Title :
A Fuzzy Petri Net approach to decision-making in case of railway track closures
Author_Institution :
ABB Corporate Res., Heidelberg, Germany
Abstract :
Modern train traffic systems have to fulfill high requirements on service reliability and availability. This becomes especially important with competitive transport markets. Train operators can only meet with these requirements by quickly developing an efficient action in case of traffic disturbances. This paper describes a dispatching support system which employs fuzzy expert knowledge. The approach is based on a fuzzy Petri net notion that combines the graphical power of Petri nets and the capabilities of fuzzy sets to model rule-based expert knowledge in a decision support system. An assistant system for train traffic control is presented, and the advantages of this fuzzy Petri net notion are shown in the context of a complex railway on-line control problem
Keywords :
Petri nets; decision support systems; expert systems; fuzzy logic; knowledge based systems; knowledge representation; rail traffic; traffic information systems; assistant system; availability; decision support system; dispatching support system; fuzzy Petri net notion; fuzzy expert knowledge; fuzzy sets; railway on-line control problem; rule-based expert knowledge; service reliability; train traffic control; train traffic systems; Availability; Decision making; Decision support systems; Dispatching; Fuzzy sets; Fuzzy systems; Petri nets; Power system modeling; Rail transportation; Traffic control;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.943680
