Genetic Algorithm for Intelligent Braking Controller in Railway Transport System

Proceedings of the 18th International Symposium „Revitalisation of Economy - New Challenge for European Railways“ (EURO - Zel 2010) 2010
Mihails Gorobecs, Anatolijs Ļevčenkovs, Peteris Balckars, Leonīds Ribickis

The purpose of the research is to prevent railway accidents by reducing the human factor. Authors propose to use genetic algorithms for train's braking system controllers to be used for optimal routing and scheduling tasks on big railway stations. Mathematical models and target function of optimal braking controller with genetic algorithm are developed The results of computer modeling of proposed controllers in railway transport systems show the possibility to avoid crashes and detect dangerous conflict points on the way. As a result of research the experimental train emergency braking device is invented.

Keywords
Genetic Algorithm, Railway Transport System
Hyperlink
http://alephfiles.rtu.lv/kolekcija/2010_EURO-Zel_Genetic.pdf

Gorobecs, M., Ļevčenkovs, A., Balckars, P., Ribickis, L. Genetic Algorithm for Intelligent Braking Controller in Railway Transport System. In: Proceedings of the 18th International Symposium „Revitalisation of Economy - New Challenge for European Railways“ (EURO - Zel 2010), Slovakia, Žilina, 26-27 May, 2010. Žilina: Žilinska univerzita, 2010, pp.185-192. ISBN 9788055401973.

Publication language
English (en)