Traffic Volume Prediction Methods in a Multi-Source Data Environment Based on the &quot;Four-Step Method&quot;

Cao, Jia; Wang, Wenna; Cheng, Yiyi; Yang, Qian

Traffic Volume Prediction Methods in a Multi-Source Data Environment Based on the "Four-Step Method"

Cao, Jia and Wang, Wenna and Cheng, Yiyi and Yang, Qian (2024) Traffic Volume Prediction Methods in a Multi-Source Data Environment Based on the "Four-Step Method". In: Proceedings of the 4th International Conference on Public Management and Intelligent Society, PMIS 2024, 15–17 March 2024, Changsha, China.

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Abstract

With the continuous updating of data collection methods in the field of highway transportation, the source of monitoring data is gradually expanding from a single static and intermittent dataset to a multi-source dataset that combines static, dynamic, and continuous data. Therefore, it is necessary

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 17:37
Last Modified:	16 Apr 2026 23:33
URI:	http://eprints.eai.eu/id/eprint/49150

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Traffic Volume Prediction Methods in a Multi-Source Data Environment Based on the &quot;Four-Step Method&quot;

Abstract

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Traffic Volume Prediction Methods in a Multi-Source Data Environment Based on the "Four-Step Method"