Abstract
Road accidents are the major risk factor in day-to-day life. The prevention and quick detection of an accident is the priority in saving the lives of human beings. Advances in technologies like the internet of things (IoT) make life better for everyone but adding technologies to control and manage traffic in a smarter way is a big challenge. Accident prevention and detection system (APDS) is developed to provide real time support to the people through IoT. The APDS aims to provide an early solution to day-to-day traffic incidents. The prevention of accidents is more important as vehicles are controlled by human beings. The parameters, like change in speed, human body part movements, overtaking, rule braking, etc., are responsible for the accident. It can be managed or controlled using some rule-based techniques. The abnormal behavior of each parameter can be identified by continuous monitoring, and reporting the same well in before may reduce the occurrence of an accident. Once an accident occurs, the detail information of accident data are shared with end-users with some proper authentication. The information sharing is established through machine-to-machine (M2M) communication. The end-users will get all the data regarding location, time of the accident, and many more details by accessing the web link through the internet.
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Sahoo, G.K., Pradhan, P.K., Das, S.K., Singh, P. (2021). A User Specific APDS for Smart City Applications. In: Kumar, R., Quang, N.H., Kumar Solanki, V., Cardona, M., Pattnaik, P.K. (eds) Research in Intelligent and Computing in Engineering. Advances in Intelligent Systems and Computing, vol 1254. Springer, Singapore. https://doi.org/10.1007/978-981-15-7527-3_26
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DOI: https://doi.org/10.1007/978-981-15-7527-3_26
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