Exploration of Real-Time Traffic Information System Based on Big Data Analysis

Abstract

In order to solve the problem brought about by traffic congestion to people's daily life, this experiment uses the effective combination of intelligent transportation and vehicle networking technology, and proposes the real-time traffic information system based on the vehicle networking end-tube-cloud architecture for mass real-time traffic data. First, the overall architecture of the system is designed and analyzed, and then the related technology of traffic data perception and acquisition is introduced. Secondly, the mode of real-time traffic information data acquisition based on floating car and the characteristics of the initial traffic data are introduced, and a suitable data storage format is designed in accordance with the characteristics of original traffic data collected. Finally, the test is carried out according to the spatiotemporal characteristics of traffic data. The results show that the algorithm used can effectively repair data, and the data repair performance is obviously better than time and space two data repair models. Through the relevant technology, the current road traffic conditions are obtained, and then the information is transferred to traffic management departments and travel personnel. In this way, it can provide the road condition for the travellers real-time and accurately, and help travellers reasonably choose the travel routes, thus alleviating traffic congestion. In a word, real-time traffic information can help traffic management departments to do a good job in traffic management.