使用云数据分析来监督和管理驾驶员的驾驶行为

Hsiao-Ting Tseng, Yu Cheng Kao, Hsian-An Hu, Wei-Yu Chen
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引用次数: 0

摘要

科技日新月异,电子产品正朝着更便捷、更安全、更自动化的方向发展。其中,自动驾驶汽车越来越受欢迎。目前,他们都提倡安全驾驶,但几乎没有绝对安全的保证。经常在媒体和新闻中,由于汽车在疲劳驾驶的情况下过度依赖自动驾驶系统而发生事故。因此,许多人在长途旅行和假期回家时仍然自己开车。这个时候,司机的注意力受到了相当大的考验。本研究主要是基于汽车内置的换道防撞系统,结合可以通过蓝牙接收信息的脑电波探测器和心率监测手表,实时获取驾驶员的生理信息并立即返回给车载快递服务平台,用于ITS系统对驾驶员的行为进行评估分析。当驾驶员身体状况不佳时,及时给予警告和提醒,以减少大多数驾驶员因忽视身体疲劳而强行上路的驾驶事故,从而避免车祸的发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Cloud Data Analysis to Supervise and Manage the Driving Behavior of Drivers
Science and technology are changing with each passing day, and electronic products are developing in a more convenient, safer, and more automated direction. Among them, automatic driving of automobiles is becoming popular. At present, they all promote safe driving, but there is almost no guarantee of absolute safety. Often in the media and news, accidents occur due to excessive reliance on the automatic driving system in the car in the case of fatigue driving. Therefore, many people still drive by themselves during long-distance trips and returning home for the holidays. At this time, the driver's concentration has been quite tested. This research is mainly based on the lane shift and collision avoidance system built in the cars, together with brain wave detectors and heart rhythm monitoring watches that can receive information via Bluetooth, to obtain the driver's physiological information in real time and return it immediately The car express service platform for ITS system to evaluate the behavior analysis of drivers. When the driver's physical condition is not good, timely warnings and reminders are given to reduce the driving accidents that most drivers force on the road due to ignoring physical fatigue, so as to avoid the occurrence of car accidents..
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