@article{ref1,
title="Vehicle lane change behavior detection method based on machine learning",
journal="Advances in transportation studies",
year="2023",
author="Yan, X. T. and Shang, Z. L.",
volume="",
number="SI 1",
pages="27-38",
abstract="In this paper, a vehicle forced lane change behavior detection algorithm based on machine learning is proposed. Collect the vehicle's forward looking monocular video image and determine the reasonable region of interest; The intention and process of vehicle forced lane change are analyzed by video image features, and the vehicle forced lane change motivation model is established; Use Kalman filter in machine learning to track vehicles; Calculate the centroid coordinates of the target vehicle and the distance of the lane line, and determine whether the vehicle in front has a forced lane change behavior in combination with the lane change motivation model. The experimental results show that this method has higher accuracy in detecting vehicle lane change behavior.<p /> <p>Language: en</p>",
language="en",
issn="1824-5463",
doi="",
url="http://dx.doi.org/"
}