摘要
交通事故发生率是体现道路安全水平的重要指标之一。按行政区划将长株潭城市群划分为23个区域,利用区域事故频率预测方法中条件自回归(CAR)模型,关联区域交通事故频率与相应人-车-路系统中的各种风险因素,挖掘长株潭城市群区域路网事故频率的主要影响因素,并提供相应改善建议。
Traffic accident frequency is one of the important indices of road safety level.This paper firstly divid-ed Changsha-Zhuzhou-Xiangtan Urban Agglomeration into 23 areas according to administrative divisions,then made use of the Condition autoregressive (CAR)model,which was among regional accident prediction methods, to relate the accident frequency to the corresponding various risk factors in driver-car-road system.Finally, the main influencing factors were identified and the corresponding improvement suggestions were made.
出处
《铁道科学与工程学报》
CAS
CSCD
北大核心
2016年第5期994-999,共6页
Journal of Railway Science and Engineering
基金
国家自然科学基金资助项目(71371192)
西部交通建设科技项目(20113187851460)
关键词
城市群
事故频率
CAR模型
urban agglomeration
traffic accident frequency
CAR model