Analysis of temporal uncertainty of trains converging based on fuzzy time petri nets

Authors:
Yangdong Ye;Juan Wang;Limin Jia
Affiliations:
Department of Computer Science, Zhengzhou University, Zhengzhou, China;Department of Computer Science, Zhengzhou University, Zhengzhou, China;School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Year:
2005

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Abstract

The paper defines a fuzzy time Petri net (FTPN) which adopts four fuzzy set theoretic functions of time called fuzzy timestamp, fuzzy enabling time, fuzzy occurrence time and fuzzy delay, to deal with temporal uncertainty of train group operation and we also present different firing strategies for the net to give prominence to key events. The application instance shows that the method based on FTPN can efficiently analyze trains converging time, the possibility of converging and train terminal time in adjustment of train operation plan. Compared with time interval method, this method has some outstanding characteristics such as accurate analysis, simple computation, system simplifying and convenience for system integrating.