Using advanced traits of passengers to facilitate route-choice decision-making

Ma, Wenbo, Yarlagadda, Prasad K., & Fookes, Clinton (2012) Using advanced traits of passengers to facilitate route-choice decision-making. In Gu, YuanTong (Ed.) Proceedings of the 4th International Conference on Computational Methods (ICCM2012), Crowne Plaza, Gold Coast, Qld.

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Research interest in pedestrian behaviour spans the retail industry, emergency services, urban planners and other agencies. Most models to simulate and model pedestrian movement can be distinguished on the basis of geographical scale, from the micro-scale movement of obstacle avoidance, through the meso-scale of individuals planning multi-stop shopping trips, up to the macro-scale of overall flow of masses of people between places. In this paper, route-choice decision-making model is devised for modelling passengers flow in airport terminal. A set of devised advanced traits of passengers is firstly proposed. Advanced traits take into account a passenger’s cognitive preferences and demonstrate underlying motivations of route-choice decisions. Although the activities of passengers are normally regarded as stochastic and sometimes unpredictable, real scenarios of passenger flows are basically feasible to be compared with virtual simulations in terms of tactical route-choice decision-making.

Passengers in the model are as intelligent agents who possess a bunch of initial basic traits and are categorized into five distinguish groups in terms of routing preferences. Route choices are consecutively determined by inferring current advanced traits according to the utility matrix.

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ID Code: 54427
Item Type: Conference Paper
Refereed: Yes
Keywords: advanced traits, route-choice, decision-making, passengers, airport
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000)
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 [please consult the authors]
Deposited On: 31 Oct 2012 22:50
Last Modified: 02 Jul 2015 05:13

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