ALINEA, a local feedback ramp-metering strategy, has been shown to be a remarkably simple, highly efficient and easy application. This paper presents a microscopic simulation-based method to optimize the operational parameters of the algorithm, as an alternative to the difficult task of fine-tuning them in real-world testing. Four parameters, including the update cycle of the metering rate, a constant regulator, the location and desired occupancy of the downstream detector station, are considered. A genetic algorithm that searches the optimal combination of parameter values is employed. Simulation results show that the genetic algorithm is able to find a set of parameter values that can optimize the performance of the ALINEA algorithm.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    GA-based parameter optimization for the ALINEA ramp metering control


    Contributors:
    Xu Yang, (author) / Lianyu Chu, (author) / Recker, W. (author)


    Publication date :

    2002-01-01


    Size :

    418240 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    GA-BASED PARAMETER OPTIMIZATION FOR THE ALINEA RAMP METERING CONTROL

    Yang, X. / Chu, L. / Recker, W. et al. | British Library Conference Proceedings | 2002


    ALINEA-Based Urban Expressway On-Ramp Metering Strategy

    Zhang, F. / Du, Y. / Sun, L. | British Library Conference Proceedings | 2009


    ALINEA Local Ramp Metering: Summary of Field Results

    Papageorgiou, M. / Hadj-Salem, H. / Middelham, F. | Transportation Research Record | 1997


    ALINEA Local Ramp Metering: Summary of Field Results

    Papageorgiou, M. / Hadj-Salem, H. / Middleham, F. et al. | British Library Conference Proceedings | 1997


    A Misapplication of the Local Ramp Metering Strategy ALINEA

    Papageorgiou, M. / Kosmatopoulos, E. / Papamichail, I. et al. | IEEE | 2008