Yue Chen1,2,3,4, Jian Lu5,6,7

  • 1School of Civil Engineering and Transportation, Nanchang Hangkong University, Nanchang, 330063, China. cy_cheny_cy@163.com.

Scientific reports
|July 7, 2025
PubMed
概括

准确的交通状况预测是使用一种新的多时间细粒度方法来改进的. 这种方法增强了交通流的预测和交通状态的识别,以更好地规划和管理.

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