Mobile Accident Notification

Year 2016, Special Issue (2016), 145 - 144, 01.12.2016

MEVLÜT İnan , Rıdvan Saraçoğlu

https://doi.org/10.18100/ijamec.268580

Abstract

Traffic accidents are one of the most important
and serious problems, our country encounters. As the percentage of injured and
casualties in traffic accidents are huge in numbers, it causes thousands of people
injured or dead in a year. In the situation of coming by a traffic accident
that we face commonly in daily life, generally people directly use their mobile
phones and call the related units. However, as the required, right and adequate
information is not given to these related units, the cases may sometimes end
with casualties.  One of the most
important reasons of casualties in car accidents is the wrong, senseless first
aids performed to the victims of injuries by surrenders.  In this study, the aim is to determine the
exact location of the accident with its latitude and longitude that is
determined automatically via the application present in the responsive citizen
who tries to help the victims of the accident. 

With this system named as “Mobile
Accident Notification” the users are aimed to send accident notification in online
or via sending message when there is no internet access with the help of mobile
applications that process in Android Operating System. These accident data kept
in remote server are monitored on web pages or Android mobile phones. In this
thesis, a web-based, open-source accident filtration system was developed and
the accidents were provided to be monitored by the authorized people in related
units.

Keywords

Mobile accident, Accident notification, Mobile accident tracking, Android mobile accident

References

• [1] K. Sangeetha, P. Archana, M. Ramya, and P. Ramya, “Automatic ambulance rescue with intelligent traffic light system, “, IOSR Journal of Engineering(IOSRJEN), vol. 4, pp. 53-57, 2014.
• [2] Ch. R. Keerthi, G. Shanmukh, and R. Sivaram, “Various accident detection technologies and recovery systems with victim analysis, “, International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE), vol. 2, pp. 07-12, 2013.
• [3] MD. S. Amin, M. A. S. Bhuiyan, M. B. I. Reaz, and S. S. Nasir, “GPS and map matching based vehicle accident detection system, “ IEEE Student Conference on Research and Development (SCOReD), Putrajaya, Malaysia, Dec. 2013.
• [4] P. J. Lagassey, “Advanced automobile accident detection, data recordation and reporting system,“ U.S. Patent 7 348 895, 2008.
• [5] J. Kraus, C. Peek-Asa, D. Vimalachandra, “Injury control: The Public Health Approach, “ Maxcy- Rosenau-Last, Public Health&Preventive Medicine, Wallace Robert B., MD, Msc, vol.2, pp. 1209-1210, 1998.