Traffic oscillation mitigation with physics-enhanced residual learning (PERL)-based predictive control

Real-time vehicle prediction is crucial in autonomous driving technology, as it allows adjustments to be made in advance to the driver or the vehicle, enabling them to take smoother driving actions to avoid potential collisions. This study proposes a physics-enhanced residual learning (PERL)-based p...

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Bibliographic Details

Published in:	Communications in Transportation Research
Main Authors:	Keke Long, Zhaohui Liang, Haotian Shi, Lei Shi, Sikai Chen, Xiaopeng Li
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Subjects:	Traffic oscillations Traffic safety Connected and autonomous vehicle Mix traffic Vehicle-in-the-loop
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772424724000374