Fine-grained highway autonomous vehicle lane-changing trajectory prediction based on a heuristic attention-aided encoder-decoder model

•A novel lane-changing trajectory segmentation and sampling algorithm is proposed.•Heuristic attention-aided encoder-decoder network is developed.•Both vehicle motion state and trajectory in the process of lane-changing are predicted.•Proposed trajectory prediction model can make a fine-grained desc...

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Veröffentlicht in:	Transportation research. Part C, Emerging technologies Jg. 140; S. 103706
Hauptverfasser:	Wei, Cheng, Hui, Fei, Yang, Zijiang, Jia, Shuo, Khattak, Asad J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.07.2022
Schlagworte:	Attention-aided encoder-decoder structure Fine-grained description Heuristic network Highway trajectory prediction Lane changing Lane changing Attention-aided encoder-decoder structure Highway trajectory prediction Heuristic network Fine-grained description
ISSN:	0968-090X, 1879-2359
Online-Zugang:	Volltext
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