Deep Transfer Learning Based Intersection Trajectory Movement Classification for Big Connected Vehicle Data

Deep Transfer Learning Based Intersection Trajectory Movement Classification for Big Connected Vehicle Data

Trajectory movement labelling is an important pre-stage for predicting connected vehicle (CV) movement at intersections. Drivers’ movement prediction and warning at intersections ensure advanced transportation safety and researchers use machine learning-based data-driven approaches to imp...

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Bibliographic Details
Main Authors: Md Mostafizur Rahman Komol, Mohammed Elhenawy, Mahmoud Masoud, Sebastien Glaser, Andry Rakotonirainy, Merle Wood, David Alderson
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Connected vehicle
movements classification
intersection
map matching
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9568928/

Internet

https://ieeexplore.ieee.org/document/9568928/

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