Author(s)

Xiang Yifei

Corresponding Author

Xiang Yifei

ABSTRACT

With the facilitation of transportation, taxis have become one of the main modes of transportation, but no-load taxis will cause damage to revenue. Based on this, this article first determines the total passenger flow at the airport and the passenger flow in a day based on factors such as seasons and flights distribution law, so as to get the driver's decision plan. Then combine the processed data to estimate the parameters, and solve the model to get the no-load decision plan of the taxi. Compared with the actual taxi detention situation, the model accuracy rate of the scheme is close to 70%. After that, the influence of factors such as season, the probability of choosing a taxi, the number of pick-up points, and the average pick-up time on the driver's decision is studied, and the relevant factors and the practical significance of the model decision are given. Finally, three types are introduced. The common pick-up point setting mode is to establish a multi-objective optimization model. Through a large number of Monte Carlo simulations, it is finally found that the parallel-departure multi-lane departure mode is better than the other departure modes. In the best case, there are 12 berths and the actual berths in Hongqiao Airport are the same.

KEYWORDS

No-load problem, parking space, optimization model, Monte Carlo simulation