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In-Vehicle Traffic Accident Detection and Alerting System Using Distance-Time Based Parameters and Radar Range Algorithm

机译:基于距离-时间参数和雷达测距算法的车载交通事故检测与预警系统

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The high proportion number of citizen death rates with little or severe sustained injury is commonly recorded from road-traffic accidents (RTA). The effect of a road traffic accident is brutal, and it usually leads to mortality and deformity in human physiological anatomy. This work aims to develop an embedded in-vehicle automatic accident detection and barrier detection notification system. A radar range algorithm (RRA) is proposed for the barrier detection on the road before collision occurrence. Also, distance-time based parameters (DTBP) algorithm was developed for the detection of accident geo-location coordinates using the Haversine formula. An Internet of Things (IoT) approach was adopted by integrating the wireless communication devices and sensors embedded into a single chip for the design purposes. This developed system alerts the driver before collision occurrence and eliminates the delay time between accident occurrence and emergency personnel arrival. The use of this system will save more lives from road hazards and decrease mortality.
机译:道路交通事故(RTA)通常记录着高比例的公民死亡率,很少或严重的持续伤害。道路交通事故的影响是残酷的,通常会导致人体生理解剖结构的死亡和畸形。这项工作旨在开发一种嵌入式车载自动事故检测和障碍检测通知系统。提出了一种雷达测距算法(RRA),用于在碰撞发生之前对道路进行障碍物检测。此外,还开发了基于距离-时间的参数(DTBP)算法,以使用Haversine公式检测事故地理位置坐标。出于设计目的,通过将嵌入到单个芯片中的无线通信设备和传感器集成在一起,采用了物联网(IoT)方法。这个开发的系统在碰撞发生之前向驾驶员发出警报,并消除了事故发生和紧急人员到达之间的延迟时间。使用该系统将挽救更多生命,免受道路危险并降低死亡率。

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