Abstract
The increase of demand for transport service in rail commuter traffic stipulates higher ratio of consumed infrastructure capacity. In this method of traffic flow even minor deviations from the planned timetable can have negative influence on its stability, and this can result in major reduction of the quality of transport service. This research has defined the commuter rail traffic management system model with the application of real-time timetable rescheduling. It understands the application of the decision support system during the procedure of adjusting the timetable to the real condition in traffic in the form of genetic algorithm defined on the basis of the valid rules for the train and traffic control. Besides, this model in all the commuter trains understands the existence of the driver advisory system which is based on the algorithm for determination of the most favourable running regime with the aim of saving in energy consumption. The paper proves that by applying the proposed model the commuter rail traffic can be improved regarding the increase of the timetable stability and energy-efficient train operation. KEY WORDS: rail traffic management, genetic algorithm, energy efficient timetabling and train operation
Highlights
Rail traffic on commuter lines always refers to the areas of big urban centres
The increase of demand for transport service in rail commuter traffic stipulates higher ratio of consumed infrastructure capacity. In this method of traffic flow even minor deviations from the planned timetable can have negative influence on its stability, and this can result in major reduction of the quality of transport service
Taking into consideration that there is a possibility of impact of the delays on the regular driving of other trains on the line, the timetable adjustment is performed, where the genetic algorithm based on the potential train movement regimes and the set restrictions regarding the interdependence of single routes in the timetable, determines for each train new departure and arrival times for the planned stops
Summary
Rail traffic on commuter lines always refers to the areas of big urban centres. For the travelling within these centres as a rule the directions, relations and time are known because their basic characteristic are the daily migrations of a large number of passengers. As part of this model, during the process of centralized traffic management the dispatcher uses the system as assistance in decision-making in the form of the expert system that proposes solutions for the adjustment of the timetable to the real condition in traffic The action of this expert system is based on the work of the genetic algorithm defined on the basis of the valid rules for the regulation of rail traffic and train guidance as well as input data that refer to the planned timetable and its execution in real time. As part of this division good predicting of the necessary time of train stay at the stop plays an important role so that by selecting the optimal train running regime, the remaining time available for its running would be efficiently used regarding the saving of energy
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