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.
Multi‐objective optimization of cordon sanitaire with vehicle waiting time constraint
IET Intelligent Transport Systems ; 15 , 7 ; 929-940
2021-07-01
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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