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Title: Robust assignment of airport gates with operational safety constraints
Authors: Liu, Shuo
Chen, Wen-Hua
Liu, Jiyin
Keywords: Gate assignment problem
Operational safety constraints
Robust optimization
Conflict avoidance
Genetic algorithm
Airports
Issue Date: 2016
Publisher: Springer (© Institute of Automation, Chinese Academy of Sciences and Springer)
Citation: LIU, S., CHEN, W.-H., and LIU, J., 2016. Robust assignment of airport gates with operational safety constraints. International Journal of Automation and Computing, 13 (1), pp.31-41.
Abstract: This paper reviews existing approaches to the airport gate assignment problem (AGAP) and presents an optimization model for the problem considering operational safety constraints. The main objective is to minimize the dispersion of gate idle time periods (to get robust optimization) while ensuring appropriate matching between the size of each aircraft and its assigned gate type and avoiding the potential hazard caused by gate apron operational conflict. Genetic algorithm is adopted to solve the problem. An illustrative example is given to show the effectiveness and efficiency of the algorithm. The algorithm performance is further demonstrated using data of a terminal from Beijing Capital International Airport (PEK).
Description: THIS DOCUMENT WILL REMAIN CLOSED ACCESS UNTIL 12/01/2017. The final publication is available at Springer via http://dx.doi.org/10.1007/s11633-015-0914-x.
Version: Accepted for publication
DOI: 10.1007/s11633-015-0914-x
URI: https://dspace.lboro.ac.uk/2134/20895
Publisher Link: http://dx.doi.org/10.1007/s11633-015-0914-x
ISSN: 1476-8186
Appears in Collections:Closed Access (Business School)

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