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自动化研究所 [8]
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兰州理工大学 [4]
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期刊论文 [16]
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Auxiliary Network Enhanced Hierarchical Graph Reinforcement Learning for Vehicle Repositioning
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 13
作者:
Xi, Jinhao
;
Zhu, Fenghua
;
Ye, Peijun
;
Lv, Yisheng
;
Xiong, Gang
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/07/03
Mobility-on-demand system
vehicle repositioning
hierarchical graph reinforcement learning
auxiliary graph reinforcement learning
Optimized Multicar Dynamic Route Planning Based on Time-Hierarchical Graph Model
期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2023, 页码: 15
作者:
Song, Qing
;
Li, Xiaolei
;
Gao, Chao
;
Shen, Zhen
;
Xiong, Gang
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/11/16
Automobiles
Planning
Roads
Vehicles
Optimization
Computer architecture
Real-time systems
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks
期刊论文
Transportation Research Part C, 2022, 期号: 99, 页码: 1-1
作者:
Wei Zhang
;
Fenghua Zhu
;
Yisheng Lv
;
Chang Tan
;
Wen Liu
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  |  
浏览/下载:49/0
  |  
提交时间:2022/04/08
Adaptive graph learning, Traffic prediction, Graph convolutional network, Expectation maximization, Deep learning
A combined traffic flow forecasting model based on graph convolutional network and attention mechanism
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2021, 卷号: 32, 期号: 12
作者:
Zhang, Hong
;
Chen, Linlong
;
Cao, Jie
;
Zhang, Xijun
;
Kan, Sunan
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  |  
浏览/下载:16/0
  |  
提交时间:2022/03/01
Traffic flow forecasting
deep learning
attention mechanism
graph convolutional network
spatiotemporal characteristics
A deep learning traffic flow prediction framework based on multi-channel graph convolution
期刊论文
TRANSPORTATION PLANNING AND TECHNOLOGY, 2021, 卷号: 44, 期号: 8, 页码: 887-900
作者:
Zhao, Yuanmeng
;
Cao, Jie
;
Zhang, Hong
;
Liu, Zongli
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  |  
浏览/下载:7/0
  |  
提交时间:2021/12/17
Traffic flow
deep learning
graph convolution (GCN)
Long Short-Term Memory (LSTM)
spatial-temporal features
A driver-assistance algorithm based on multi-feature fusion
期刊论文
Infrared Physics and Technology, 2021, 卷号: 116
作者:
Zhou, Dongmei
;
Qiu, Shi
;
Song, Yang
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2021/05/26
Infrared image
Lane line
Fuzzy set
Spatiotemporal association
Enet
Vehicle guidance
Spatio-Temporal Graph Structure Learning for Traffic Forecasting
会议论文
New York, USA, 2020-02
作者:
Zhang Qi
;
Chang Jianlong
;
Meng Gaofeng
;
Xiang Shiming
;
Pan Chunhong
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  |  
浏览/下载:35/0
  |  
提交时间:2021/05/31
Robustness of China's air transport network from 1975 to 2017
期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 卷号: 539, 页码: 12
作者:
Chen, Yu
;
Wang, Jiaoe
;
Jin, Fengjun
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  |  
浏览/下载:6/0
  |  
提交时间:2020/05/19
China's air transport network
Robustness
Centrality
Trunk network
Deep Imitation Learning for Traffic Signal Control and Operations Based on Graph Convolutional Neural Networks
会议论文
Rhodes, Greece, 2020-9
作者:
Li Xiaoshuang
;
Guo Zhongzheng
;
Dai Xingyuan
;
Lin Yilun
;
Jin Junchen
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2022/06/16
Modeling the heterogeneous traffic correlations in urban road systems using traffic-enhanced community detection approach
期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 卷号: 501, 页码: 227-237
作者:
Lu, Feng
;
Liu, Kang
;
Duan, Yingying
;
Cheng, Shifen
;
Du, Fei
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2019/05/30
Urban road system
Spatial heterogeneity
Traffic correlation
Traffic-enhanced dual graph
Community detection
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