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Real-time freeway traffic state estimation for inhomogeneous traffic flow

Author

Listed:
  • Zhao, Mingming
  • Yu, Hongxin
  • Wang, Yibing
  • Song, Bin
  • Xu, Liang
  • Zhu, Dianchen

Abstract

This paper addresses model-based approach considering online model parameters estimation to estimate the real-time freeway traffic state for inhomogeneous traffic flow. Its effectiveness is demonstrated through macroscopic simulation and the influence of detector configuration on the estimation performance is investigated. The results indicate that when a freeway is inhomogeneity, additional detectors need to be placed at the boundary of traffic flow inhomogeneity to achieve better estimation performance. Finally, it is confirmed that considering traffic flow inhomogeneity can achieve better estimation performance using real expressway data from Shanghai.

Suggested Citation

  • Zhao, Mingming & Yu, Hongxin & Wang, Yibing & Song, Bin & Xu, Liang & Zhu, Dianchen, 2024. "Real-time freeway traffic state estimation for inhomogeneous traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
    • Handle: RePEc:eee:phsmap:v:639:y:2024:i:c:s0378437124001419
    DOI: 10.1016/j.physa.2024.129633
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    References listed on IDEAS

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