The on-line rescheduling of MRT (Mass Rapid Transit) trains after sudden increases of passenger flow is discussed. In particular, the use of PFC (Predictive Fuzzy Control) for carrying out the train dwell-time control in an event-driven framework is considered. Two fuzzy expert systems for improving the performance of MRT systems and for enhancing functions of the typical ATC (Automatic Train Control) systems are proposed. The first system is designed for implementation at the operation control center for altering the train dispatch time intervals from the terminals. The second system is designed for implementation at each local processing unit for adjusting the train dwell times at individual passenger stations. These two algorithms co-ordinate with each other for achieving consistent enhancements of the ATC function. Using the event-driven approach, the only decisions to be made in each of the two fuzzy expert systems will be whether or not to dispatch the train at a proposed reschedule time. Due to its simplicity, the proposed methodology is fast enough for on-line implementation. An object-oriented environment has been developed for implementing the control and simulation algorithms that reduces the efforts required for understanding the interactive operation of railway subsystems and for preparing study data. Therefore, the efforts for future development will be reduced. The proposed approach is used for adjusting the train dwell time and for studying the effects on the MRT performance. Results show that the train dwell time adjustment is an effective means of maintaining the quality of train service after sudden load disturbances. Several simulated case studies are included to illustrate the effectiveness of the proposed approach.
Online rescheduling of mass rapid transit systems: fuzzy expert system approach
Ein Fuzzy-Logik-Expertensystem für die verkehrsbedarfabhängigen Echtzeit-Fahrplanänderungen bei der Bahn
IEE Proceedings - Electric Power Applications ; 143 , 4 ; 307-316
1996
10 Seiten, 28 Bilder, 5 Tabellen, 17 Quellen
Article (Journal)
English
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