Author(s)

Haisen Wang, Zhengang Lv, Jijia Tang

Corresponding Author

Haisen Wang

ABSTRACT

Considering the waiting time cost of passengers and the income of bus companies, this paper mainly studies the optimal scheduling strategy of buses during the transition period of "peak" and "flat peak", so as to achieve a more reasonable allocation of the number and frequency of buses in different periods on the premise of better meeting the travel demand of citizens, thus saving the cost. We use the second-order fitting of MATLAB and the peak hour coefficient to define and analyze the "peak" and "flat peak" data of a bus line. Then, through the establishment of optimization model, the genetic algorithm is used to calculate, and the scheduling scheme of "transition period" is given, which indicates under what circumstances the bus scheduling scheme is optimal, and on this basis, discusses the influence of the proposed scheduling scheme on the parameters. Finally, the grey prediction model is used to give the prediction methods of "peak" and "flat peak". Finally, the results are tested to ensure their accuracy.

KEYWORDS

Bus dispatching, peak hour coefficient (PHF), genetic algorithm, optimization model, grey model method