CAJ | 학술논문

普通公路由于受到检测设施布设稀疏的制约，若沿用传统的交通事件自动识别方法，其判别率将低于高速公路或城市道路，而误判率也将高于高速公路或城市道路。为了便于公路管理者对普通公路发生交通异常时及时处理，以短时交通预测为基础，将交通异常的定义作为为判别标准，提出了1种新的交通异常判别方法，该方法能够排除由常发性交通拥挤和幽灵瓶颈现象引起的异常误判。试验表明，基于短时交通预测的公路异常判别方法精度误差在0．2以内，能够较好的实现对交通异常的判别。
보통공로유우수도검측설시포설희소적제약，약연용전통적교통사건자동식별방법，기판별솔장저우고속공로혹성시도로，이오판솔야장고우고속공로혹성시도로。위료편우공로관리자대보통공로발생교통이상시급시처리，이단시교통예측위기출，장교통이상적정의작위위판별표준，제출료1충신적교통이상판별방법，해방법능구배제유상발성교통옹제화유령병경현상인기적이상오판。시험표명，기우단시교통예측적공로이상판별방법정도오차재0．2이내，능구교호적실현대교통이상적판별。
Because of the deficiency of monitoring facilities ,the efficiency of identifying traffic abnormal status of ordinary road is lower ,and the error is higher than that of highway using traditional auto-recognized method .This paper provides a new discriminated method to accelerate the processing time of traffic accidents ,which is based on the short-term traffic prediction theory and the general definition of abnormal traffic status .This method excludes self-healing situ-ations ,like recurrent congestion and Phantom traffic jams .Experiments indicate that the deviation of this method would be controlled within 0 .2 ,which means that it could identify abnormal traffic status efficiently and accurately .