Multi-Scale Non-Local Spatio-Temporal Information Fusion Networks for Multi-Step Traffic Flow Forecasting

Multi-Scale Non-Local Spatio-Temporal Information Fusion Networks for Multi-Step Traffic Flow Forecasting

Traffic flow prediction is a crucial research area in traffic management. Accurately predicting traffic flow in each area of the city over the long term can enable city managers to make informed decisions regarding the allocation of urban transportation resources in the future. The existing traffic...

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Bibliographic Details
Main Authors:	Shuai Lu, Haibo Chen, Yilong Teng
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Series:	ISPRS International Journal of Geo-Information
Subjects:	traffic flow prediction multi-scale spatio-temporal fusion spatio-temporal regional correlation convolutional LSTM non-local network
Online Access:	https://www.mdpi.com/2220-9964/13/3/71

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