Airport Cab Drivers' Passenger Carrying Strategy Selection Based on Mathematically Derived Theoretical Models

Yiqi Lu; Jiahao Wang

doi:10.54097/wz8zd660

Authors

Yiqi Lu
Jiahao Wang

DOI:

https://doi.org/10.54097/wz8zd660

Keywords:

Gray Correlation Statistics, Mathematical Derivation Theory, Loading Strategy.

Abstract

Cab is an important way for passengers to choose to go to the city in the airport. Cab drivers will send customers to the airport. There are two options to carry passengers, choosing to return to the city to carry passengers or entering the pool at the airport to wait for passengers. How the cab driver to decide to rely on the pool waiting time, the airport of a single day by the time of day the flow of passengers, downtown to the airport in the time required, and other factors. To compare the two options and analyze the influencing factors, this paper establishes a theoretical model of mathematical derivation to find out the scope of application of the two types of options, and to establish a decision-making model for cab drivers to choose. Then, using specific airport data, MATLAB is used to fit the curve to the collected data, and the decision value is calculated by applying integrative science to get the cab's time from the city to the airport, to arrive at the decision-making scheme. Finally, the dependency of the relevant factors is analyzed and the effect of different times of day, season, and fuel cost government-related policies on the revenue coefficient is considered using gray correlation analysis.

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