基于距离-时间参数和雷达距离算法的车载交通事故检测与预警系统

Lukman Adewale Ajao, B. Abisoye, I. Jibril, Udeme Monday Jonah, J. Kolo
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引用次数: 3

摘要

道路交通事故通常记录了轻微或严重持续伤害的公民死亡率的高比例。道路交通事故的影响是残酷的,通常会导致死亡和人体生理解剖畸形。本课题旨在开发一种嵌入式车载自动事故检测和障碍物检测通知系统。提出了一种用于碰撞前道路障碍物检测的雷达距离算法(RRA)。利用Haversine公式,开发了基于距离-时间的参数(DTBP)算法,用于事故地理位置坐标的检测。采用物联网(IoT)方法,将无线通信设备和传感器嵌入到单个芯片中进行设计。该系统在碰撞发生前向驾驶员发出警报,消除了事故发生与应急人员到达之间的延迟时间。该系统的使用将从道路危险中拯救更多的生命,并降低死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In-Vehicle Traffic Accident Detection and Alerting System Using Distance-Time Based Parameters and Radar Range Algorithm
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.
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