Managing and Analyzing Big Traffic Data-An Uncertain Time Series Approach

Jilin Hu

doi:10.54337/aau306584084

Managing and Analyzing Big Traffic Data-An Uncertain Time Series Approach

Research output: PhD thesis

397 Downloads (Pure)

Original language	English
Supervisors	Jensen, Christian S., Principal supervisor Yang, Bin, Co-supervisor
Publisher	Aalborg Universitetsforlag
Electronic ISBNs	978-87-7210-364-8
DOIs	https://doi.org/10.54337/aau306584084
Publication status	Published - 7 May 2019

Bibliographical note

PhD supervisor: Prof. Christian S. Jensen
Aalborg University

PhD Co-Supervisor: Prof. Bin Yang
Aalborg University

Keywords

Spatio-Temporal
Time Series
Uncertain Data
Machine Learning

Access to Document

10.54337/aau306584084

PHD_Jilin_Hu_E-pdfFinal published version, 7.07 MB

AUB Link

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1 Article in proceeding
1 Journal article

Stochastic Weight Completion for Road Networks using Graph Convolutional Networks
Hu, J., Guo, C., Yang, B. & Jensen, C. S., 2019, Proceedings of 35th IEEE International Conference on Data Engineering, ICDE 2019. IEEE, p. 1274-1285 12 p. 8731475. (Proceedings of the International Conference on Data Engineering).
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
68 Citations (Scopus)
Risk-aware path selection with time-varying, uncertain travel costs: a time series approach
Hu, J., Yang, B., Guo, C. & Jensen, C. S., 1 Apr 2018, In: VLDB Journal. 27, 2, p. 179–200 22 p.
Research output: Contribution to journal › Journal article › Research › peer-review
50 Citations (Scopus)

Cite this

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PB - Aalborg Universitetsforlag

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Managing and Analyzing Big Traffic Data-An Uncertain Time Series Approach

Bibliographical note

Keywords

Access to Document

AUB Link

Research output

Stochastic Weight Completion for Road Networks using Graph Convolutional Networks

Risk-aware path selection with time-varying, uncertain travel costs: a time series approach

Cite this