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Abstract
In this paper, we turn the driver decision problem into: the game theory between the revenue generated by the driver after waiting for the waiting in the storage pool and the return to the urban area. When the driver chooses to wait for the yield greater than the return to the urban area, he chooses to wait. On the contrary, we return directly to the urban area. Meanwhile, we collect, analyze and process the information about the taxi in Shanghai Pudong Airport and Shanghai, and calculate the proportion of passengers choosing taxi after arriving at the airport through the Nested Logit model. And multiple linear regression equation model is used to deal with airport passenger throughput, forecast the take-off and landing of flights, speed analysis of taxis and the driving range of taxis under different weather conditions, and ultimately determine the drivers’ different decisions.
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