Design And Implementation Of Pick-Up Point Recommendation System Based On Taxi GPS

In addition to the emergence of online car-hailing,the traditional way of taxiing by taxi still occupies a large proportion of urban residents’daily travel,and with the popularization of mobile devices and the development of positioning technology,the trajectories of taxis have become easier to record and collect,and these trajectories contain a wealth of information.Studying these trajectory data can not only analyze the characteristics of the taxi itself,such as the speed and direction,but also understand the activities of the taxi itself and the travel situation of urban residents,and apply the information obtained from it to residents’ daily travel.Data mining technology provides a basis for studying trajectory data.This article will design a boarding point recommendation system based on the location information provided by taxi GPS.It mainly includes the following tasks:1.Research on the method of passenger boarding point based on taxi GPS.First,perform preprocessing work such as noise reduction and map matching on the taxi GPS data provided by Microsoft Asia Research Institute to obtain the taxi stop data set,and then propose a density clustering algorithm based on space-time to gather the taxi stop data.The class obtains the candidate recommendation point data set,and finally obtains the passenger boarding recommendation point and the number of vehicles information based on the user’s time and location information.2.Designed and implemented the prototype of the pick-up point recommendation system based on taxi GPS.The system is divided into a mini programs client and an interface server.The mini program serves as a visual user interface,including user login,surrounding points of interest query,user recommended point query,weather query,travel route planning and other modules.These modules include The information that users care about when traveling provides convenience for users to travel.