Authors:
Lin Cheng
;
Clinton Fookes
;
Vikas Reddy
and
Prasad Yarlagadda
Affiliation:
Queensland University of Technology, Australia
Keyword(s):
Group Dynamics, Agent-based Model, Airport, Passenger Flow, Simulation.
Related
Ontology
Subjects/Areas/Topics:
Agent Based Modeling and Simulation
;
Application Domains
;
Complex Systems Modeling and Simulation
;
Logistics, Traffic and Transportation
;
Sensor Networks
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Software and Architectures
Abstract:
Group interaction within crowds is a common phenomenon and has great influence on pedestrian behaviour. This paper investigates the impact of passenger group dynamics using an agent-based simulation method for the outbound passenger process at airports. Unlike most passenger-flow models that treat passengers as individual agents, the proposed model additionally incorporates their group dynamics as well. The simulation compares passenger behaviour at airport processes and discretionary services under different
group formations. Results from experiments (both qualitative and quantitative) show that incorporating group attributes, in particular, the interactions with fellow travellers and wavers can have significant influence on passenger’s activity preference as well as the performance and utilisation of services in airport terminals. The model also provides a convenient way to investigate the effectiveness of airport space design and service allocations, which can contribute to positi
ve passenger experiences. The model was created using AnyLogic software and its parameters were initialised using recent research data published in the literature.
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