Temporal-Spatial Traffic Flow Prediction Model Based on Prompt Learning

Temporal-Spatial Traffic Flow Prediction Model Based on Prompt Learning

Traffic flow prediction is one of the most important and attractive topics in geographical information science (GIS), traffic management, and logistics. Traffic flows exhibit significant complexity and dynamics, requiring a thorough understanding of their spatiotemporal evolution patterns for accura...

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Bibliographic Details
Main Authors: Siteng Cai, Gang Liu, Jing He, Yulun Du, Zhichao Si, Yunhao Jiang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:ISPRS International Journal of Geo-Information
Subjects:
spatiotemporal traffic flow prediction
distribution shift
prompt learning
Online Access:https://www.mdpi.com/2220-9964/14/1/11
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