Institute of Transportation, MOTC

Bus services are the main public transportation services for the majority of people. The timetable of bus departing from the terminal station and the extent of intensiveness trips assigned may prominently affect passengers’ intention of using bus services. If the quantity of bus trips departing from the terminal are less than passengers’ need in the high bus services demand period, the un-satisfaction and inconvenience of passengers will arise. On the contrary, if the amount of bus trips departing from the terminal are more than passenger’s need in the low bus services demand period, the operating efficiency of the bus company will decline. However, earlier studies merely utilize demand distribution as hypothesis to estimate bus services demand rather than sophisticated demand data and,moreover, process heuristic algorithms to solve the timetabling problems, which not always acquire the optimized solution. Hence, to improve these problems, this study establishes a non-linear programming model and solve it with Cplex OPL software based on dynamic bus system data and smartcard data. These data give the information regard the ratio of passengers to the maximum capacity in a bus and the ratio of headway to entire operating time. This study use the data of 55 route in May 30 from Fengyuan Bus Transportation Company to verify the availability of the model. The results show the model is concrete and feasible and indeed enhance the terminal departing timetable problems.