ARTIFICIAL INTELLIGENCE BASED TRAFFIC PREDICTION SYSTEM FOR AUTONOMOUS VEHICLES

Abstract

The self-driving car market will be valued at $2,161.79 billion by 2030 because of the automotive industry's current strong
growth. A self-driving automobile, often referred to as a self-driving vehicle, is a ground vehicle with the ability to recognise
its surroundings and operate alone. One of the most intelligent features is Lane Departure Warning, but it sometimes doesn't
work in practical scenarios. Just above the hood, install the camera to prevent this and the video is next preprocessed in a
Python programme to convert it to HSV and HLS frames at a time, leaving behind masked areas of the road that may be
utilized with the Hough transform technique to identify vehicles in lanes. The car's steering is directed in the desired direction
with the assistance of the Arduino UNO. The majority of accidents can be avoided and people's confidence will rise by using
this technology. Both passengers and pedestrians are safeguarded by this. This information shows the car's precise location
while it is moving. Based on this insight, the security features using online video downloads is developed.