Citation

Yan XT, Shang ZL. Adv. Transp. Stud. 2023; (SI 1): 27-38.

Copyright

(Copyright © 2023, Arcane Publishers)

DOI

unavailable

PMID

unavailable

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.

Language: en

Keywords

Analysis; Models; Vehicles