Studies on the optimization of train using improved genetic algorithm

In this paper, in view of the research achievements of domestic and oversea researchers, the energy-saving manipulation strategies are designed for the train operation between stations by using the genetic algorithm, which synthesize the knowledge of train traction calculation and the characteristic of locomotive traction and braking. The energy-saving control strategy is based on the train maximum acceleration traction control, and timely changing into coasting when reaching the speed limited point in order to make full use of the kinetic energy of a train and reducing the unnecessary braking between stations. In general, the energy saving running status sequence is composed with four parts which are called accelerating and holding and coasting as well as decelerating. After the determination of control strategy, in this paper, some different distances and different gradients as well as speed limits of the station are considered, the configuration laws are concluded for the coasting times with the distance of the station and the gradient.