A deep-learning framework considering multiple motifs for traffic travel time prediction
| Author(s): |
Baozhen Yao
(State Key Laboratory of Structural Analysis for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology, Dalian, PR China)
Sixuan Chen (State Key Laboratory of Structural Analysis for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology, Dalian, PR China) Xiaoqi Nie (State Key Laboratory of Structural Analysis for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology, Dalian, PR China) Ankun Ma (State Key Laboratory of Structural Analysis for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology, Dalian, PR China) Mingheng Zhang (State Key Laboratory of Structural Analysis for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology, Dalian, PR China (corresponding author: )) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Proceedings of the Institution of Civil Engineers - Transport, 1 August 2024, n. 5, v. 177 |
| Page(s): | 1-12 |
| DOI: | 10.1680/jtran.23.00006 |
- About this
data sheet - Reference-ID
10727761 - Published on:
30/05/2023 - Last updated on:
31/08/2024
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