Title :
Railway dispatch planning and control
Author :
Vieira, Paulo ; Neto, Luis Elesbão ; Bessa, Eduardo ; Gomide, Fernando
Author_Institution :
MRS Logistica S.A., Juiz de Fora, Brazil
Abstract :
The paper describes a knowledge based system that employs fuzzy set techniques to analyze train movements and to help dispatchers guide the train in the best possible way. The system uses decision procedures based on operational rules derived from experience and practical constraints. Tested at a major iron ore railway, the system has shown to be an effective tool to enhance dispatcher´s decision making ability. This means cost effective transportation, higher production rate, and smoother, safer operation
Keywords :
fuzzy set theory; goods dispatch data processing; knowledge based systems; rail traffic; railways; traffic control; uncertainty handling; cost effective transportation; decision procedures; dispatcher decision making ability; fuzzy set techniques; knowledge based system; major iron ore railway; operational rules; practical constraints; production rate; railway dispatch control; railway dispatch planning; safe operation; train movements; Automatic control; Centralized control; Communication system control; Communication system traffic control; Control systems; Iron; Knowledge based systems; Rail transportation; Switches; Traffic control;
Conference_Titel :
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5211-4
DOI :
10.1109/NAFIPS.1999.781669
