Research on Taxi Driver Decision Analysis Based on BP Neural Network

Abstract

With the improvement of people's living standards, taxi drivers how to choose the return plan and balance the benefits of long and short distance taxi drivers appear. In order to find out the relevant factors that affect the decision-making of taxi drivers, this paper determines the main influencing factors by consulting the relevant survey information, and establishes the decision-making model of taxi drivers based on BP neural network. First of all, this paper analyzes the factors that affect the decision-making of taxi drivers and the relevant mechanism, and selects the indicators that may affect the decision-making of taxi drivers, namely, the number of flights (more flights, more passengers), “car storage pool” vehicle number, weather, time period, season and flight mileage. On the basis of considering the change rule of the number of airport passengers and the income of taxi drivers, the decision-making model of taxi drivers based on BP neural network is established, and the selection strategy of taxi drivers is determined. The accuracy is 99%, and the driver's decision-making effect is very good.