汽车事故严重性估计单元综述

Saroj S. Raut, S. Karmore
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引用次数: 6

摘要

在过去的几十年里,世界各地的车辆总数有了显著的增长,这导致了交通事故率的上升。在现有的道路安全车辆系统中,通过使用电信技术已经找到了几种方法,但大多数方法都是为了改善交通安全,并侧重于车辆间的通信。在该框架中,智能人工神经网络(ANN)系统和模糊系统支持先进的通信技术,以挖掘数据集的特定特征。因此,它提供了准确的通知和严重程度估计,以更好地协助交通事故。该系统缩短了对事故发出警报的反应时间,从而改善了事故发生后的整体救援过程。这是一个智能、稳健、经济的系统,能够检测道路事故,通知他们,并估计其严重性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review on: Severity estimation unit of automotive accident
In the last decades, there have been remarkable growth in the total number of vehicles around the world, and results in increase in traffic accidents rate. Several approaches have found in existing road safety vehicular system through the use of telecommunication technologies but, most of them is for improving traffic safety and focused on vehicle to vehicle communication. In this framework, an advanced communication technology is supported by intelligent Artificial Neural Network (ANN) system and fuzzy system in order to mine the specific features of data sets. Hence it provides accurate notification and severity estimation of the accident for better assistance in traffic accidents. This system reduce the response time to give alert about accident and hence will improve the overall rescue process after an accident takes place. It's an intelligent robust, cost effective system which is able to detect road accidents, notify them, and estimate their severity.
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