The outbreak of COVID‐19 has disrupted our regular life. Many local authorities have enforced a cordon sanitaire for the protection of sensitive areas. Travelers can only travel across the cordon after getting qualified. This paper aims to propose a method to determine the optimal deployment of cordon sanitaire in terms of the number of parallel checkpoints at each entry link. A bi‐level multi‐objective programming model is formulated where the lower‐level is the transportation system equilibrium with queueing to predict link traffic flow, and the upper‐level is queueing network optimization that is a multi‐objective integer non‐linear programming. The primary objective is to minimize the total operation cost of checkpoints with a predetermined waiting time constraint and the secondary objective is to minimize system total travel time. A heuristic algorithm is designed to solve the proposed bi‐level model where the method of successive averages is adopted for the lower‐level model, and a hybrid genetic algorithm is designed for the upper‐level model. An experimental study is conducted to demonstrate the effectiveness of the proposed methods. The results show that the methods can find a good heuristic optimal solution. These methods are useful for operators to determine the optimal deployment of cordon sanitaire.


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    Titel :

    Multi‐objective optimization of cordon sanitaire with vehicle waiting time constraint


    Beteiligte:
    Lin, Hongzhi (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2021-07-01


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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