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Real-time Monitoring and Detection of Drink-driving and Vehicle Over-speeding

机译:酒后驾驶和车辆超速的实时监控和检测

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Drink-driving and over-speeding of vehicles are the major causes of injuries and deaths on the road globally and South Africa (SA) is not an exception. Different systems which are currently used in detecting high alcohol concentration in drivers’ breath and detecting vehicles that exceeds stipulated speed limit are not effective, efficient and poses health risks to traffic personnel. In an attempt to provide effective solutions to these challenges, this paper proposed a smart transportation system for real-time detection of drink-driving and over-speeding on the roads using technology of vehicular networks. The objective is to allow for early intervention by traffic personnel aim at saving lives before actual accident occurred. We designed a theoretical framework of the system and implemented an application prototype which is web-based for use by traffic personnel to monitor the detection of traffic offenders in the capacity of drink-driving and over-speeding. We presented and discussed the operation of the system as well as the functionalities it offers. Additionally, we utilized the application to simulate the actual system and based on its working, we found that the system is feasible and can accomplish the tasks of road safety more effective than the existing approaches.
机译:酒后驾驶和超速行驶是全球道路上伤亡的主要原因,南非(SA)也不例外。当前用于检测驾驶员呼吸中高酒精浓度和检测超过规定速度限制的车辆的不同系统是无效,高效的,并且对交通人员构成健康风险。为了提供针对这些挑战的有效解决方案,本文提出了一种智能交通运输系统,可使用车辆网络技术实时检测道路上的酒后驾驶和超速驾驶。目的是允许交通人员尽早干预,旨在在实际事故发生之前挽救生命。我们设计了该系统的理论框架,并实现了一个基于Web的应用程序原型,供交通人员使用,以监控在酒后驾驶和超速驾驶中对交通违法者的检测。我们介绍并讨论了系统的操作及其提供的功能。此外,我们利用该应用程序对实际系统进行了仿真,并基于其工作原理,发现该系统可行,并且比现有方法可以更有效地完成道路安全任务。

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