摘要
道路事故风险评估是提高道路安全水平的有效方式。为实现在道路网络特征视角下的道路事故风险评估,融合线段分析与频繁集算法,提出SA-Apriori的特征提取算法,进而构建SA-Apriori道路事故风险评估模型,以重庆市大渡口区作为分析对象,建立以道路网络特征变量为指标的道路事故风险等级划分体系,评估其道路事故风险水平,结合商业点位分布情况对该评估方法的有效性进行验证。并针对大渡口区道路事故风险情况,提出道路事故风险的管理对策与建议。结果表明:该道路事故风险评估方法具有较高的可靠性,可为基于路网特征的道路事故风险评估提供参考。
Road accident risk assessment is an effective way to improve road safety.In order to realize road accident risk assessment from the perspective of road network features,the segment analysis-apriori(SA-Apriori)feature extraction algorithm was proposed by combining segment analysis and frequent set algorithm,and then the SA-Apriori road accident risk assessment model was built.Taking Dadukou District of Chongqing as the analysis object,a road accident risk classification system with road network feature variables as the index was established to evaluate its road accident risk level,and the effectiveness of the evaluation method was verified combined with the distribution of commercial points.According to the situation of road accident risk in Dadukou district,the management countermeasures and suggestions of road accident risk were put forward.The results indicate that the road accident risk assessment method has high reliability and can provide reference for road accident risk assessment based on road network features.
作者
刘星星
刘泽林
邓沛琦
杨青
汪金美
纪柯柯
LIU Xingxing;LIU Zelin;DENG Peiqi;YANG Qing;WANG Jinmei;JI Keke(School of Safety Science and Emergency Management,Wuhan University of Technology,Wuhan 430070,China;不详)
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2024年第1期1-6,共6页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
国家自然科学基金项目(72374164)。
