SAFETY SYSTEM FOR AUTOMATIC ACCIDENT DETECTION AND AMBULANCE RESCUE SYSTEM

Amna Ahmed Ibrahim Dawood, Megdi Eltayeb, Akram Omara

Abstract


With the large increase for vehicles and cars of various kinds and the movement of a large development that occur every day on the roads and streets, it was natural and realistic to increase traffic accidents by multiple causes, but the real dilemma lies in how to rescue the injured in these accidents.  Accounting for traffic jams and lack of presence of ambulances or cars traffic police near the scene impediments Impede to the quick access to the location of the accident, or even the arrival of ambulances carrying the injured to hospitals, which reduces the probability to survive in case of severe injuries or also doubles the rate of exacerbation of minor injuries. The model that we are presenting today is an attempt to provide radical solutions to those problems that have been mentioned previously and up to facilitate the access of ambulances to the accident location or to hospitals easily depending on the three electronic circuits, the first one in a civil's cars, the second in the ambulances, and the third one in the traffic light system.  The first circuit situated in civilian's cars and its mission is to inform the ambulances by sending the message to contain the location of the accident. The second is the circuit in the ambulance which controls traffic signals facing the ambulance on its way to either the accident location or to hospitals. The third circuit is the traffic signal which is connected with the second mentioned circuit (ambulance) by radio frequency, to give full control of the traffic lights by ambulances system. All these circuits designed and work together to facilitate the arrival of ambulances to the accident in order to ensure quick access to rescue cases resulting from the incident.

Full Text:

PDF

References


Shallal, M.M., 2016. Traffic Loading for Pavement Design in Sudan. Journal of Building and Road Research, 9(1).

World Health Organization, 2016. World health statistics 2016: monitoring health for the SDGs sustainable development goals. World Health Organization.

Raza, M.Z., Ahmed, F., Ahmed, A., Ghani, A., Malik, L. and Siddiqui, U.A., 2013. Title of the study: a retrospective analysis of the pattern and severity of injuries in victims of road traffic accidents in Karachi, Pakistan during 2010–2011. Emergency Med, 3(144), p.2.

Prabha, C., Sunitha, R. and Anitha, R., 2014. Automatic vehicle accident detection and messaging system using gsm and gps modem. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(7), pp.10723-10727.

White, J., Thompson, C., Turner, H., Dougherty, B. and Schmidt, D.C., 2011. Wreckwatch: Automatic traffic accident detection and notification with smartphones. Mobile Networks and Applications, 16(3), pp.285-303.

Iyyappan, M.S. and Nandagopal, M.V., 2013. Automatic accident detection and ambulance rescue with intelligent traffic light system. International journal of advanced research in electrical, electronics and instrumentation engineering, 2(4), p.1319.

National Research Council, 1995. The global positioning system: A shared national asset. National Academies Press.

Odero, W., Garner, P. and Zwi, A., 1997. Road traffic injuries in developing countries: a comprehensive review of epidemiological studies. Tropical Medicine & International Health, 2(5), pp.445-460.




DOI: https://doi.org/10.23956/ijarcsse.v9i4.944

Refbacks

  • There are currently no refbacks.




© International Journals of Advanced Research in Computer Science and Software Engineering (IJARCSSE)| All Rights Reserved | Powered by Advance Academic Publisher.