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基于CPS的单交叉口信号滚动优化控制模型

卢凯 陈恒宇 江书妍 李余 樊舒颖 李林

东南大学学报(自然科学版)2024,Vol.54Issue(2):379-388,10.
东南大学学报(自然科学版)2024,Vol.54Issue(2):379-388,10.DOI:10.3969/j.issn.1001-0505.2024.02.015

基于CPS的单交叉口信号滚动优化控制模型

CPS-based rolling optimization control model for single intersection signal

卢凯 1陈恒宇 2江书妍 2李余 2樊舒颖 2李林3

作者信息

  • 1. 华南理工大学土木与交通学院,广州 510640||东南大学现代城市交通技术江苏高校协同创新中心,南京 211189||人工智能与数字经济广东省实验室(广州),广州 510330
  • 2. 华南理工大学土木与交通学院,广州 510640
  • 3. 深圳市城市交通规划设计研究中心股份有限公司,深圳 518000
  • 折叠

摘要

Abstract

To improve the traffic efficiency at single intersections using modern information technology,a roll-ing optimization control architecture for the single intersection signal was developed based on the cyber-physi-cal systems(CPS)by comprehensively considering the characteristics and functions of the CPS.A layered modeling approach and framework for optimizing signal control at intersections was proposed to describe the intersection states at different levels.A CPS-based layered rolling optimization model was constructed for real-time signal optimization in different traffic environments using the expected average delay per unit time for ve-hicles and the weighted queue length ratio as the optimization objectives,respectively.A real-time interactive simulation environment based on SUMO and Python was established for conducting case studies on three traffic scenarios including unsaturated,oversaturated,and varying saturation states.The results show that compared with Transyt,Synchro,Webster,induction control,and traffic carrying capacity methods,the proposed model achieves better control effects.The average vehicle delay and the average queue length can be decreased by 43.75%and 16.05%at most,respectively.The overflow time can be extended by 37.93%at most.

关键词

交通工程/信息物理系统/信号交叉口/滚动优化/分层建模

Key words

traffic engineering/cyber-physical systems/signal intersection/rolling optimization/layered modeling

分类

交通工程

引用本文复制引用

卢凯,陈恒宇,江书妍,李余,樊舒颖,李林..基于CPS的单交叉口信号滚动优化控制模型[J].东南大学学报(自然科学版),2024,54(2):379-388,10.

基金项目

国家自然科学基金面上资助项目(52172326,61773168)、广东省基础与应用基础研究基金资助项目(2020B1515120095)、广州市重点研发计划重点专项资助项目(202103050002). (52172326,61773168)

东南大学学报(自然科学版)

OA北大核心CSTPCD

1001-0505

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