Multi-point short-term prediction of station passenger flow based on temporal multi-graph convolutional network

被引：0
|
作者：
Wang, Yaguan [1 ,2 ]
Qin, Yong [1 ,3 ]
Guo, Jianyuan [2 ,3 ]
Cao, Zhiwei [1 ,2 ]
Jia, Limin [1 ,3 ]
机构：
[1] State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing,100044, China
[2] School of Traffic and Transportation, Beijing Jiaotong University, Beijing,100044, China
[3] Research Center of Urban Traffic Information Intelligent Sensing and Service Technologies, Beijing,100044, China
来源：
Physica A: Statistical Mechanics and its Applications | 2022年 / 604卷
关键词：
Convolutional networks - Flow data - Graph attention network - Graph convolutional network - Multi-graph - Passenger flow predictions - Passenger flows - Short-term passenger flow prediction - Temporal graphs - Urban rail station;
D O I：
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学科分类号：
摘要：
40
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