Ramp metering of freeway network based on dynamic graph hybrid automata - 文章详情页

作者：

Wu, Yuanhang (Wu, Yuanhang.) | Chen, Yangzhou (Chen, Yangzhou.) (学者：陈阳舟) | Li, Wei (Li, Wei.) | Guo, Yuqi (Guo, Yuqi.)

收录：

EI Scopus

摘要：

In　this　paper,　we　present　a　ramp　metering　strategy　to　reduce　urban　freeway　network　traffic　congestion.　In　order　to　implement　the　control　method　on　the　large-scale　urban　freeway　network,　we　apply　the　Dynamic　Graph　Hybrid　Automata　(DGHA)　and　Modified　Cell　Transmission　Model　(MCTM)　to　describe　the　evolution　laws　of　traffic　flow.　Based　on　the　DGHA　macroscopic　traffic　model,　we　design　a　complete　ramp　metering　system　for　the　freeway　network.　The　local　ramp　metering　control　strategy　is　proposed　to　reduce　the　freeway　congestion,　in　addition,　the　queue　constraint　scheme　is　employed　to　prevent　the　queue　from　exceeding　the　ramp　storage　space.　At　last,　this　approach　is　applied　to　the　Beijing　third　ring　road　by　Modelica　language　on　the　OpenModelica.　Experimental　results　validate　the　DGHA　modeling　method　and　demonstrate　the　effectiveness　of　the　ramp　metering　strategy.　©　2017　IEEE.

关键词：

作者机构：

[ 1 ] [Wu, Yuanhang]Beijing Key Laboratory of Traffic Engineering, Beijing Collaborative Innovation Center for Metropolitan Transportation, College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
[ 2 ] [Chen, Yangzhou]Beijing Key Laboratory of Traffic Engineering, Beijing Collaborative Innovation Center for Metropolitan Transportation, College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
[ 3 ] [Li, Wei]Beijing Key Laboratory of Traffic Engineering, Beijing Collaborative Innovation Center for Metropolitan Transportation, College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
[ 4 ] [Guo, Yuqi]Beijing Key Laboratory of Traffic Engineering, Beijing Collaborative Innovation Center for Metropolitan Transportation, College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China

通讯作者信息：

电子邮件地址：

查看成果更多字段

成果类型
所属机构

所有年份指定年份从至