Research On Risk Analysis Of Road Transportation Of Hazardous Materials Based On Multi-Source Data Fusion

In recent years,with the continuous growth of the output of hazardous chemicals(hereinafter referred to as "hazardous chemicals")in China,the demand for road transportation of hazardous chemicals shows a high-speed development trend.The risk analysis of road transportation of hazardous chemicals has become the focus of road transportation safety research.The influencing factors of road transportation accidents of dangerous chemicals are complex and diverse,with serious consequences and far-reaching impact.How to accurately analyze the main influencing factors of road transportation accidents of dangerous chemicals,explore the coupling influence of various influencing factors in road transportation of dangerous chemicals,and optimize the risk evaluation index system of road transportation of dangerous chemicals is of great significance to the study of road transportation safety of dangerous chemicals.Therefore,this paper analyzes the risk of road transportation of dangerous chemicals.Firstly,the characteristic data preprocessing and correlation analysis of the original data are carried out.Based on the analysis of the quality of the original data,the redundant data and missing data are preprocessed to obtain accurate and practical accident data.K-means clustering algorithm is used for data classification to transform unstructured data into structured data.Using the accident data of a city from March 30,2017 to March 30,2020,this paper makes a correlation analysis on the influencing factors of the accident from four aspects: driver,vehicle,road and environment.Secondly,BP neural network is used to analyze the risk evaluation indexes of road transportation of dangerous chemicals,and the index weights at all levels are established.The accident data of vehicles from March 30,2017 to March 30,2020 are divided into four characteristic index sets: driver,vehicle,road and environment.The BP neural network is used to construct the risk prediction model of dangerous chemical road accident transportation.According to the weight of the input layer and hidden layer of the model,the weight of the risk evaluation index of dangerous chemical road transportation is established.Then,the risk evaluation model of road transportation of dangerous chemicals is constructed by using fuzzy comprehensive evaluation and unascertained measurement theory.Based on the gradient function and unascertained measure function,taking into account the special factors such as sensitive areas and street population around the road,the fuzzy comprehensive evaluation is carried out,and the risk evaluation model of dangerous chemical road transportation based on fuzzy comprehensive evaluation and the risk evaluation model of dangerous chemical road transportation based on improved unascertained measure fuzzy comprehensive evaluation are established to comprehensively evaluate the risk of some dangerous chemical road transportation in a city.Finally,using the above dangerous chemicals road transportation risk evaluation model,this paper evaluates the risk of some dangerous chemicals accident prone sections in a city.Visually process the road network,sensitive areas(water sources,gas stations)and street population of a city,and analyze the error between the actual risk of dangerous chemical accident prone sections and the road risk predicted by the risk evaluation model of dangerous chemical road transportation.