Analysis of Taxi Supply and Demand Matching Degree Based on BP Neural Network

To analyze supply and demand matching degree of taxi resources in different periods in the long span, namely, with year as its measuring unit, this paper selects Wuhan city whose taxi ordering volume ranks in forefront [1] in China, analyzes the change law and development trend of supply and demand matching index as time goes on by using BP neural network algorithm, and concludes that the demand and supply matching degree of taxi before 2011 in Wuhan was high, the supply and demand matching ratio and matching index of taxi in Wuhan after 2012 significantly increased, the relationship between supply and demand was increasingly intense, and the supply of taxi in Wuhan would be difficult to meet the demand in future 5 years.