Improvement Of A Railway Planning Tool Using
Genetic Algorithms
Author(s)
J. de D. Sanz Bobi, J. Gómez Ramírez, J. Garzón Núñez
& R. Galán López
Abstract
In this paper a new approach to a traffic planning process is presented. A new
railway line planning tool is being developed inside a more complex system that
encloses simulation and train control tools as well. Genetic Algorithms (GAs)
are used in this tool in order to lessen the time perturbations obtained by a
previous algorithm when a number of train units are retired from the line to
increase the time interval between circulations. The way these units are removed
from the line is mainly affected by two factors: the number of available retiring
points in the line and how fast this interval between train units is increased.
In the case that the interval between trains is reduced, no major problem is
presented as adding train units to the line quickly decreases the interval between
circulations. On the contrary, during the interval when trains can be retired as the
increasing of time passing between trains in the stations, significant perturbation
in the schedule of trains are produced and as is shown in the paper, GAs are able
to handle the problem in a more efficient way than linear programming models
or heuristic algorithms.
Keywords: railway planning, decision making, evolutionary techniques, Genetic
Algorithms.
1 Introduction
A traditional railway service is based on regular timetables which are modelled
as satisfaction constraint problems. Algorithms, implemented as constraint-based
local search, aims to solve problems of realistic size can be found in [3–5].
Keywords
railway planning, decision making, evolutionary techniques, Genetic
Algorithms.
Related Book
Other papers in this volume
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