Road Accident Prediction System for Highway Authorities

  • Suresh Babu Satukumati, I. Navakanth, Shivaprasad Satla

Abstract

Road Accidents kill well over a million people for every year around the globe with an expected 23 to 34 million harmed. The solid pattern is for these disturbing figures to ceaselessly increment in low-pay nations and, for sure, these nations presently represent about 85% of the world's yearly road passings. With this high hazard for road clients in creating nations comes late investigation proof that in spite of the fact that the poor may not be at any higher danger of road passing and genuine damage, numerous nonpoor families become ruined after a relative's contribution in a road accident. Road accidents are along these lines clearly obstructing national and universal endeavors to lessen neediness fundamentally. In settling on an improvement system for another or updated road, in a perfect world the long haul impact that this foundation improvement will have on road security ought to be taken into account.

Published
2020-03-30
How to Cite
Suresh Babu Satukumati, I. Navakanth, Shivaprasad Satla. (2020). Road Accident Prediction System for Highway Authorities. International Journal of Advanced Science and Technology, 29(3), 10133 - 10142. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/27057
Section
Articles