Newly Developed Simple Railway Timetable
Evaluation Program Sujic With The New Model
To Deal With Re-scheduling
Author(s)
R. Takagi
Abstract
Many attempts have been made in recent years to automate fully the task of
generating railway timetables, mainly by using one of the numerical optimisation
techniques. Virtually all of these attempts depend on some kind of technique to
evaluate the timetable. Upon evaluation of a railway timetable, it is important to
take into account the passengers’ points of view, including the disbenefit
(inconvenience) for any single passenger during his/her entire journey on the
railway. As one of such evaluators, Sujic was first developed in 1988, and rewritten
in 1996, at the research group at the University of Tokyo, and has since
been used by many researchers in a number of universities in Tokyo. However,
this program is slow and memory-eating because of its poor implementation of
path search algorithms. Also, the program has no capability to deal with rescheduling.
The standard Dijkstra’s algorithm could not be used by the old Sujic program
because of the path search criteria. In the new Sujic, the author applied the
slightly modified Dijkstra’s algorithm and drastically improved the efficiency of
the search without changing the criteria, the efficiency of the search has
drastically improved.
The evaluation of train re-scheduling is slightly different from that of
scheduling because the arrival and departure times of trains that passengers
expect (which is the scheduled times) are different from the actual arrival and
departure times under re-scheduling. Although evaluation can be performed by
simply providing old Sujic with the actual timetables, it yields a result in which
passengers act as if they \“expect” that an accident will happen in the future. In
the new version, this problem is addressed by adding the functionality to use
multiple schedules in one evaluation.
Keywords
optimization, simulation, passenger activity, train timetabling, re-scheduling, electric railway
Related Book
Other papers in this volume
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