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MltAuxTSPP: a unified benchmark for deep learning-based traffic state prediction with multi-source auxiliary data
Regular Papers | Updated：2025-11-18

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

      Enhanced Publication
    • 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
    • “In the field of traffic state prediction, MltAuxTSPP introduces a unified benchmark framework for deep learning-based traffic state prediction with multi-source auxiliary data. Expert researchers established the MltAuxTSPP system, which provides solutions to solve the problem of limited generality and scalability in traffic prediction models, laying a foundation for the construction of a robust and adaptable traffic state prediction system.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 10, Pages: 1984-1999(2025)

    • DOI：10.1631/FITEE.2500169    

      CLC： TP18

    • Received：17 March 2025，

      Revised：2025-08-17，

      Published：2025-10

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  • 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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