丁恒Ding Heng

教授

教授 博士生导师 硕士生导师

电子邮箱:

入职时间:2005-07-01

所在单位:道路与交通工程系

职务:系主任/交通工程研究所所长

学历:博士研究生毕业

办公地点:三立苑416

在职信息:在职

论文成果

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Ding Heng(∗), Qin Chenyang , Zheng Nan(∗), Meng Yuanhao, Zheng Xiaoyan, Zhang Yu. A three-dimensional extension control for the dynamic boundary entrance of congested road networks

发布时间:2023-08-23 点击次数:

影响因子:5.3
DOI码:10.1016/j.conengprac.2023.105654
所属单位:合肥工业大学
教研室:交通工程研究所
发表刊物:Control Engineering Practice
项目来源:国家自然科学基金
关键字:Traffic congestion;Dynamic perimeter control;PI control;Extension lifting control;Macroscopic fundamental diagram
摘要:The dynamics and randomness of traffic demand require changes in the scope and boundary flow of congested traffic areas in a timely manner. Because of this, existing control methods have difficulty accurately detecting the boundary flow and executing an effective control strategy. Combined with the characteristics of extension theory, this paper transforms the boundary flow of congested traffic regions into a fuzzy variable and proposes a variable structure three-dimensional extension control method. Variable structure control consists of two parts. The first part is based on the matter-element model, and the correlation function of extension theory, boundary selection and entrance metering (BSEM) is proposed to evaluate the link density data in the periphery of the congested area and determine its dynamic boundary. According to the results of boundary selection, a proportion integration (PI) controller is designed to regulate the input flow of the congested area. Then, considering the measurement error of road network outflow, an extension lifting feedback (ELF) control is proposed. ELF takes the difference between the actual outflow rate of the road network and the expected outflow rate of the macroscopic fundamental diagram (MFD) curve of the congested region as the characteristic variable, divides the road network data, and adopts different control strategies to improve the input flow adjustment accuracy in the congested area. Finally, a case analysis is performed, and the results show that compared with Bang-Bang control, PI control and BSEM for congested regions without considering outflow fluctuation control, the proposed BSEM-ELF cooperative control can effectively reduce the total delay and average fuel consumption of the road network.
论文类型:期刊论文
学科门类:工学
文献类型:J
卷号:(139
页面范围:105654
字数:12000
是否译文:
发表时间:2023-08-22
收录刊物:SCI、EI
发布期刊链接:https://www.sciencedirect.com/science/article/pii/S096706612300223X