KGCN‐LSTM: A graph convolutional network considering knowledge fusion of point of interest for vehicle trajectory prediction

KGCN‐LSTM: A graph convolutional network considering knowledge fusion of point of interest for vehicle trajectory prediction

Abstract Urban vehicle trajectory prediction positively alleviates traffic congestion, avoids traffic accidents, and optimizes the urban transportation system. Since taxi trajectories are influenced by the driving intention, it is significant to consider the Points of Interest (POI) as the spatial f...

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Bibliographic Details
Main Authors:	Juan Chen, Daiqian Fan, Xinran Qian, Lanxiao Mei
Format:	Article
Language:	English
Published:	Wiley 2023-06-01
Series:	IET Intelligent Transport Systems
Subjects:	feature fusion graph convolutional network map‐matching prior knowledge trajectory prediction
Online Access:	https://doi.org/10.1049/itr2.12341

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