【摘要】 提高交通事件检测性能对于保持道路畅通至关重要。鉴于此,提出了一种集GPS模块、车辆气囊传感器模块和手机定位模块为一体的车载终端,采用GSM定位与GPS定位相结合,驾驶员主动报警与车辆加速度发生居大变化时自动报警相结合的交通事件检测方法。构建了该检测方法的交通事件检测率和误警率分析模型,并分无事件确认机制、设置事件确认阀值K、调用CCTV确认事件三种情景建立了系统检测时间分析模型;基于这些模型和FRESIM交通仿真软件,对影响系统性能的主要因素进行了仿真分析。建模和仿真分析的结果表明,基于车载无线定位集成终端的高速公路交通事件检测系统具有较好的检测效果。更多还原

【Abstract】 It is essential to improve the performance of incident detection systems in order to keep the traffic in order after the occurrence of an incident. A new method of incident detection was brought forward based on an in-car terminal which consists of GPS module, GSM module and control module, and the alarm was sent by drivers or vehicles automatically when severe clash happens. A model was set up to analyze the detection rate, false alarm rate and mean time to detect, considering two false alarm reduction procedure including letting a suspected incident persist before a certain number (K) of alarms were received or zooming in with a closed circuit television (CCTV) camera as well as using none confirm method. By using FRESIM to generate the required microscopic data, the influence of the proportion of in-car terminal, driver’s reporting propensity, length of visible incident zone, severity of incident, false alarm reduction procedure and etc. was analyzed. Freeway incident detection using wireless positioning is proved to have fairly good performance.更多还原