EVENT-DRIVEN FUZZY CONTROL FOR AUTOMATIC EMERGENCY RESCHEDULING IN DCRAILWAY SYSTEM

This paper proposes the application of predictive fuzzy logic control in an event driven framework for emergency rescheduling of DC railway system. In particular, the paper addresses the train dwell-time contro l. By automatic train rescheduling, the algorithm is designed to provi de optimal performance associated with regularity, headway, congestion level and passenger comfort. Studies were carried out to assess the p erformance of the proposed algorithm, which show an overall improvemen t of railway performance under a wide range of emergency conditions. R ailway performance is assessed by a set of performance indices, and th e aim of fuzzy control is to score the best performance among these in dices.