An Agent-Based Simulation of Air Travel Itinerary Choice | Zendy

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An Agent-Based Simulation of Air Travel Itinerary Choice

Author(s) -

Roger Parker

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.419

Subject(s) - air travel , computer science , discrete choice , sample (material) , travel behavior , simulation , operations research , transport engineering , aviation , machine learning , aerospace engineering , chemistry , chromatography , engineering

The AirMarkets Simulator™ utilizes an agent-based model of individual air travel passengers to represent and hence explore the commercial air travel system. The ABM is built on a discrete choice random utility model, and simultaneously replicates the behavior of every passenger travelling in every air market in the world. The discrete choice decision model is described in detail, along with how it portrays the dynamics of air travel and air travel pricing. Sample results are offered, including an illustration of the empirical limits of a random market behavior such as air travel.

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