Mengesha, Mamo (PhD)Abebe, Teklu2019-01-012023-11-042019-01-012023-11-042014-08http://etd.aau.edu.et/handle/123456789/15411Optimum 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.en-USspeed profilegenetic algorithmoptimizationjourney (travel) timeenergy savingtraction systemtrain movement resistanceoptimum train drivingThesis