摘要
改善自动事件检测方法的检测率(DR)、误报率(FAR)和平均检测时间(MTTD),对于提高事件管理效率至关重要。在分析现有检测方法的基础上,提出基于手机定位的高速公路事件检测方法并给出一种检测算法。算法以在路车辆上每部手机的定位数据为基础,由此获取平均速度、速度标准差和速度变化系数作为特性参数,采用模糊综合评判方法判断道路交通运行状态,实现高速公路事件的自动检测。模拟实验证明了该算法的有效性。
It is critical that Detection Rate (DR), False Alarm Rate (FAR) and Mean Time to Detection (MTrD) are improved in expressway automatic incident detection. Based on the analysis of expressway automatic incident detection methods, an expressway incident detection method using mobile phone positioning is presented. The average speed, standard deviation of speed, variation coeffticient of speed of all mobile phones on vehicles on certain expressway area are defined as key parameters, which are used automatically determine expressway incidents with fuzzy comprehensive evaluation.Simulation results show that DR, FAR and MTTD of the proposed method are improved.
出处
《公路交通科技》
CAS
CSCD
北大核心
2006年第2期133-136,共4页
Journal of Highway and Transportation Research and Development
基金
国家十五科技攻关计划资助项目(2002BA404A07)
重庆市自然科学基金资助项目(8599)
关键词
事件检测
手机定位
高速公路
模糊综合评判
Incident detection
Mobile phone positioning
Expressway
Fuzzy comprehensive evaluation