毛里求斯的安全驾驶框架

V. Bassoo , V. Hurbungs , V. Ramnarain-Seetohul , T.P. Fowdur , Y. Beeharry
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引用次数: 3

摘要

根据国家交通管理局(NTA)的数据,2016年4月,毛里求斯有493,081辆注册车辆,比2015年增长1.4%。尽管公共基础设施和陆地运输部开展了宣传活动并采取了一系列措施,但道路事故的数量继续上升。造成事故的三个主要因素是:道路基础设施、车辆和驾驶员。司机对碰撞的贡献最大。如果在适当的时间向司机提供正确的信息(例如驾驶行为、易发生事故的地区和车辆状况),他/她可以做出更好的驾驶决策,并迅速对紧急情况作出反应。本文提出了一个框架,在毛里求斯更安全的驾驶,使用车载诊断模块(OBDII)收集数据,如车辆平均速度,发动机转速和加速度。该模块将数据转发到云环境,在云环境中,自适应算法分析数据并实时预测驾驶员的行为。根据驾驶行为,手机警报可以以信息、语音命令或哔哔声的形式发送给司机。还进行了一项调查,以评估毛里求斯不同年龄组的人对这种框架的接受率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A framework for safer driving in Mauritius

According to the National Transport Authority (NTA), there were 493,081 registered vehicles in Mauritius in April 2016, which represents a 1.4% annual increase compared to 2015. Despite the sensitization campaigns and the series of measures setup by the Minister of Public Infrastructure and Land Transport, the number of road accidents continues to rise. The three main elements that contribute to accidents are: road infrastructure, vehicle and driver. The driver has the highest contribution in collisions. If the driver is given the right information (e.g. driving behaviour, accident-prone areas and vehicle status) at the right time, he/she can make better driving decisions and react promptly to critical situations. This paper proposes a framework for safer driving in Mauritius that uses an on-board car diagnostic module (OBDII) to collect data such as vehicle average speed, engine revolution and acceleration. This module relays the data to a cloud environment where an adaptive algorithm analyses the data and predicts driver behaviour in real-time. Based on driving behaviour, mobile alerts can be sent to the driver in the form of messages, voice commands or beeps. A survey was also carried out to evaluate the acceptance rate of such a framework by people of different age groups in Mauritius.

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