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November 28, 2025Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering

A novel adaptive spatio-temporal dual-branch model for traffic flow prediction

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Authors

LDLei DuZWZhi-Yong WuFJFengna JiShandong University of Technology

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Overview

Adaptive model improves prediction accuracy and robustness in intelligent transportation systems, indicating enhanced traffic management optimization.

Key Points

  • Improved model enhances prediction accuracy in traffic flow forecasting, focusing on dynamic spatial dependence.
  • Achieved higher robustness with novel techniques, showing stronger performance on traffic datasets.
  • Analysis involved optimizing spatio-temporal features, significantly addressing the limitations of previous forecasting technologies.
  • Findings support better resource scheduling and urban planning based on advanced prediction insights.

Cite This Study

Du et al. (2025) studied this question.

synapsesocial.com/papers/6928f113a65b730b9ea79e6bhttps://doi.org/10.1177/09544070251381939
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