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This study proposes a flexible timetable optimization method based on hybrid vehicle size model to tackle the bus demand fluctuations in transit operation.Three different models for hybrid vehicle,large vehicle and small vehicle are built in this study,respectively.With the operation data of Shanghai Transit Route 55 at peak and off-peak hours,a heuristic algorithm was proposed to solve the problem.The results indicate that the hybrid vehicle size model excels the other two modes both in the total time and total cost.The study verifies the rationality of the strategy of hybrid vehicle size model and highlights the importance of the adaptive vehicle size in dealing with the bus demand fluctuation.The main innovation of the study is that unlike traditional timetables,the arrangement of the scheduling interval and the corresponding bus type or size are both involved in the timetable of hybrid vehicle size bus mode,which will be more effective to solve the problem of passenger demand fluctuation.Findings from this research would provide a new perspective to improve the level of regular bus service.
This study proposes a flexible timetable optimization method based on hybrid vehicle size model to tackle the bus demand fluctuations in transit operation. Three different models for hybrid vehicle, large vehicle and small vehicle are built in this study, respectively.With the operation data of Shanghai Transit Route 55 at peak and off-peak hours, a heuristic algorithm was proposed to solve the problem. The results that results that hybrid vehicle size model excels the other two modes both in total time and total cost. Study verifies the rationality of the strategy of hybrid vehicle size model and highlights the importance of the adaptive vehicle size in dealing with the bus demand fluctuation. The main innovation of the study is that convention that traditional timetables, the arrangement of the scheduling interval and the corresponding bus type or size are both involved in the timetable of hybrid vehicle size bus mode, which will be more effective to solve the problem of passenger demand fluct uation.Findings from this research would provide a new perspective to improve the level of regular bus service.