App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 10

Improved ASTGCN-based short-duration traffic flow predication in urban areas

Zeng Tian
Yang Degang
College of Computer & Information Science, Chongqing Normal University, Chongqing 401331, China
DOI: 10.19734/j.issn.1001-3695.2026.02.0035

Abstract

This study proposed an improved ASTGCN model to address the difficulty of existing methods in effectively modeling complex spatiotemporal dependencies for short-term urban traffic flow prediction. It first designed a policy convolution module (PCM) to extract correlation-aware features, then constructed a multi-scale attention fusion module to integrate serial and parallel weighted features, and further developed a recurrent graph convolution module to capture temporal dynamics with fused graph contextual information. Based on the latter two modules, it built attention spatio-temporal state graph isomorphism block (ASTSGINB) to extract deep spatio-temporal-state features(DSTS) . Experiments show that, compared with the original ASTGCN, the proposed model reduces MAE, RMSE, and MAPE by 0.09, 0.17, and 0.1% on METR-LA, and by 0.07, 0.09, and 0.3% on PEMS-BAY, respectively, achieving state-of-the-art MAPE performance. Complexity and inference speed analysis demonstrates that single-step inference meets real-time requirements. Performance under random sensor missing and sudden traffic disturbances confirms that the model maintains strong robustness and engineering practicality.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.02.0035
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 10

Publish History

[2026-06-29] Accepted Paper

Cite This Article

曾添, 杨德刚. 基于改进ASTGCN的城市区域短时车流量预测 [J]. 计算机应用研究, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2026.02.0035. (Zeng Tian, Yang Degang. Improved ASTGCN-based short-duration traffic flow predication in urban areas [J]. Application Research of Computers, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2026.02.0035. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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