A Proposal for an Advanced Smart System of Vehicle Accidents Detection


  • Muna Khamis Juma AL Mukhaini Middle East College
  • Khoula Al Harthy Middle East College




Vehicles, Sensors, waterfall methodology, fatalities


In Oman, statistics show that vehicle accidents cause negative effects at the social and economic level resulting in high mortality and injuries. Heavy losses indirectly affect both people and the property of the country. Last year, the percentage of road accidents across Oman was about 33.3% compared to 2017, road accidents accounted for 28.8% less than in 2018. Furthermore, there were many minor accidents in difficult geographic areas in Oman that resulted in deaths because of delay and difficulty the rescues teams had to discover the accidents locations.  In order to reduce road traffic fatalities, the rescue teams? took an effective way. They reduced the time between accidents and the emergency team sending to the scene by using detection system via sensors connected in cars.  The aim of this project is to propose an advanced system for accident tracking and monitoring. This research targets the result to reduces the number of serious injuries and death tolls and enable the competent authorities to monitor any accident in all vehicles registered at the system. The modified waterfall methodology has been used. This methodology? contains five different stages that contribute to the successful implementation of this system by tracking the project step by step for these stages you can refer to any previous stage in order to amend documents and jobs therein.


Download data is not yet available.


Metrics Loading ...



How to Cite

AL Mukhaini, M. K. J., & Al Harthy, K. (2020). A Proposal for an Advanced Smart System of Vehicle Accidents Detection. Journal of Student Research. https://doi.org/10.47611/jsr.vi.959