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

Abstract

At present, our country is facing the problems of resource shortage, such as the air pollution, the traffic congestion and the population aging, which have seriously affected the sustainable development of the city. Human movement and the movement of vehicles are reflecting the changes of urban environment. The analysis of moving objects historical trajectory big data is the necessary means to build a smart city. Due to the Global Positioning System (GPS) data recording the taxi's and the bus's driving time and location, the GPS-equipped taxi can be regarded as the detector of an urban transport system. The data acquisition in the traffic system is a geometric trend growth, so it is urgent to build a platform that can handle big data processing. The GPS trajectory big data has the characteristic of strong real-time and great changes. The use of big data cloud platform data storage can greatly reduce the cost of data storage, and at the same time improve the security of data storage. This paper deeply analyses the application requirements of the intelligent traffic trajectory big data processing platform and studies the mining method to do with the GPS trajectory big data. Through the simulation we can grasp the distribution characteristic of GPS trajectory big data.

Keywords

Trajectory big data smart city intelligent traffic data mining

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