Factor Coupling Model of Traffic Accident Casualties Based on Bayesian Structural Equation
To analyze the injury and death factors in traffic accidents and the interrelationships between these factors,a Bayesian structural equation model is established based on real traffic accident data to analyze the direct or indirect influence modes of traffic factors such as roads,vehicle types,drivers,and road environments on the degree of accident casualties.And coupling is carried out through a coupling model.The results show that the probability of an accident occurrence is not a simple superposi-tion of a single variable.A relatively weak influencing factor can increase the overall accident severity by combining with other factors.When the road grade is higher,the road lighting conditions are better,the vehicle type is a car and the driver's gender is male,the combination type has the strongest significance.Under this combination type,the coupling coordination coefficient has the largest value of 0.486.When the road grade is higher,the day of the accident is on the weekend,the vehicle type is a car and the driver's age is less than 25 years old,the combination type has the weakest significance.Under this combination type,the coupling coordination coefficient has the smallest value of 0.355.
safety engineeringaccident riskinfluencing factorBayesian structural equation modelcoupling model
万方数据
维普
