Abstract:
"Traffic accidents have been a serious problem since the introduction of the automobile. Despite
this worry, there have been substantial societal and economic effects of road safety issues
throughout the past century. Understanding these safety concerns and the necessity of
mitigating them requires the identification of regions that reflect a higher vehicle crashes
probability than an accepted standard.
In this project, a web application that predicts traffic accidents at specific points along a driver's
route will be created. Using the date, time, origin, and destination of the trip, this program
forecasts traffic accidents for upcoming dates. It helps users to plan their trips and view
potential traffic hazards in real-time. Therefore, this research aims to design, develop, and test
an application that will facilitate drivers to predict a road traffic accident at certain locations
along the driver’s route beforehand by getting details of the trip and the driver and save lives
and properties by mitigating the traffic accident, with the use of ensemble learning technique."
