed model is compared against a state-of-practice CFI signal control model as a benchmark. Microsimulation results suggest that the proposed model reduces average delay by 17% and average queue length by 32% for a full CFI compared with the benchmark signal control model.

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来源期刊

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