Title :
Using Artificial Intelligence Techniques in Critical Safety Systems
Author :
Rachel, F.M. ; Cugnasca, Paulo Sergio
Author_Institution :
School of Engineering - University of S??o Paulo (EPUSP), Computer and Digital Systems Engineering Department (PCS), Safety Analysis Group (GAS), Av. Prof. Luciano Gualberto, Travessa 3, n0 158, S??o Paulo-SP, CEP 05508-900, Brazil. fmrachel@metrosp.com.b
Abstract :
In this paper, the question of artificial intelligence (AI) techniques usage is discussed in the light of European standards. An application of predictive fuzzy logic for a train control system is then presented and a solution for the question is employed. Some benefits like headway shortening and less energy consumption may be achieved. Finally, some conclusions taken from the application results lead to the possibility of using Al techniques without compromising the system safety.
Keywords :
IA techniques application; critical systems; fuzzy logic; safety engineering; train control;
Conference_Titel :
System Safety, 2006. The 1st Institution of Engineering and Technology International Conference on
Print_ISBN :
0-86341-646-2