Crowd behaviour modelling developments through mixed integer programming : the case of airport queue management

Doostmohammadi, Mahdi (University of strathclyde Glasgow, UK) ; Fragnière, Emmanuel (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis) ; University of Bath, UK) ; Holdsworth, Rosanna (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis) ; University of Bath, UK)

Crowd behaviour is difficult to predict and might not be easy to translate. A number of mathematical and psychological models are proposed in the literature to investigate crowd behaviour. In this paper, we exploit mixed integer programming to model crowd behaviour with multiple time periods. This research improves upon methods by Breer et al. (2015) for determining the number of active agents and solving the problem of reducing this number by controlling reputations in a single period, under the added assumption of a reputation model of interactions (Granovetter, 1978). Thus, this paper goes on to extend the single period reputation control problem and solution to the case of multiple time periods. This class of problems requires a mixed integer program to be solved several times with a varying constraint and a varying number of variables. This model is then supported by a promising case study of queue management at airport security gates.


Keywords:
Conference Type:
published full paper
Faculty:
Economie et Services
School:
HEG-VS
Institute:
ITO-Institut de Tourisme
Subject(s):
Economie/gestion
Publisher:
Oxford, United Kingdom, 11-13 February 2020
Date:
2020-02
Oxford, United Kingdom
11-13 February 2020
Pagination:
Pp. 32-36
Published in:
Proceedings of 2020 9th International Conference on Industrial Technology and Management (ICITM)
DOI:
ISBN:
978-1-7281-4306-4
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2020-11-24, last modified 2020-11-26

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