Research Progress on Road Traffic Accident Prediction Based on Big Data Methods
摘要
The application of big data methods is currently a hot topic in the field of road traffic accident forecasting. It is of great practical significance to clarify the current research progress and prospects. This article first summarizes the big data methods used in road traffic accident prediction, and then introduces the application of big data analysis in road traffic accident prediction problems, including accident frequency prediction, accident severity prediction, accident risk probability prediction, and the four major categories of accident impact prediction are analyzed, and their specific research scenarios are analyzed. Finally, it discusses several challenges faced by the use of big data methods in the field of road traffic accident prediction problems.