The invention discloses a traffic event road network traffic capacity attenuation prediction method based on multi-source data. The method comprises the following steps: collecting and preprocessing multi-source data; decomposing multi-dimensional influence factors; constructing a space-time attenuation model; analyzing a network propagation effect; and generating and optimizing a prediction result. Compared with the prior art, the method is characterized in that a multi-dimensional influence factor coupling mechanism is established; a spatio-temporal evolution prediction mechanism is established; the method has the following beneficial effects: the prediction precision is improved; the calculation efficiency is improved; and the method has good application value.
本发明公开了一种基于多源数据的交通事件路网通行能力衰减预测方法包括:多源数据采集与预处理;多维影响因子分解;时空衰减模型构建;网络传播效应分析;预测结果生成与优化。与现有技术方案相比,本发明的创新之处在于:建立了多维影响因子耦合机制;建立了时空演化预测机制;进行网络级联效应分析,具有如下有益效果:提升了预测精度;改进了计算效率;具有良好的应用价值。
Multi-source data-based traffic event road network traffic capacity attenuation prediction method
一种基于多源数据的交通事件路网通行能力衰减预测方法
06.05.2025
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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