中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [3]
地理科学与资源研究所 [2]
采集方式
OAI收割 [5]
内容类型
期刊论文 [4]
会议论文 [1]
发表日期
2023 [1]
2022 [2]
2021 [1]
2020 [1]
学科主题
筛选
浏览/检索结果:
共5条,第1-5条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
提交时间升序
提交时间降序
发表日期升序
发表日期降序
题名升序
题名降序
作者升序
作者降序
Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2023, 页码: 27
作者:
Zhao, Tianhong
;
Huang, Zhengdong
;
Tu, Wei
;
Biljecki, Filip
;
Chen, Long
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/16
Graph deep learning
multiview learning
travel demand prediction
multimodal transportation
smart card data
Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 3, 页码: 14
作者:
Mi, Chunlei
;
Cheng, Shifen
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/09/21
taxi-calling demands prediction
residual attention graph convolutional long short-term memory networks
deep learning
pattern dependence
Predicting Taxi-Calling Demands Using Multi-Feature and Residual Attention Graph Convolutional Long Short-Term Memory Networks
期刊论文
OAI收割
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 3, 页码: 14
作者:
Mi, Chunlei
;
Cheng, Shifen
;
Lu, Feng
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/09/21
taxi-calling demands prediction
residual attention graph convolutional long short-term memory networks
deep learning
pattern dependence
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis
期刊论文
OAI收割
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:
Chizhan Zhang
;
Fenghua Zhu
;
Yisheng Lv
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2021/06/16
Taxi demand prediction
taxi zone clustering
heterogeneity analysis
deep learning
Exploring the Side Information Fusion Method with Spatial-temporal Model for Taxi Demand Prediction
会议论文
OAI收割
中国 厦门, 2020-7-24
作者:
Jia Mou
;
Yu Liu
;
Dongchang Liu
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/05/27
SideInfo-STNet
Spatial-temporal data
Taxi demand prediction
Deep learning