Lane Change Prediction based on Trajectory Analysis and Driver Actions Tracking

Abstract

With the ever burgeoning traffic and increasing unwarranted lane changes, safety of commuters and driving practices have been compromised. Most of the accidents that take place are due to unforeseen traffic and road conditions or misjudgement by the drivers. To aid the decision making of drivers to maneuver the vehicle safely, this paper proposes ELaNES, a novel system focusing on the lane changing behaviour of a vehicle. It posits a method to predict the lane change and state the characteristics associated with it. Along with this, a degree of safe lane change is calculated by taking into consideration the neighbouring vehicles’ dynamics and the driver’s intentions. The results obtained are promising, accurate and can help make decisions in the real world scenario, along with giving deep insights into human driving practices.