城市道路交通安全影响因素分析

Influence Factors Analysis of Urban Road Traffic Safety

随着车辆日益增多,交通事故频繁发生,找出影响交通事故发生的真正因素是目前交通管理部门要解决的主要问题。基于贵阳市交通管理部门开放的交通事故数据,采用多项Logistic回归模型和Apriori算法,发现多项Logistic回归模型能很好地拟合数据且能找出影响城市交通安全的显著性因素,Apriori算法通过识别或发现交通事故数据中所有的频繁项集,能够挖掘出人、车、道路、天气因素之间的关联对交通事故类型的影响,数据分析结果可为交通管理相关部门提供参考。

As the vehicles are increasing,traffic accident has become a serious social problem,finding out the real factors that affect the traffic accident is the main problem for the traffic management department to solve.Based on the opened traffic accident data of Guiyang traffic administrative department,using multiple Logistic regression model and Apriori algorithm,it is found that multiple Logistic regression model can fit the data well and the significant factors that affect urban traffic safety were found. Apriori algorithm by identifying or finding all frequent item sets in the traffic accident data,can excavate the influence of people,cars,roads and weather factors on traffic accident types,the results of data analysis can provide reference for traffic management departments.