从数据到设计:基于物联网的打击分心驾驶和超速事件的新解决方案

Abida Siddique, Mohammad Gousuddin, R. V J
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引用次数: 0

摘要

- 分心驾驶和超速行驶是导致交通事故的重要因素,往往会造成人员伤亡。本研究论文对造成驾驶员疏忽相关交通事故的因素进行了全面调查,提供了可量化的调查结果,并提出了缓解这些因素的新颖解决方案。研究的主要目的是设计一种技术驱动的解决方案,以提高驾驶员的意识,防止驾驶时发短信、使用多媒体、浏览网页和通话等活动。该系统旨在确保驾驶员注意力集中,同时不影响其他乘客的数据连接。此外,该设计还通过引入智能策略来解决超速问题。对所实施系统的现场测试和验证表明,速度测量的准确率为 97%,手势识别算法的检测率约为 98.3%。这项研究的结果为打击分心驾驶和超速事件提供了宝贵的见解,为设计创新解决方案提供了数据驱动方法,有助于提高道路安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Data to Design: An IoT-Based Novel Solution for Combating Distracted Driving and Speeding Events
— Distracted driving and speeding are significant contributors to traffic accidents, often resulting in injuries and fatalities. This research paper presents a comprehensive investigation into the factors contributing to driver negligence-related traffic accidents, offering quantifiable findings and proposing a novel solution to mitigate them. The study's primary objective is to design a technology-driven solution that enhances driver awareness, preventing activities like texting, multimedia consumption, browsing, and calls while driving. The system aims to ensure driver attentiveness without disrupting other passengers' data connectivity. Furthermore, the design addresses the issue of excessive speeding by introducing an intelligent strategy. Field testing and validation of the implemented system demonstrated a 97% accuracy in speed measurement and a gesture recognition algorithm with a detection rate of approximately 98.3%. The findings of this research provide valuable insights into combating distracted driving and speeding incidents, offering a data-driven approach to design an innovative solution that can contribute to safer roads.
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