Airport Taxi Decision-Making Strategy Based on Queuing Theory and Computer Simulation

Taxi is one of the important connections between large transportation hubs and urban transportation. This paper addresses the decision-making strategy for airport taxi drivers in order to improve transportation efficiency. Firstly, the decision-making model of taxi drivers based on opportunity cost is established. This paper also takes Beijing Capital International Airport as an example to solve this model by combining the queuing theory and Monte Carlo method, and uses the Logit model to analyze the correlative factors. Then, the suggestion of setting up the taxi pick-up points is proposed to improve the efficiency of traffic flow. Finally, result of computer simulation further shows that when the entrance of the fast lane is about 11 parking spaces away from the taxi pick-up point, it can improve the efficiency of traffic flow and lead to a tripartite win-win situation: taxi drivers get higher revenue, passengers leave the airport in time and the managers to execute the airport more efficiently.