Study on Prediction Mechanism of High-speed Traffic Accidents Based on Space-Time Meteorological Grid

Abstract

Based on the traffic accident data of the Yaxi section of the G5 Beijing-Kunming high-speed from 2018 to 2021 and the observation data of the national meteorological station corresponding to the accident occurrence point provided by the Sichuan Meteorological Office, this paper studies the prediction mechanism of the high-speed traffic accident by using the Kmeans cluster analysis, space-time grid coding and multiple logistic regression model in SPSS algorithm. In this paper, the model analysis and prediction mechanism of highway traffic meteorological disaster in western Sichuan Plateau region are studied by using data resources from meteorological and transportation departments. In this paper, a fine intelligent grid space-time model is used to improve the granularity of model analysis and prediction. Sections of meteorological elements, this article will research traffic accident data, regression analysis on the data collection using smart grid model of time and space, with meteorological elements as the emphasis, build the traffic accident of time, space, space and time on the grid data model, aiming at key points in traffic accident risk accident and the regression analysis between grid meteorological elements of time and space, Thus the traffic meteorological risk prediction model is established.