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消除高速公路运动波的可变限速控制方法
引用本文:韩雨,郭延永,张乐,刘攀.消除高速公路运动波的可变限速控制方法[J].中国公路学报,2022,35(1):151-158.
作者姓名:韩雨  郭延永  张乐  刘攀
作者单位:1. 东南大学交通学院, 江苏 南京 211189;2. 南京理工大学经济管理学院, 江苏 南京 210094
基金项目:国家自然科学基金项目(52002065,52131203);江苏省基础研究计划项目(BK20200378)
摘    要:运动波是高速公路一种常见的交通拥堵,可通过可变限速控制有效消除。近年来,研究中提出了大量消除高速公路运动波的可变限速控制方法,却鲜有方法成功落地应用。可变限速控制方法的成功应用需满足3个基本条件,即模型预测的准确性,优化求解的实时性,以及控制方案的安全性,而当前研究中的方法难以同时满足上述基本条件。因此,为提高高速公路交通效率,保障高速公路交通安全,提出了消除高速公路运动波的可变限速优化控制方法。构建了模拟运动波传播的离散一阶交通流模型,解析了可变限速控制对交通效率及安全的影响机理,建立了提升交通效率、保障交通安全的可变限速优化控制方法。利用数值仿真模拟,测试了轻微拥堵与严重拥堵2种不同场景下限速控制方法的控制效果,评估了控制方法在提升交通效率和安全方面的表现,对比了所提方法与文献经典方法在控制效果上的优劣。结果表明:可变限速优化控制方法在2种场景下降低总行程时间分别为10.1%和10.6%,降低事故风险指标TET分别为72.6%和73.1%,降低事故风险指标TIT分别为92.4%和82.9%。与文献方法相比,在预测模型准确性以及对交通流效率与安全的改善方面均有提升,其中在严重拥堵测试场景下,效果提升更为显著。

关 键 词:交通工程  运动波  可变限速  交通效率与安全  优化控制  
收稿时间:2021-05-21

An Optimal Variable Speed Limit Control Approach Against Freeway Jam Waves
HAN Yu,GUO Yan-yong,ZHANG Le,LIU Pan.An Optimal Variable Speed Limit Control Approach Against Freeway Jam Waves[J].China Journal of Highway and Transport,2022,35(1):151-158.
Authors:HAN Yu  GUO Yan-yong  ZHANG Le  LIU Pan
Affiliation:1. School of Transportation, Southeast University, Nanjing 211189, Jiangsu, China;2. School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China
Abstract:Jam waves are a typical type of traffic congestion on freeways that can be effectively resolved using variable speed limits (VSLs). Recently, many VSL control approaches against freeways jam waves have been proposed. However, very few have been successfully implemented in the field. The successful implementation of a VSL control approach must satisfy the following conditions:① reasonable prediction accuracy, ② fast computation speed that is real-time applicable, and ③ safe control actions. Most state-of-the-art VSL control approaches cannot satisfy all three conditions. Therefore, in this study, an optimal control approach for VSLs against freeway jam waves is proposed to improve traffic efficiency and traffic safety on freeways. First, a discrete first-order traffic flow model was developed to reproduce the propagation of the jam waves. Second, the mechanisms of VSLs against jam waves were analyzed. Subsequently, the optimal VSL control approach was developed based on the traffic flow model and VSL mechanisms. Numerical experiments were performed to test the proposed approach in two different scenarios, including a light jam wave and a severe jam wave, via numerical experiments. The proposed approach was also compared with a state-of-the-art VSL control approach. The results indicate that the proposed VSL control reduced the total travel time (TTS) by 10.1% and 10.6% in the two scenarios, respectively. Moreover, it reduced the crash risk index TET by 72.6% and 73.1% and TIT by 92.4% and 82.9%, respectively. The proposed approach achieved better performance than the state-of-the-art approach in terms of traffic prediction accuracy and improved traffic flow efficiency and safety, particularly in the severe jam wave testing scenario.
Keywords:traffic engineering  jam wave  variable speed limit  traffic efficiency and safety  optimal control  
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