Urban expressway, which plays a significant role in medium-and-long distance express travel, influences transport efficiency of an area in a city. The operation efficiency of an urban expressway system can be promoted by on-ramp metering (ORM). Based on ALINEA (asservissement linéaire d'entrée autoroutière) algorithm, this paper proposed an improved ALINEA method with a wavelet neural network (WNN) optimized by chicken swarm optimization (CSO). The algorithm integrates K-means algorithm to select key-point for dynamic multiple on-ramps coordinated control. The amended ALINEA method mainly aimed at solving the problems of the in-flow of the next control period and the mainline multi-lanes condition. Simulation results demonstrated that the coordinated control algorithm proposed can increase the traffic efficiency of the urban expressway.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A prediction model with wavelet neural network optimized by the chicken swarm optimization for on-ramps metering of the urban expressway


    Contributors:
    Ci, Yusheng (author) / Wu, Hailong (author) / Sun, Yichen (author) / Wu, Lina (author)

    Published in:

    Publication date :

    2022-05-04


    Size :

    10 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Traffic Flow Characteristics of Bottleneck Segment with Ramps on Urban Expressway

    Guan, Y. / Zhu, J. / Zhang, N. et al. | British Library Conference Proceedings | 2009


    Traffic Flow Characteristics of Bottleneck Segment with Ramps on Urban Expressway

    Guan, Yu / Zhu, Jishuang / Zhang, Ning et al. | ASCE | 2009


    Simulation Control Analysis of Urban Expressway Exit Ramps and Cohesion Intersections

    Huang, Wen-Juan / Li, Man / Zhang, Wei-Hua et al. | ASCE | 2016


    Traffic Management on an At-Grade Signalized Intersection Connecting to Urban Expressway Ramps

    Long, Kejun / Zheng, Jianlong / Yang, Xiaoguang et al. | ASCE | 2009