Freeway merging trajectory prediction for automated vehicles using naturalistic driving data

Due to the speed difference and the complex interaction between merging and through-lane vehicles at freeway merging sections, crashes involving both human drivers and automated vehicles (AVs) persist. To assist AVs to predict the intentions of surrounding vehicles for further dynamic motion plannin...

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Bibliographic Details

Published in:	International Journal of Transportation Science and Technology
Main Authors:	Xinchen Ye, Xuesong Wang, Xiaomeng Wang, Yanli Bao, Xiaolei Zhu
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2025-09-01
Subjects:	Automated vehicle (AV) Freeway merging section Trajectory prediction Shanghai Naturalistic Driving Study (SH-NDS) Neural network (NN)
Online Access:	http://www.sciencedirect.com/science/article/pii/S2046043024000777