摩托车骑行安全提示智能头盔原型

A. Budiman, D. W. Sudiharto, T. Brotoharsono
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引用次数: 8

摘要

摩托车是印度尼西亚交通事故的最大贡献者,其中83%是人为因素造成的。这些人为因素包括违反交通标志和超速驾驶。除此之外,道路状况也会影响交通事故,例如坑洼,减速带和缺乏交通标志。就死亡而言,2011年发生的死亡比例最高,占145,478名受害者总数的22.4%。头部损伤是伤亡的主要原因,占70%。根据这些统计数据,摩托车骑手必须佩戴头盔作为头部保护的作用,并确保安全带完全锁定。为了克服这一问题,本研究引入了智能头盔系统,当骑车人遇到可能导致交通事故的危险因素时发出警告。这些因素是当骑手没有戴头盔和锁安全带和超速超过速度限制。除此之外,这项研究还提供了一个新功能,当车手以不安全的速度通过坑洼或减速带等障碍物时,可以发出警告。这个功能是因为印尼糟糕的道路状况导致交通事故。从测试结果来看,本研究的智能头盔系统在头盔使用和绑带锁检测系统中的平均响应时间为1.4秒,在速度和冲击检测系统中的平均响应时间为0.3秒。此外,智能头盔与GPS的速度计算平均差值为3.3 km/h。
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The Prototype of Smart Helmet with Safety Riding Notification for Motorcycle Rider
Motorcycle is the highest contributor of a traffic accident in Indonesia which 83% of it caused by human factors. These human factors include traffic signs violation and riding above the speed limit. Besides that, road condition also affects traffic accident, such as a pothole, speed bump and lack of traffic signs. In the case of a fatality, the highest proportion of fatalities is 22.4% of the total 145,478 victims occurred in 2011. Head injury is the main factor of casualties by 70%. Based on these statistics, the role of a helmet as a head protector must be worn by motorcycle riders and make sure the strap perfectly locked. To overcome this problem, this study introduces a smart helmet system to warn the rider when they meet dangerous factors that risk causing traffic accident. These factors are when the rider has not worn the helmet and lock the strap and speeding above the speed limit. Other than that, this study offers a new feature to warn the rider when passing through the obstacle such as potholes or speed bump at unsafe speed. This feature is offered because of the bad road condition in Indonesia contributes to traffic accidents. From the test’s results, the smart helmet system in this study has an average response time of 1.4 seconds in the helmet use and strap lock detection system and 0.3 seconds in speed and shock detection system. In addition, the average difference of speed calculation between smart helmets and GPS is 3.3 km/hour.
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