The Cooperative Intersection Control (CIC) methodology ensures a safe, smooth traffic flow through an automated intersection by means of virtual platooning. In this paper, we address the design of a centralised supervisory controller for CIC which optimises the crossing sequence of vehicles. We propose an approach in which the intersection as a whole is modelled as a hybrid system, which evolves in both continuous-time and in discrete-time. This hybrid system model resembles a queueing system, and relates the entry of vehicles into the intersection to a measure of the delay of their travel through the intersection. We design a supervisory controller using Model Predictive Control (MPC), which aims to minimise the vehicles’ average delay by controlling their access to the intersection. A simulation study based on real-life data demonstrates the effectiveness of the MPC approach compared to a first-come-first-served (FCFS) policy and a conventional traffic light controller. This study shows that MPC achieves a faster transient response and a lower average delay, thereby increasing the throughput of the intersection.


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    Title :

    Design of a supervisory controller for cooperative intersection control using model predictive control


    Contributors:

    Publication date :

    2018-01-01


    Remarks:

    Creemers , F M G , Morales Medina , A I , Lefeber , A A J & van de Wouw , N 2018 , ' Design of a supervisory controller for cooperative intersection control using model predictive control ' , IFAC-PapersOnLine , vol. 51 , no. 33 , pp. 74-79 . https://doi.org/10.1016/j.ifacol.2018.12.096



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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