Title :
Fuzzy algorithm for real-time train dispatch and control
Author :
Tazoniero, Alexandre ; Gonçalves, Rodrigo ; Gomide, Fernando
Author_Institution :
Unicamp-FEEC-DCA, State Univ. of Campinas, Brazil
Abstract :
This paper discusses a knowledge based system that uses fuzzy set techniques to plan train circulation in freight railroads. Its purpose is to aid train dispatchers in decision making and traffic control in real time. The system uses decision procedures based on fuzzy rules with the purpose of driving train circulation as closed as possible to reference trajectories. It can easily incorporate operational knowledge and dispatcher experience as a part of the decision making strategy. A major characteristic of the system concerns its ability to provide feasible circulation plans in real time. Incorporation of practical knowledge and real time response are key requirements for control and traffic management in train control rooms.
Keywords :
decision making; fuzzy set theory; rail traffic; real-time systems; traffic control; freight railroad; fuzzy rules; fuzzy set theory; knowledge based system; practical knowledge; real time response; real time traffic control; real time train dispatching control; reference trajectory; traffic management; train circulation planning; Automatic control; Communication system traffic control; Control systems; Decision making; Fuzzy control; Fuzzy sets; Fuzzy systems; Knowledge based systems; Switches; Traffic control;
Conference_Titel :
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN :
0-7803-9187-X
DOI :
10.1109/NAFIPS.2005.1548557