Traffic State Estimation in Congestion to Extend Applicability of DFOS
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866916924850438144 |
|---|---|
| author | Yajima, Yoshiyuki Prasad, Hemant Ikefuji, Daisuke Sakurai, Hitoshi Otani, Manabu |
| author_facet | Yajima, Yoshiyuki Prasad, Hemant Ikefuji, Daisuke Sakurai, Hitoshi Otani, Manabu |
| contents | This paper presents a traffic state estimation (TSE) method in congestion for distributed fiber-optic sensing (DFOS). DFOS detects vehicle driving vibrations along the optical fiber and obtains their trajectories in the spatiotemporal plane. From these trajectories, DFOS provides mean velocities for real-time spatially continuous traffic monitoring without dead zones. However, when vehicle vibration intensities are insufficiently low due to slow speed, trajectories cannot be obtained, leading to missing values in mean velocity data. It restricts DFOS applicability in severe congestion. Therefore, this paper proposes a missing value imputation method based on data assimilation. Our proposed method is validated on two expressways in Japan with the reference data. The results show that the mean absolute error (MAE) of the imputed mean velocities to the reference increases only by 1.5 km/h as compared with the MAE of non-missing values. This study enhances the wide-range applicability of DFOS in practical cases. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_21138 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Traffic State Estimation in Congestion to Extend Applicability of DFOS Yajima, Yoshiyuki Prasad, Hemant Ikefuji, Daisuke Sakurai, Hitoshi Otani, Manabu Systems and Control Statistical Mechanics Cellular Automata and Lattice Gases Physics and Society This paper presents a traffic state estimation (TSE) method in congestion for distributed fiber-optic sensing (DFOS). DFOS detects vehicle driving vibrations along the optical fiber and obtains their trajectories in the spatiotemporal plane. From these trajectories, DFOS provides mean velocities for real-time spatially continuous traffic monitoring without dead zones. However, when vehicle vibration intensities are insufficiently low due to slow speed, trajectories cannot be obtained, leading to missing values in mean velocity data. It restricts DFOS applicability in severe congestion. Therefore, this paper proposes a missing value imputation method based on data assimilation. Our proposed method is validated on two expressways in Japan with the reference data. The results show that the mean absolute error (MAE) of the imputed mean velocities to the reference increases only by 1.5 km/h as compared with the MAE of non-missing values. This study enhances the wide-range applicability of DFOS in practical cases. |
| title | Traffic State Estimation in Congestion to Extend Applicability of DFOS |
| topic | Systems and Control Statistical Mechanics Cellular Automata and Lattice Gases Physics and Society |
| url | https://arxiv.org/abs/2508.21138 |