Pick-Up Strategy of Airport Taxi Drivers Based on Queuing Theory Model

Abstract

In this paper, the dynamic programming of the airport taxi driver's picking up strategy is studied, through the modeling of the influencing factors, combined with the actual situation, the airport "pick up point" and "priority" arrangement strategy is given, and the algorithm is verified. For taxi driver selection strategy, we analyzed the related factors influencing the taxi driver decision-making mechanism, the influence of the possible influencing factors into consideration, and correlation analysis to determine the main factors and influence mechanism, and combining with the change rule of airport passenger Numbers and taxi driver returns, using the method of queuing theory, the taxi driver selection decision-making model is established, Thus, the driver's choice strategy is given. For an airport taxi driver selection scheme analysis, we choose Hangzhou Xiaoshan airport as an example, passengers take a taxi from Xiaoshan airport Avenue in Hangzhou city. Using the decision method of model 1, the choice of taxi driver in Xiaoshan airport is given. The authenticity of the model and its dependence on related factors are analyzed. Finally, we use the simulation data to verify the practicability of the model and the effectiveness of the algorithm, and solve the problem of picking up taxi drivers at the airport, so as to improve the efficiency of passenger traffic and the revenue of taxi drivers, and maximize the use of resources.