Abstract:

In order to solve the problem of urban traffic congestion and provide people with high quality services, this paper proposed a real-time road condition detection system based on the big data analysis of the Internet of Vehicles. In this paper, GPS technology was used to collect the vehicle data. Sample collection was obtained through data cleaning and data repair. The improved fuzzy C-means clustering algorithm was used to analyze the sample data, and the average speed of each road segment was obtained, and then the traffic of the corresponding road segment was obtained.Tests showed that the system could accurately obtained the traffic data of the vehicles on the road and identify the traffic status of the current road section. These illustrated the rationality and correctness of the system design.

Key words: internet of vehicles, GPS technology, improved fuzzy C-means clustering algorithm, real-time traffic