Author(s)

Yu Shu, Zhijie Qu, Kaixin Li and Yuhang Li

Corresponding Author

Yu Shu

ABSTRACT

This paper mainly analyzes and studies the influencing mechanism of factors related to taxi driver decision-making, comprehensively considers the change law of airport passenger numbers and the benefits of taxi drivers, establishes a taxi driver selection decision model under multiple schemes, and gives the driver Selection strategy. First, use time series depicts the regularity of the number of passengers in each period of the day under normal circumstances, and takes into account the effect of seasonal deviation rates and holiday deviation rates on passenger traffic, and the revised time series. Second, according to principle to function simulates the relationship between the number of taxis queued and the number of passengers, and then uses the average passenger boarding time and the number of queues to characterize the taxi waiting time model. Finally, according to the self-interest principle time cost, no-load costs, and potential passenger benefits of the plan driver. The time cost of and the solution no-load costs consumed by the scheme and the potential passenger revenue lost, ultimately result in the driver's decision.

KEYWORDS

Decision Model; Time Series Analysis; Logistic Regression