MltAuxTSPP：一个融合多源辅助数据的交通预测深度学习统一基准框架

周渝松; 江肖禹; 孙姝; 张新民; 莫远秋; 宋执环

doi:10.1631/FITEE.2500169

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MltAuxTSPP：一个融合多源辅助数据的交通预测深度学习统一基准框架

常规文章 | Updated：2025-11-18

- MltAuxTSPP：一个融合多源辅助数据的交通预测深度学习统一基准框架
  Enhanced Publication
- MltAuxTSPP: a unified benchmark for deep learning-based traffic state prediction with multi-source auxiliary data
- “在交通状态预测领域，MltAuxTSPP引入了一个统一的基准框架，用于基于多源辅助数据的深度学习交通状态预测。专家研究人员建立了MltAuxTSPP系统，该系统为解决交通预测模型通用性和可扩展性有限的问题提供了解决方案，为构建鲁棒性和适应性强的交通状态预测系统奠定了基础。”
- Frontiers of Information Technology & Electronic Engineering 2025年26卷第10期页码：1984-1999
- Affiliations：
  
  1.College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
  2.State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
  3.School of Mathematics, Southeast University, Nanjing 211189, China
- Author bio：
  
  E-mail: zhoushichan@zju.edu.cn
  jiangxiaoyu@zju.edu.cn
  shusun@zju.edu.cn
  ‡ Corresponding author
- Funds：
  
  National Science and Technology Major Project of China(2022ZD0120003)
- DOI：10.1631/FITEE.2500169
  中图分类号： TP18
- 收稿：2025-03-17，
  
  修回：2025-08-17，
  
  纸质出版：2025-10
- Accepted：
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周渝松, 江肖禹, 孙姝, 等. MltAuxTSPP：一个融合多源辅助数据的交通预测深度学习统一基准框架[J]. Frontiers of Information Technology & Electronic Engineering, 2025,26(10):1984-1999.

Yusong ZHOU, Xiaoyu JIANG, Shu SUN, et al. MltAuxTSPP: a unified benchmark for deep learning-based traffic state prediction with multi-source auxiliary data[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1984-1999.
周渝松, 江肖禹, 孙姝, 等. MltAuxTSPP：一个融合多源辅助数据的交通预测深度学习统一基准框架[J]. Frontiers of Information Technology & Electronic Engineering, 2025,26(10):1984-1999. DOI： 10.1631/FITEE.2500169.

Yusong ZHOU, Xiaoyu JIANG, Shu SUN, et al. MltAuxTSPP: a unified benchmark for deep learning-based traffic state prediction with multi-source auxiliary data[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1984-1999. DOI： 10.1631/FITEE.2500169.

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MltAuxTSPP：一个融合多源辅助数据的交通预测深度学习统一基准框架

MltAuxTSPP: a unified benchmark for deep learning-based traffic state prediction with multi-source auxiliary data

DOI：10.1631/FITEE.2500169