Study On The Highway Traffic Safety Early Warning System Based On Cloud Architecture

Highway traffic safety situation in our country because of its mileage and the rapid increase of traffic logistics more and more serious, a lot of traffic problems, such as the frequencies of unexpected events, such as traffic congestion is a trend of rapid growth. How to reduce the number of highway traffic accidents and the effective ways to improve the level of its security is practical and efficient, accurate, timely judge and predict the possibility of traffic accidents. Therefore, how to build efficient and powerful highway traffic safety early warning system to effectively predict the possible accident, timely, rapid, accurate early warning information release to users. How to make use of early warning system for real-time monitoring of the highway, to obtain real-time data, processed data quickly ruled out potential harm, do it from the source to reduce the traffic accident rate. Therefore, this article in view of the highway, the goal is to build a set of complete, the collection of traffic data acquisition, data processing, safety evaluation and early warning information release in the integration of traffic safety warning system.First of all, from the basic probability of cloud computing, introduces its concept, characteristics and the model and its application. At the same time, the analysis summarizes the framework of the existing highway traffic safety early warning system theory, and analyze the key technology of cloud computing and the application of cloud computing in the field of transportation.Second, emphatically analyzes the Internet of things technology in the field of traffic safety, the application of related theory and research of traffic safety early warning system based on Internet of things architecture, including the acquisition system based on Internet of things and information processing system based on GIS, and for building the highway traffic safety early warning system based on cloud architecture design experience.Moreover, early warning analysis of highway management and the demand of the early warning system, build a reasonable expressway traffic safety early warning system based on cloud architecture, puts forward the overall framework and logic structure, focus on the information collection system based on Internet of things and information release system.Then, this paper studies the traffic data processing system based on cloud computing, including data preprocessing, the neural network algorithm based on graphs of traffic flow prediction, traffic safety state evaluation model.Finally, in view of the neural network algorithm based on graphs of traffic flow forecasting and traffic safety state evaluation model given numerical example, validation of cloud computing in traffic safety early warning system of feasibility.