Abstract
There are two sides of every coin, it happens with technology and there are pros and cons of it. In the current scenario, vehicles have provided a convenient commute, but the increasing number of vehicles on roads creates heavy traffic and road accidents. To overcome the problem of road accident, our project on automatic vehicle accident detection and rescue system will help detecting the accident and call in the emergency medic with sending current location. Our survey on this topic is made to construct such a system which is efficient and reliable. Moreover, we analyze different approaches on which work has been done to create a successor system which overcomes false detection of an accident.
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References
Sadaphal I, Sangameshwarkar R, Singh S, Patil S, Kale S (2019) Accident detection and alert system using android application. Int J Res Appl Sci Eng Technol 7(V)
Vasu L (2010) An effective step to real-time implementation of accident detection system using image processing. Submitted to the Faculty of the Graduate College of the Oklahoma State University
Dogru N, Subasi A Traffic accident detection by using machine learning methods. International Burch University, Sarajevo, Bosnia and Herzegovina
Boukerche A, Oliveira H, Nakamura E, Loureiro A Vehicular ad hoc networks: a new challenge for localization-based systems. Comput Commun 2838–2849
White J, Thompson C, Turner H, Dougherty B, Schmidt DC (2011) WreckWatch: automatic traffic accident detection and notification with smartphones. Artic Mob Netw Appl
Ecall mobility and transport (2019) https://ec.europa.eu/transport/road_safety/specialist/knowledge/esave/esafety_measures_unknown_safety_effects/ecall_en. Accessed 21 Oct 2019
Prachi B, Kasturi D, Priyanka C (2014) Intelligent accident-detection and ambulance-rescue system. IJSTR 3(V)
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Chaudhary, U., Patel, A., Patel, A., Soni, M. (2021). Survey Paper on Automatic Vehicle Accident Detection and Rescue System. In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_35
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DOI: https://doi.org/10.1007/978-981-15-4474-3_35
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