高速公路可变限速控制策略多目标优化

doi:10.16097/j.cnki.1009-6744.2023.02.027

交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (2): 252-261.DOI: 10.16097/j.cnki.1009-6744.2023.02.027

高速公路可变限速控制策略多目标优化

唐进君¹，付强¹，王骋程^*2，袁琛^1,3，张璇¹，徐长靖⁴

1. 中南大学，交通运输工程学院，长沙 410075；2. 山东省交通规划设计院集团有限公司，济南 250000； 3. 香港城市大学，计算机科学系，香港 999077；4. 山东高速基础设施建设有限公司，济南 250000

收稿日期:2022-11-25 修回日期:2023-02-20 接受日期:2023-03-14 出版日期:2023-04-25 发布日期:2023-04-19
作者简介:唐进君(1983- )，男，广西桂林人，教授，博士
基金资助:
国家自然科学基金面上项目(52172310)；山东省交通运输厅科技计划项目(2021B68)；山东省自然科学基金青年基金(ZR202103040494)

Multi-objective Optimization of Variable Speed Limit Control Strategy on Expressway

TANG Jin-jun¹, FU Qiang¹, WANG Cheng-cheng^*2, YUAN Chen^1,3, ZHANG Xuan¹, XU Chang-jing⁴

1. School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China; 2. Shandong Provincial Communications Planning and Design Institute Group Co. LTD, Jinan 250000, China; 3. Department of Computer Science, City University of Hong Kong, Hong Kong 999077, China; 4. Shandong Expressway Infrastructure Construction Co. LTD, Jinan 250000, China

Received:2022-11-25 Revised:2023-02-20 Accepted:2023-03-14 Online:2023-04-25 Published:2023-04-19
Supported by:
National Natural Science Foundation of China (52172310)；Shandong Provincial Department of Transportation Technology Project (2021B68)；The National Natural Science Foundation of Shandong Province (ZR202103040494)

摘要/Abstract

摘要： 可变限速控制是高速公路主动管控技术的重要组成部分，根据道路运行状况动态更新限速值，可有效管控交通流状态。针对交通事件的影响，同时考虑交通运行效率与安全优化目标的可变限速控制策略具有一定的困难。本文从交通事件影响下高速公路交通流运行时空特征出发，改进基本CTM(Cell Transmission Model)模型，通过扩展元胞可变长度，融合亚稳态理论，提高基本CTM模型的适用性。考虑事件影响下瓶颈区通行能力下降和交通管控下速度可变，构建适用于高速公路交通管控的可变CTM模型。在实际管控中，为兼顾通行效率与交通安全，提出一种以总行程时间最短和总碰撞风险最小为目标的可变限速控制策略多目标优化方法，并利用非支配排序遗传算法(NSGA-II)求解。选取济南绕城高速港沟-兴隆段为实验对象，通过实测数据构建仿真路段，设计突发事件场景下不同限速控制元胞数和控制周期的对比实验。结果表明，本文方法可以有效减少事件影响下32%以上的总行程时间，降低约70%的总碰撞概率，能够有效提高道路通行效率和安全水平。同时，针对限速控制元胞数量和控制周期长短的优劣性进行了实验对比和分析。

关键词: 智能交通, 可变限速控制, 多目标优化, 高速公路, 可变CTM模型

Abstract: Variable speed limit control is an important part of active management and control technology of expressways. It dynamically updates the speed limit value according to the road operating conditions and effectively controls the traffic flow state. Due to the impact of traffic incidents, it is still a challenge to design a variable speed limit control strategy considering the efficiency and safety of traffic operations simultaneously. With the spatial characteristics of highway traffic flow under the influence of traffic incidents, we improve the basic Cell Transmission Model (CTM) model by extending the variable length of cells and integrating metastable state theory. Considering the decrease in traffic capacity in bottleneck areas under the influence of incidents and the change of speed under traffic control, a variable CTM model is constructed. To balance traffic efficiency and safety in practical applications, a multiobjective optimization method of the variable speed limit control strategy with the objective of shortest total travel time and minimum total collision risk is proposed, and the NSGA-II algorithm is applied to solve the optimization problem. The Ganggou-Xinglong section of the Jinan Ring Expressway was selected as the case study. The simulation scenario was constructed and adjusted based on the actual traffic flow data. A comparative experiment under different conditions, with different cell numbers and speed limit control cycles, was designed. The results show that the proposed method can effectively reduce the total travel time by more than 32% and the total collision probability by about 70% under the influence of the incident, which can effectively improve the efficiency and safety level of road traffic. At the same time, the advantages and disadvantages of the number of cells and the length of the control cycle of the speed limit were compared and discussed.

Key words: intelligent transportation, variable speed limit, multi-objective optimization, freeway, variable CTM model

中图分类号:

U495

唐进君, 付强, 王骋程, 袁琛, 张璇, 徐长靖. 高速公路可变限速控制策略多目标优化[J]. 交通运输系统工程与信息, 2023, 23(2): 252-261.

TANG Jin-jun, FU Qiang, WANG Cheng-cheng, YUAN Chen, ZHANG Xuan, XU Chang-jing. Multi-objective Optimization of Variable Speed Limit Control Strategy on Expressway[J]. Journal of Transportation Systems Engineering and Information Technology, 2023, 23(2): 252-261.

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高速公路可变限速控制策略多目标优化

Multi-objective Optimization of Variable Speed Limit Control Strategy on Expressway

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