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COOC: Visual Exploration of Co-Occurrence Mobility Patterns in Urban Scenarios

  • Published:2019-06 Issue:3 Volume:6 Page:403-413
  • ISSN:2329-924X
  • Container-title:IEEE Transactions on Computational Social Systems
  • language:
  • Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Kong XiangjieORCID,Li Menglin,Zhao Gaoxing,Zhang HuijieORCID,Xia FengORCID

Funder

National Natural Science Foundation of China

Dalian Science and Technology Innovation Fund

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Stream Data Service Framework for Real-Time Vehicle Companion Discovery;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

2. MCC-Vis: Visual Analysis for City Regional Co-occurrence Pattern Based on Traffic Trajectory Data;2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI);2022-08-19

3. Interactive visual analytics of moving passenger flocks using massive smart card data;Cartography and Geographic Information Science;2022-03-09

4. Intra-City Traffic Data Visualization: A Systematic Literature Review;IEEE Transactions on Intelligent Transportation Systems;2021

5. A Special Event-Based K-Nearest Neighbor Model for Short-Term Traffic State Prediction;IEEE Access;2019
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