Method of Accident Prevention Using Intelligent Control System for Railway Transport
Proceedings of the 6th International Scientific Conference "Transbaltica 2009" 2009
Mihails Gorobecs, Leonīds Ribickis, Peteris Balckars, Jānis Greivulis, Anatolijs Ļevčenkovs

This paper is devoted to propose method for prevention of train collisions. Nowadays human factor plays a significant role in control of railway system in a whole and a rolling stock in particularly. Some crashes with lethal outcomes happened in Latvia in last three years. Main reason is the driver’s inattention passing the red signal. The task is to prevent such accidents by reducing the human factor. In this paper artificial neural network controller is proposed for motion control of rolling stock and for braking way calculation to stop the train timely and safely before the dangerous point. Mathematical models and algorithm for task solution is proposed. Results of experiment show the possibility to use neural network controller for speed control of DC drive depending on the distance to stop. The results show the possibility of the developed systems to prevent accidents and to avoid different problems by intelligent diagnostic and coordination devices. Neural network may be used to prevent breakdowns and accidents and such kind of controllers may be integrated in working infrastructure for optimal speed control of railway traffic.


Atslēgas vārdi
railway transport, intelligent control, safety

Gorobecs, M., Ribickis, L., Balckars, P., Greivulis, J., Ļevčenkovs, A. Method of Accident Prevention Using Intelligent Control System for Railway Transport. No: Proceedings of the 6th International Scientific Conference "Transbaltica 2009", Lietuva, Vilnius, 22.-23. aprīlis, 2009. Vilnius: Technika, 2009, 51.-56.lpp. ISSN 2029-2376. e-ISSN 2029-2384.

Publikācijas valoda
English (en)
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