Research on Optimization Configuration of Taxi Resources Based on Matching Model

Abstract

“Difficulty in taxiing” has always been a concern of the society in recent years. This paper discusses the current situation of resource allocation of taxis and the impact of taxi company subsidy programs on the difficulty of taxiing, and then introduces a better subsidy program. We first collected data based on the Drip, fast intelligent travel platform, plotted the image, calculated the average of the taxi distribution and passenger demand at each time point, and carried out tracing and analysis. On this basis, the matching model is established: the idea of nearest neighbor” is introduced, and the time points that are difficult to get a taxi are concentrated at 8-10 am, 16 pm, and 19 pm. Then analyze the subsidy program data, taxi drivers and passengers after using the taxi software, taxi vacancy rate, passenger waiting time and changes in the economic benefits of taxi drivers and passengers, etc., after analysis, we found the existence of subsidy programs can fully mobilize the enthusiasm of drivers and passengers to use the software, so that the number of people using the software continues to increase, which not only shortens the waiting time for passengers to take a taxi, but also reduces the driver’s vacancy rate, so it can effectively alleviate the problem of difficult driving.