The control and management problem for large-scale complex urban traffic network is not yet successfully addressed. There are still many difficulties in controlling such large systems, e.g. complexity, high dimension, multiple control objectives, and uncertainties. In the paper, a multi-level MPC hierarchy is proposed to address these difficulties for the control of large-scale urban traffic networks. Under the control hierarchy, a multi-level MPC algorithm is proposed, which includes three levels, the demand balance MPC, the subnetwork MPC, and the intersection controller from top to bottom. A case study is carried out to evaluate the proposed algorithm. The simulation results illustrate the effectiveness of the multi-level controller.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Model predictive control for large-scale urban traffic networks with a multi-level hierarchy


    Contributors:
    Lin, Shu (author) / Ling, Taiyu (author) / Xi, Yugeng (author)


    Publication date :

    2013-10-01


    Size :

    192212 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    Model Predictive Control for urban traffic networks via MILP

    Lin, Shu / Schutter, B. / Xi, Yugeng et al. | Tema Archive | 2010



    Study on fast model predictive controllers for large urban traffic networks

    Lin, Shu / De Schutter, Bart / Xi, Yugeng et al. | IEEE | 2009