HighlightsWe propose different types of new timetables combining regularity with flexibility.The regularity is taken care of by the design.The flexibility is evaluated using passenger satisfaction.We solve the PCTTP for different timetable designs.The problem is solved using the Simulated Annealing heuristic.We use real network of Israeli Railways as our case study.The results show the impact of the cyclicity constraints on the flexibility.A hybrid cyclic timetable can diminish this impact.
AbstractWe propose a new type of timetable that would combine both the regularity of the cyclic timetables and the flexibility of the non-cyclic ones. In order to do so, several combinations of the two timetables are considered. The regularity is incorporated in their design and the flexibility is evaluated using the passenger satisfaction (in monetary units). Each of the tested timetables is constructed using the Passenger Centric Train Timetabling Problem (PCTTP), that is solved using a simulated annealing heuristic. Note that the PCTTP, unlike the traditional Train Timetabling Problem (TTP), does not take into account the conflicts among trains. The aim of the PCTTP is to design such timetables that the passengers’ satisfaction is maximized and it remains the aim of the TTP to remove any potential conflicts. The performance of each of the considered timetables is assessed on the real network of Israeli Railways. The results of the case study show that our proposed hybrid cyclic timetable can provide the benefits of the cyclic and the non-cyclic timetable simultaneously. This timetable consists of 75% of cyclic trains (securing the regularity of the service) and of 25% of non-cyclic trains (deployed as supplementary trains during the peak hours and capturing the demand fluctuation). The level of the passenger satisfaction of the hybrid cyclic timetable is similar to the level of the non-cyclic one, which has about 18.5% of improvement as compared to the purely cyclic one.
Hybrid cyclicity: Combining the benefits of cyclic and non-cyclic timetables
Tramsportation Research, Part C: Emerging Technologies ; 75 ; 228-253
2016-12-22
26 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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