The GPS trajectory data research based on the intelligent traffic big data analysis platform

摘要

At present, our country is facing the problems ofresource shortage, such as the air pollution, the traffic congestion and thepopulation aging, which have seriously affected the sustainable developmentof the city. Human movement and the movement of vehicles are reflecting thechanges of urban environment. The analysis of moving objects historicaltrajectory big data is the necessary means to build a smart city. Due to theGlobal Positioning System (GPS) data recording the taxi's and the bus'sdriving time and location, the GPS-equipped taxi can be regarded as thedetector of an urban transport system. The data acquisition in the trafficsystem is a geometric trend growth, so it is urgent to build a platform thatcan handle big data processing. The GPS trajectory big data has thecharacteristic of strong real-time and great changes. The use of big datacloud platform data storage can greatly reduce the cost of data storage, andat the same time improve the security of data storage. This paper deeplyanalyses the application requirements of the intelligent traffic trajectorybig data processing platform and studies the mining method to do with theGPS trajectory big data. Through the simulation we can grasp thedistribution characteristic of GPS trajectory big data.