Title :
Simulation of stochastic adaptive algorithms for embedded devices of railway safety systems
Author :
Anatoly Levchenkov;Mikhail Gorobetz
Author_Institution :
Institute of Industrial Electronics and Electrical Engineering, Riga Technical University, Riga, Latvia
fDate :
5/1/2015 12:00:00 AM
Abstract :
The simulation approach for assessment of adaptive algorithms based on stochastic search is described in this paper. In this research, the adaptive algorithms are used for railway safety system to improve existing braking by automatic smooth and precise braking of a train, avoiding passing the restrictive signal and prevent crashes. Simulation results are grouped for different types of trains to test the ability and efficiency of adaptive algorithms to find the solution in a wide range of conditions and situations.
Keywords :
"Force","Adaptation models","Simulation","Mathematical model","Rail transportation","Railway safety"
Conference_Titel :
Power Engineering, Energy and Electrical Drives (POWERENG), 2015 IEEE 5th International Conference on
Print_ISBN :
978-1-4673-7203-9
Electronic_ISBN :
2155-5532
DOI :
10.1109/PowerEng.2015.7266354