The invention provides a congestion prediction device, a congestion prediction method, and a storage medium. The mapping outputs an output variable by inputting a plurality of input variables. The output variable indicates the degree of congestion in a predetermined specific area. The mapping is learned by machine learning in advance. The plurality of input variables include a plurality of congestion variables. Each of the plurality of congestion variables indicates the degree of congestion in the specific area per constant time in a specific period. The output variable indicates the degree of congestion after the constant time has elapsed with respect to the end of the specific period.
本发明提供拥堵预测装置、拥堵预测方法以及存储介质。映射通过被输入多个输入变量而输出输出变量。上述输出变量表示预先决定的特定区域内的拥堵的程度。上述映射是预先通过机器学习进行学习而得的。多个上述输入变量具备多个拥堵变量。多个上述拥堵变量的每一个表示特定期间内的每恒定时间的上述特定区域内的拥堵的程度。上述输出变量表示相对于上述特定期间的末期经过上述恒定时间之后的上述拥堵的程度。
Congestion prediction device, congestion prediction method, and storage medium
拥堵预测装置、拥堵预测方法以及存储介质
2024-04-05
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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