Case study of urban expressway traffic flow based on high-order continuum model

被引:0
|
作者
Department of Transportation Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China [1 ]
不详 [2 ]
机构
来源
Tongji Daxue Xuebao | 2007年 / 5卷 / 602-606期
关键词
Highway administration - Highway engineering - Highway planning - Highway systems - Traffic control;
D O I
暂无
中图分类号
学科分类号
摘要
This paper first presents a brief literature review of the existing macroscopic traffic flow models for expressways. And then, based on the real traffic data for both congested and uncongested flow of the expressways in Shanghai of China, an investigation is conducted on the modeling performance of the Papageorgiou model, a commonly used high-order continuum model. Parameter identification of the model is formulated as a parameter optimization problem which is solved by a heuristic searching procedure. Moreover, a stability analysis with respect to parameter changes is made. Analysis results show the model has a satisfactory performance in modeling the complicated non-linear urban expressway traffic flow behaviors in China. This paper's work can support the design of the expressway traffic control system.
引用
收藏
相关论文
共 50 条
  • [21] Study on Traffic Flow Parameters Model of Expressway Interchanges Opening Distance
    Liu Wei
    Chen Xia
    Hu Ayong
    SUSTAINABLE ENVIRONMENT AND TRANSPORTATION, PTS 1-4, 2012, 178-181 : 2623 - +
  • [22] Incident Detection Method of Expressway Based on Traffic Flow Simulation Model
    Li, Shu-Bin
    Sun, Tao
    Cao, Dan-Ni
    Zhang, Lin
    COMMUNICATIONS IN THEORETICAL PHYSICS, 2019, 71 (04) : 468 - 474
  • [23] Incident Detection Method of Expressway Based on Traffic Flow Simulation Model
    李树彬
    孙涛
    曹丹妮
    张琳
    Communications in Theoretical Physics, 2019, 71 (04) : 468 - 474
  • [24] Urban expressway traffic state forecasting based on multimode maximum entropy model
    SUN XiaoLiang1
    2School of Traffic and Transportation
    3Beijing Traffic Management Bureau
    Science China(Technological Sciences), 2010, (10) : 2808 - 2816
  • [25] Urban expressway traffic state forecasting based on multimode maximum entropy model
    XiaoLiang Sun
    LiMin Jia
    HongHui Dong
    Yong Qin
    Min Guo
    Science China Technological Sciences, 2010, 53 : 2808 - 2816
  • [26] Urban expressway traffic state forecasting based on multimode maximum entropy model
    SUN XiaoLiang JIA LiMin DONG HongHui QIN Yong GUO Min State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing ChinaSchool of Traffic and Transportation Beijing Jiaotong University Beijing ChinaBeijing Traffic Management Bureau Beijing China
    Science China(Technological Sciences), 2010, 53 (10) : 2808 - 2816
  • [27] Study on the traffic capacity of Expressway Based on cellular automata model
    Yu, Wangyang
    Zhao, Yadong
    Hu, Chengyang
    Zhang, Jiangnan
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, KNOWLEDGE ENGINEERING AND INFORMATION ENGINEERING (SEKEIE 2014), 2014, 114 : 62 - 65
  • [28] Urban expressway traffic state forecasting based on multimode maximum entropy model
    Sun XiaoLiang
    Jia LiMin
    Dong HongHui
    Qin Yong
    Guo Min
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2010, 53 (10) : 2808 - 2816
  • [29] Characteristic parameters identification of macro traffic flow on urban expressway
    Chen, Dashan
    SUSTAINABLE DEVELOPMENT AND ENVIRONMENT II, PTS 1 AND 2, 2013, 409-410 : 1209 - 1212
  • [30] Urban Expressway Congestion Forewarning Based on Slope Change of Traffic Flow Fundamental Diagram
    Chen, Yanyan
    Li, Shiwei
    Pan, Yuyan
    Zhang, Jian
    JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS, 2022, 148 (06)