Research on Taxi Sharing Mode Based on Live Map Matching

摘要

This paper mainly studies the problem of taxi sharing. Firstly the preprocessing technology was used to the obtained. The accurate and reliable data sets were got by the data reduction, data cleaning, and data segmentation method. The analysis process mainly using cluster analysis to analyze the data from the passenger's daily get on and off location information, obtains the points of interest of the passengers, and then further optimizes the vehicle route according to the passenger's demand, then obtains the most profitable driving route and maps actual shared routes on the map. The results of the study reduced the no-load rate of taxis and improved taxi efficiency and total revenue.