A Multi-Objective Airport Service Cars Location/Allocation Problem with Spatiotemporal constraints
Malek, Mohammad R.
- Conference Paper
The continuous growth of air traffic implies an increase of the number of vehicles that provide service to aircrafts. Increasing traffic in airport causes decreasing efficiency of airport operations and need to improve service operations. Location-allocation models are improved in two ways: 1) the allocation rule is developed to more accurately reflect customer choice processes; and 2) the objective function is developed to incorporate future changes. In this paper we propose a covering problem in a discrete space where the covering radius will be determined according to the flight time. In this problem the best locations of airport service cars located, so that servicing efficiency improved. Allocating of each aircraft to the service car regarding the covering time is done by finding optimum service car(s) location at minimum travel distance. This problem solved for airport providing service in different situations. There are some spatiotemporal constraints in airport field that must be considered. Some parameters including network restrictions, departure constraint and runway limitation which must be considered in developed model. Proposed method implemented for Imam Khomeini international airport and the numerical result shows that using A,B,C stations reduced traveling distance about 400 meters. In addition, service cars allocation has been implemented in a mobile information system Show more
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Van de Weghe, Nico
Book titleAdjunct Proceedings of the 14th International Conference on Location Based Services
Pages / Article No.
SubjectLocation Allocation; Spatiotemporal analysis; Airport; Service cars
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Is part of: https://doi.org/10.3929/ethz-b-000224043
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