交通信号优化和网络服务系统开发的两阶段算法

IF 2.3 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Seungyeop Lee, Myungeun Eom, Byung-In Kim
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引用次数: 0

摘要

有效控制交叉路口的车辆和行人交通信号对于缓解交通拥堵至关重要。考虑到交叉路口的独特性,如道路数量、人行横道的有无、道路几何形状和交通需求模式,必须在每个交叉路口为交通信号灯确定合适的相位顺序和持续时间。本文提出了一种基于仿真的两阶段算法,包括整数约束亚当(ICA)和塔布搜索(TS),用于优化具有任意交通需求模式的任意交叉口的相位顺序和持续时间。ICA 可及时发现有可能获得全局最优解的区域,而 TS 则可确定该区域附近的最佳解。利用六个实际交叉路口的 24 个实例,对采用固定相位序列优化相位持续时间的拟议算法的性能与几种基准方法进行了对比评估。实验结果表明,与现有的交通信号灯相比,所提出的算法在 4 分钟的计算时间内减少了 20.2% 的平均旅行时间,因此提供接近最优解决方案的速度比常用的基于群体的元启发式算法快 8 倍。此外,该算法在异构车辆中表现出稳健的性能,并推荐了最佳相位序列,有效缓解了当前交通信号系统的拥堵状况。与实际交叉路口的现有最佳相位序列相比,具有最佳相位持续时间的优化相位序列进一步减少了约 11.3% 的平均旅行时间。为了促进其广泛应用,我们开发了一个名为 "提高交通效率的智能交叉口 "的免费开放式网络服务系统,用户无需优化背景或模拟知识即可优化交通信号系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Two-stage algorithm for traffic signal optimization and web-service system development

Two-stage algorithm for traffic signal optimization and web-service system development

Efficient control of traffic signals for vehicles and pedestrians at intersections is critical for relieving traffic congestion. Considering the unique characteristics of intersections, such as the number of roads, the presence or absence of crosswalks, road geometric shapes, and traffic demand patterns, an appropriate phase sequence and duration for traffic signals must be established at each intersection. This paper proposes a simulation-based two-stage algorithm comprising integer-constrained Adam (ICA) and tabu search (TS) to optimize the phase sequence and duration for arbitrary intersections with arbitrary traffic-demand patterns. The ICA promptly identifies a promising region in which a global optimal solution is likely to be obtained, whereas TS determines the best solution near the region. The performance of the proposed algorithm that optimizes phase durations with fixed phase sequence is evaluated against several baseline methods using 24 instances across six actual intersections. Experimental results show that the proposed algorithm reduces the average travel time by 20.2% compared with existing traffic signals within a computation time of 4 min, thus providing a near-optimal solution eight times faster than commonly used population-based metaheuristics. Furthermore, the algorithm demonstrates robust performance across heterogeneous vehicles and recommends the best phase sequence that effectively alleviates congestion in current traffic signal systems. The optimized phase sequence with best phase durations further reduces the average travel time by approximately 11.3% compared with the existing phase sequence with best phase durations at an actual intersection. To facilitate its widespread use, a free, open web-service system named “Smart Intersection for Traffic Efficiency” is developed, which enables users to optimize traffic signal systems without requiring optimization background or simulation knowledge.

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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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