Airport Taxi Management Based on Dynamic Decision and Multi-objective Programming Model

Abstract

Nowadays major airports often have a large number of passengers and vehicles stranded, resulting in inefficient airport operations. In order to solve this problem, this article aims at the decision-making problems that airport taxi drivers face after sending passengers to the airport, and the problem of setting up the boarding point of the airport by analyzing the influencing mechanism of factors related to taxi driver decisions, and considering the changing rules of airport passengers and the benefits of taxi drivers, we have established Driver’s choice decision model based on time periods and Multi-objective programming model based on queuing theory. The model established in this paper can greatly alleviate the airport’s load-bearing pressure, improve the airport’s overall boarding efficiency under the condition that the taxi driver’s income is balanced, and provide a theoretical basis for the systematization of airport taxi queuing.