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中文摘要：
为了实时准确地检测交通事件,利用交通事件中上、下游路段速度变化幅度不同的特点,提出一种基于浮动车数据的交通事件检测方法.该方法采用余弦变换,将相邻路段之间的速度差值进行缩放,突显事件路段、事件发生时间和恢复时间的数据特征.实例分析表明：事件路段及其下游路段的速度差时变轨迹曲线呈开口向下的抛物线;当不受事件影响时,速度差比率的余弦变换结果与y=1轴接近;当交通受事件影响时,影响越严重,速度差比率的余弦变换时变轨迹偏离y=1轴越远.该结论能有效确定事件路段、事件发生时间、清理完毕时间和交通流恢复时间.本文提出的检测方法,能为交通事件管理提供理论支撑和技术参考.
英文摘要：
Detecting traffic incidents timely and accurately can effectively ease traffic congestion and environmental pollution. This paper presents a parameters recognition method of traffic incident toutilize speed difference variation between upstream and downstream links. In order to enlarge features of traffic incident location,occurrence time and recovery time,the cosine transform is used to zoom speed change differences between adjacent links. Case study shows that speed difference trajectory between an incident link and its downstream link is a downward parabola,and the parabola has only one highest peak. When links are not impacted by the incident,trajectories of cosine transformsare very close to the axis y = 1.When links are impacted by the incident,the more serious impacts of the incident,the cosine transform results are farther deviated from the axis y = 1. The analysis results validate the effectiveness of the detection method. These key factors detected can accurately provide a support for traffic incident management.
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