Addis Ababa City Light Railway Transit Speed Profile for Optimum Train Drive: Case of Line from Menelik Square to Kality
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Date
2014-08
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AAU
Abstract
Optimum train driving is the key aspect of railway transportation development and
depends on energy consumed, passenger comfort and punctuality. In this thesis three
mathematical models have been developed considering nearly all traction mechanics and
track information to generate appropriate speed profile. The first problem solved is
minimization of energy consumed whereby the given journey must be completed on the
allocated time. The second problem is minimization of journey time to complete the given
journey; here the maximum energy consumed (the drive rating not to be exceeded) for
fastest train drive is taken as one of the constraints. The third problem is designed to have
different speed profile for different traffic condition ranging from high to low exempting
the two extremes. In order to generate appropriate speed of the train at each discrete
point, we used genetic algorithm with Deb’s constraint handling technique. Finally, we
implemented the problems for North to South line of Addis Ababa light railway transit.
The result obtained from simulation helps the driver to attain the required driving
performance by driving the train with the respective speed profile.
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Keywords
speed profile, genetic algorithm, optimization, journey (travel) time, energy saving, traction system, train movement resistance, optimum train driving