Real-Time Calculation of Road Traffic Saturation Based on Big Data Storage and Computing

Road traffic saturation data is streaming at unprecedented speed and must be dealt with in a timely manner. In the paper, we put forward a real-time calculation method of road traffic saturation based on big data storage and computing. We will calculate the road traffic saturation data via adjacent traffic checkpoint while the computing and storage of road saturation based on Spark big data processing engine of big data and the final result data storage to the non-relational database HBase. The experiment results show that the performance of our method is superior to the original methods mainly embodied in the advantages of precision and real-time.