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Social Impacts of Using Internet of Things and Data Analytics to Prevent and Reduce the Rate of Accidents

Social Impacts of Using Internet of Things and Data Analytics to Prevent and Reduce the Rate of Accidents

K.G. Srinivasa, Abhinav Shikhar, J.S. Naveen, B.J. Sowmya
Copyright: © 2016 |Volume: 7 |Issue: 4 |Pages: 17
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781466690837|DOI: 10.4018/IJAEC.2016100104
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MLA

Srinivasa, K.G., et al. "Social Impacts of Using Internet of Things and Data Analytics to Prevent and Reduce the Rate of Accidents." IJAEC vol.7, no.4 2016: pp.60-76. http://doi.org/10.4018/IJAEC.2016100104

APA

Srinivasa, K., Shikhar, A., Naveen, J., & Sowmya, B. (2016). Social Impacts of Using Internet of Things and Data Analytics to Prevent and Reduce the Rate of Accidents. International Journal of Applied Evolutionary Computation (IJAEC), 7(4), 60-76. http://doi.org/10.4018/IJAEC.2016100104

Chicago

Srinivasa, K.G., et al. "Social Impacts of Using Internet of Things and Data Analytics to Prevent and Reduce the Rate of Accidents," International Journal of Applied Evolutionary Computation (IJAEC) 7, no.4: 60-76. http://doi.org/10.4018/IJAEC.2016100104

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Abstract

Hundreds of lives in the country are lost each day due to the delayed medical response to the accident spots. 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 kit 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. 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.

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