Modelling Passengers Flow at Airport Terminals - Individual Agent Decision Model for Stochastic Passenger Behaviour

Wenbo Ma, Clinton Fookes, Tristan Kleinschmidt, Prasad Yarlagadda

2012

Abstract

Airport system is complex. Passenger dynamics within it appear to be complicate as well. Passenger behaviours outside standard processes are regarded more significant in terms of public hazard and service rate issues. In this paper, we devised an individual agent decision model to simulate stochastic passenger behaviour in airport departure terminal. Bayesian networks are implemented into the decision making model to infer the probabilities that passengers choose to use any in-airport facilities. We aim to understand dynamics of the discretionary activities of passengers.

References

  1. Andreatta, G., L. Brunetta, et al. (2007). "Evaluating terminal management performances using SLAM: The case of Athens International Airport." Computers & Operations Research 34(6): 1532-1550.
  2. Fu, X. and A. Zhang (2010). "Effects of Airport Concession Revenue Sharing on Airline Competition and Social Welfare." Journal of Transport Economics and Policy (JTEP) 44(2): 119-138.
  3. Gatersleben, M. R. and S. W. Van der Weij (1999). Analysis and simulation of passenger flows in an airport terminal. Simulation Conference Proceedings, 1999 Winter.
  4. International Air Transport Association (IATA) (1997): 'IATA Policy on User Charges Aspects of the Commercialization of Airports and Air Tra c Service Entities', International Air Transport Association, Montreal.
  5. Kevin B. Korb, Ann E. Nicholson, 2011. Bayesian Aritificial Intelligence, CRC Press Taylor & Francis Group. NW, 2nd edition.
  6. Kleinschmidt, T., X. Guo, et al. (2011). Including airport duty-free shopping in arriving passenger simulation and the opportunities this presents. Proceedings of the 2011 Winter Simulation Conference, Phoenix, AZ, USA.
  7. Ma, W., T. Kleinschmidt, et al. (2011). Check-in processing : simulation of passengers with advanced traits. Proceedings of the 2011 Winter Simulation Conference, Phoenix, AZ, USA.
  8. Takakuwa, S. and T. Oyama (2003). Modeling people flow: simulation analysis of international-departure passenger flows in an airport terminal. Proceedings of the 35th conference on Winter simulation: driving innovation. New Orleans, Louisiana, Winter Simulation Conference: 1627-1634.
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Paper Citation


in Harvard Style

Ma W., Fookes C., Kleinschmidt T. and Yarlagadda P. (2012). Modelling Passengers Flow at Airport Terminals - Individual Agent Decision Model for Stochastic Passenger Behaviour . In Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-8565-20-4, pages 109-113. DOI: 10.5220/0004055701090113


in Bibtex Style

@conference{simultech12,
author={Wenbo Ma and Clinton Fookes and Tristan Kleinschmidt and Prasad Yarlagadda},
title={Modelling Passengers Flow at Airport Terminals - Individual Agent Decision Model for Stochastic Passenger Behaviour},
booktitle={Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2012},
pages={109-113},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004055701090113},
isbn={978-989-8565-20-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Modelling Passengers Flow at Airport Terminals - Individual Agent Decision Model for Stochastic Passenger Behaviour
SN - 978-989-8565-20-4
AU - Ma W.
AU - Fookes C.
AU - Kleinschmidt T.
AU - Yarlagadda P.
PY - 2012
SP - 109
EP - 113
DO - 10.5220/0004055701090113