• ANAND
• Wassem Akram

It is widely known that road accidents in India are a major cause of death, as also they are one of the fundamental causes of damage caused to property, especially in urban areas. The irony is that the urban areas, though expected to be developed, see an augmented number of transportation problems like a higher traffic count than the length and breadth of the roads. This study is about the Prediction of a road accidents which will help us to analyze the future accident that is going to happen and according to that we take a precautionary measure. Traffic count data is a crucial component of the transport project selection phase since traffic count statistics can help officials define transport project needs. A count of traffic is the number of vehicles or foot traffic that is carried out along a particular road, road or intersection. It can be a manual as well as an automated procedure. While a traffic count is important to carry out construction activities, it is also important from the point of view of accident control. Management of road accidents is facilitated if the traffic count is known. In earlier days people were using NH33 for the movement between Ranchi and Tata but nowadays people are using Tata Ranchi state highway due to the worst road condition on NH33. Due to this people are forced to use Tata Ranchi state highway and its creates jam-like condition.

road accident, traffic count, NH33

"Comparative traffic analysis of NH33 and Tata Ranchi state highway and prediction model of future road accident ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.1179-1184, April-2021, Available :http://www.jetir.org/papers/JETIR2104362.pdf

"Comparative traffic analysis of NH33 and Tata Ranchi state highway and prediction model of future road accident ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp1179-1184, April-2021, Available at : http://www.jetir.org/papers/JETIR2104362.pdf