Effective Prevention and Reduction in the Rate of Accidents Using Internet of Things and Data Analytics

B. J. Sowmya, Chetan Shetty, S. Seema, K. Srinivasa
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Abstract

Hundreds of lives in India are lost each day due to the delayed medical response. In the present scenario, the victims completely rely on the passersby for almost every kind of medical help such as informing the hospital or ambulance. This project aims to automate the process of detecting and reporting accidents using accident detection kits in vehicles. The kit has a system on chip and various sensors which sense various parameters that change drastically during the occurrence of accidents such as the vibration levels, orientation of vehicles with respect to the ground. The accident is said to occur when these values cross the permissible threshold limit. As soon as this happens, the latitude and longitude of the accident spot is tracked using the GPS module present in the kit. The nearest hospital and police station is computed by the GPS module, which uses the latitude and longitude values as the input. The accident notifications are sent to the concerned hospital and police station over the web interface accordingly. The assignment of particular ambulance and the required traffic policemen to the accident cases is done using the web interface. The android application guides the ambulance driver as well as the policemen to the accident spot and also helps in the detailed registration of the accidents. The closest doctor facility and police headquarters is processed by the GPS module, which utilizes the scope and longitude esteems as the information. The accident warnings are sent to the concerned healing facility and police headquarters over the web interface as needs be. The task of specific rescue vehicle and policemen to the accident cases is finished utilizing the web interface. An intelligent analysis of the last five years' rich dataset uncovers the patterns followed by the accidents and gives valuable insights on how to deploy the existing resources such as ambulances and traffic-police efficiently. Various types of analysis are done to identify the cause-effect relationships and deal with this in a better way. Such technical solutions to the frequently occurring problems would result in saving many lives as well as making the cities safer and smarter.
利用物联网和数据分析有效预防和降低事故率
在印度,由于医疗反应迟缓,每天都有数百人丧生。在目前的情况下,受害者完全依赖路人的几乎所有的医疗帮助,如通知医院或救护车。该项目旨在利用车辆上的事故检测工具自动检测和报告事故。该套件有一个芯片系统和各种传感器,可以感知事故发生时急剧变化的各种参数,如振动水平、车辆相对于地面的方向。当这些值超过允许的阈值限制时,就会发生事故。一旦发生这种情况,就会使用工具包中的GPS模块跟踪事故地点的纬度和经度。最近的医院和警察局由GPS模块计算,它使用纬度和经度值作为输入。事故通知通过网络接口发送到有关医院和警察局。使用网页介面为事故个案指派特定的救护车和所需的交通警察。安卓应用程序引导救护车司机和警察到达事故现场,并帮助详细登记事故。最近的医疗设施和警察总部由GPS模块处理,该模块利用范围和经度系统作为信息。事故警告会根据需要通过网络界面发送到有关的康复机构和警察总部。具体的救援车辆和警察对事故案件的任务是利用web界面完成的。对过去五年丰富数据集的智能分析揭示了事故发生的模式,并就如何有效部署救护车和交通警察等现有资源提供了有价值的见解。进行各种类型的分析以确定因果关系,并以更好的方式处理这种关系。这种对经常发生的问题的技术解决方案将挽救许多生命,并使城市更安全、更智能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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