Abstract Controlling traffic in large-scale urban road networks is a challenging problem. Aggregated dynamical models, based on the macroscopic fundamental diagram (MFD) of urban traffic, enable model-based control design. As an alternative to perimeter control actuation commonly used in MFD-based control, in this paper, we propose actuation over regional space-mean speeds, which we name average speed control. The method involves manipulation of regional speeds via instrumentation similar to variable speed limits in freeways, or using vehicle-to-infrastructure communication. We develop nonlinear model predictive control schemes considering actuation over average speed and perimeter control. Their performances are compared using simulations on congested scenarios, the results of which suggest potential of the method as an alternative or complementary actuation to perimeter control.

    Highlights A novel speed control strategy for urban networks. Manipulation of regional average speeds to optimize traffic conditions in the whole network. An MPC scheme combining perimeter control and average speed control.


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    Title :

    Nonlinear model predictive control of large-scale urban road networks via average speed control


    Contributors:


    Publication date :

    2023-09-08




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English