The invention provides a fine-grained urban traffic flow inference method based on spatial heterogeneity, and the method comprises the steps: firstly constructing a traffic flow fine-grained inference model, inferring a fine-grained urban traffic flow, then carrying out the masking, and finally constructing an encoder-double decoder model, the coarse-grained urban traffic flow and other data sequentially pass through the trained traffic flow fine-grained inference model and the encoder-double decoder model, and fine-grained urban traffic flow inference and fine-grained difficult area positioning and compensation are completed. According to the fine-grained urban traffic flow inference method based on spatial heterogeneity provided by the invention, spatial heterogeneity under an urban geographical background is fully considered, fine-grained urban traffic flow inference can be more effectively carried out, the model is guided to pay more attention to urban areas with complex flow modes in an optimization process, and the inference accuracy is improved. And furthermore, the traffic flow condition of the type of region can be better restored.
本发明提供了一种基于空间异质性的细粒度城市交通流推断方法,首先构建交通流量细粒度推断模型,推断出细粒度城市交通流,接着进行掩码,最后构建编码器‑双解码器模型,将粗粒度城市交通流等数据依次通过训练完成的交通流量细粒度推断模型和编码器‑双解码器模型,完成细粒度城市交通流推断以及细粒度困难区域的定位和补偿。本发明提供的一种基于空间异质性的细粒度城市交通流推断方法,充分考虑城市地理背景下的空间异质性,能够更有效地进行细粒度城市交通流量推断,引导模型在优化过程中更关注那些具有复杂流动模式的城市区域,进而更好地还原该类型区域的交通流量情况。
Fine-grained urban traffic flow inference method based on spatial heterogeneity
一种基于空间异质性的细粒度城市交通流推断方法
2024-02-02
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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