A traffic state prediction method based on spatial–temporal data mining of floating car data by using autoformer architecture
| Autor(en): |
Shuangzhi Yu
(School of Transportation Southeast University Nanjing China)
Jiankun Peng (School of Transportation Southeast University Nanjing China) Yuming Ge (Institute of Technology and Standards China Academy of Information and Communications Technology Beijing China) Xinlian Yu (School of Transportation Southeast University Nanjing China) Fan Ding (School of Transportation Southeast University Nanjing China) Shen Li (School of Civil Engineering Tsinghua University Beijing China) Charlie Ma (School of Transportation Southeast University Nanjing China) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Computer-Aided Civil and Infrastructure Engineering, September 2024, n. 18, v. 39 |
| Seite(n): | 2774-2787 |
| DOI: | 10.1111/mice.13179 |
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Datenseite - Reference-ID
10770184 - Veröffentlicht am:
29.04.2024 - Geändert am:
20.09.2024
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