A Fast Method For Estimating Railway
Passenger Flow
Author(s)
Y. Nagasaki, M. Asuka & K. Komaya
Abstract
To improve the situation for crowded commuters in Japan, it is important to plan
a train schedule that considers passenger behavior, such as their choice of trains
and the transfer stations used to reach their destinations. However, it is difficult
to directly measure such detailed behavior using the present infrastructures, with
which we can only get OD (Origin-Destination) data from the automatic ticket
gates. The obtained OD data only consists of the number of passengers for each
origin-destination and the time each passenger passes through the gates. In this
article, to contribute to the planning phase of a new train schedule, the authors
propose a method for estimating railway passenger flow using OD data. This
paper firstly points out that the problems of estimating passenger flow can be
boiled down to a shortest path problem of graph theory by assuming a certain
passenger behavior model. By representing train operations in a graph structure,
we can assume that a passenger will use the minimum cost path to his/her
destination. This paper secondly proposes a method for conducting fast searches
of the graph structure. The method uses the fact that railways operate on a time
schedule. This method can estimate passenger flow fast enough so as to apply it
to a practical train schedule planning support system. Lastly, the authors show
the results of applying the passenger flow estimation system to a railway in an
urban area in Japan.
Keywords: train schedule evaluation, passenger flow estimation, graph theory,
shortest path problem, incremental assignment procedure.
1 Introduction
Currently, planning train schedules depends mainly on expert planners’
experiences and intuitions, although a computer based decision support system is
gradually appearing. To promote the use of a computer assistance system in a
Keywords
train schedule evaluation, passenger flow estimation, graph theory,
shortest path problem, incremental assignment procedure.
Related Book
Other papers in this volume
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