Abstract The paper proposes a binary integer programming model for the computation of optimal traffic signal offsets for an urban road network. The basic theoretical assumptions for the computation of delay on the network are those employed by the main models developed during the last few years. The set of input data coincides with that needed for the Combination Method and its extensions. The model is solved through a branch-and-backtrack method and allows the obtaining of optimal offsets for condensable or uncondensable networks without introducing any special assumption on delay-offset functions, contrary to what occurs within other mathematical programming formulations of the problem. A reduced memory dimension is required by the developed algorithm, which promptly supplies during the computation better and better sub-optimal solutions, very interesting in view of the possible application of the method to real-time control problems. The tests performed show that the method can be applied to networks of practical size.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Optimal offsets for traffic signal systems in urban networks


    Contributors:
    Improta, G. (author) / Sforza, A. (author)

    Published in:

    Publication date :

    1981-01-17


    Size :

    19 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Optimization of Traffic Signal Offsets with High Resolution Event Data

    Day, Christopher M. / Bullock, Darcy M. | ASCE | 2019


    Detector-Free Optimization of Traffic Signal Offsets with Connected Vehicle Data

    Day, Christopher M. / Li, Howell / Richardson, Lucy M. et al. | Transportation Research Record | 2017




    Data-Driven Algorithms for Real-Time Adaptive Tuning of Offsets in Coordinated Traffic Signal Systems

    Gettman, Douglas / Shelby, Steven G. / Head, Larry et al. | Transportation Research Record | 2007