Technical gazette, Vol. 19 No. 2, 2012.
Original scientific paper
Model of fuzzy inference system for forecasting dwell time required by commuter trains at stops
Hrvoje Haramina
; University of Zagreb, Faculty of Transport and Traffic Sciences, Department of Railway Transport and Traffic, Vukelićeva 4, Zagreb, Croatia
Tomislav Josip Mlinarić
; University of Zagreb, Faculty of Transport and Traffic Sciences, Department of Railway Transport and Traffic, Vukelićeva 4, Zagreb, Croatia
Branko Mihaljević
orcid.org/0000-0002-2579-7058
; University of Zagreb, Faculty of Transport and Traffic Sciences, Department of Railway Transport and Traffic, Vukelićeva 4, Zagreb, Croatia
Abstract
Every unexpected increase in the number of passengers may result in unplanned extension of the scheduled dwell times of commuter train at stop, i.e. its delay in departure regarding the planned timetable. This may cause consequent delays of other trains that, according to the planned timetable have headways or connections with the delayed train, thus disturbing the stability of the timetable. Therefore, it is important to start the procedure of adapting the timetable to the actual condition in traffic. As part of this procedure it is necessary to forecast the actually required dwell times for commuter trains and based on this to adapt their running times in order to compensate for the delays and to continue operating according to the planned timetable. In this paper, the model of fuzzy inference system has been defined and it serves to forecast the actually required dwell times of the commuter trains at the stops.
Keywords
commuter railway traffic; fuzzy inference system; timetable rescheduling
Hrčak ID:
83901
URI
Publication date:
29.6.2012.
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