Al-widyan, FS, Kirchner, N & Zeibots, M 2015, 'An empirically verified Passenger Route Selection Model based on the principle of least effort for monitoring and predicting passenger walking paths through congested rail station environments', Australasian Transport Research Forum 2015 Proceedings, Australasian Transport Research Forum, ATRF, Sydney, Australia.
Crowding at egress points and waiting areas in public transport environments during peak
periods can potentially impede passenger movements, causing delays to scheduled
services. Passenger modelling is a complex task. There are relatively few models able to
simulate the complex behavioural characteristics of large volumes of people walking through
confined public transport environments such as rail station concourse and platform areas.
With the aid of robotic sensing technology however, rich data can be acquired to provide high
quality inputs on which passenger behaviour models can be based.
This paper presents a methodology for predicting the preferred route selected by passengers
during their egress. Proposed in this paper are a basic principle and a methodology for route
choice based on the least effort that a passenger may consume during their travel between
destinations. The methodology proposed takes into consideration the movement based
passenger and congestion state. We employ the principle of least effort, formulated in terms
of a metabolic energy, and congestion states. Our approach uses a new mathematical model
for representing effort expended for each path, based on a formulation that minimizes the
total amount of metabolic energy used when moving on a trajectory. Using results from an
empirical study at Brisbane Central rail station, we show our approach collates well with real
patterns of passenger egress. Our discussion concludes with an overview of how our
approach could be used by rail service providers to optimise operations and improve