Blocking Time Reduction For Level Crossings
Using The Genetic Algorithm
Author(s)
Y. Noguchi, H. Mochizuki, S. Takahashi, H. Nakamura,
S. Kaneko & M. Sakai
Abstract
The blocking time of a level crossing influences traffic on a road that crosses a
rail line. The blocking time of a level crossing will be especially long on a heavy
traffic rail line. The purpose of this paper is to reduce the blocking time of level
crossings by optimising the railroad schedule. We propose an optimal schedule
in which the departure time at each station is delayed minutely from the time of
the planned schedule. Since there are many trains on a heavy traffic rail line, the
number of combinations of minutely adjusted departure times will be enormous.
We used the genetic algorithm (GA) for searching for an optimal railroad
schedule. The delay time for each train at each station is used as a gene value,
and a chromosome is composed by connecting the genes for each train. The
fitness value is the total blocking time of all level crossings on the model rail
line. Results for the computer simulation show that our optimal railroad
schedule gives a shorter total blocking time compared with the planned schedule.
In addition, we report our examination of a composition of the GA calculation
with a grid computing technology for the purpose of reducing the GA operation
time
Keywords: level crossing, railroad schedule, genetic algorithm, grid computing.
1 Introduction
At present, on Japanese railroads, an increase of passenger transportation
capacity is brought about by an increase in the number of trains and an increase
in the number of cars to a train. This leads to lengthening the time that a level
crossing is blocked by trains going up and down. As a result, there is a problem
Keywords
level crossing, railroad schedule, genetic algorithm, grid computing.
Related Book
Other papers in this volume
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