Abstract
The aim of the project is to attempt the reduction of occurrence of accidents by providing effective and precautionary notifications to the user on the progressive Web app, if the user is approaching the accident-prone zone. In the past, due to road accidents, over ten lakhs people had been killed and 50 lakhs had been severely injured, in India. The project provides notifications about approaching vehicles in and around accident-prone areas. Notifications are voice-based so that user could focus on driving and need not constantly view the phone for the precautionary warnings. The project uses global positioning system (GPS) to specify a virtual boundary called the geofence and open-source Google APIs for setting the accident-prone areas on Google Maps. Firebase is used as a backend to store the data on real-time databases for providing a warning on approaching vehicles. The geofenced areas are marked at a sufficient distance from the actual accident-prone zones so as to provide notifications in advance. Necessary notifications are provided on the app, only if the user is in the geofenced area. The prototype also demonstrates temporary geofencing, to provide warnings about the conditions like a roadblock.
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References
Faiz, A. B., Imteaj, A., & Chowdhury, M. (2015). Smart vehicle accident detection and alarming system using a smartphone. In 1st International Conference on Computer & Information Engineering, November 26–27, 2015.
Suyama, A., & Inoue, U. (2016). Using geofencing for a disaster information system. In Copyright IEEE ICIS 2016, Okayama, Japan, June 26–29, 2016.
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Nayak, B., Mugali, P.S., Rao, B.R., Sindhava, S., Disha, D.N., Swarnalatha, K.S. (2019). GeoFencing-Based Accident Avoidance Notification for Road Safety. In: Shetty, N., Patnaik, L., Nagaraj, H., Hamsavath, P., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications. Advances in Intelligent Systems and Computing, vol 906. Springer, Singapore. https://doi.org/10.1007/978-981-13-6001-5_30
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DOI: https://doi.org/10.1007/978-981-13-6001-5_30
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