Yue Li

  • Ph.D student (Urban Studies)

Email: y.li.17@research.gla.ac.uk

Adress: Urban Big Data Centre, 7 Lilybank Gardens, University of Glasgow, Glasgow, G12 8RZ

ORCID iD https://orcid.org/0009-0003-6531-1184

Research title: Estimation and Prediction of Urban Traffic Flows with Emerging Urban Big Data by Deep Learning and Computer Vision

Research Summary

Yue's research aims to apply machine learning and deep learning to analyse and forecast the traffic flow distributions before, during, and after COVID-19 via various urban parameters and existing traffic flow data. Yue’s research is funded by China Scholarship Council.

Research interests

  • Spatial Analysis
  • Temporal Analysis
  • Urban Transport
  • Machine learning
  • Deep Learning

Publications

List by: Type | Date

Jump to: 2023 | 2022
Number of items: 2.

2023

Li, Y. , Zhao, Q. , Wang, M. and , (2023) Analysis The Influencing Factors of Urban Traffic Flows by Using Emerging Urban Big Data. In: 31st Annual Geographical Information Science Research UK Conference (GISRUK2023), Glasgow, Scotland, 19-21 Apr 2023, (doi: 10.5281/zenodo.7839683)

2022

Li, Y. , Zhao, Q. and Wang, M. (2022) Analysis the Influencing Factors of Urban Traffic Flows by Using New and Emerging Urban Big Data and Deep Learning. In: XXIVth ISPRS Congress, Nice, France, 6-11 June 2022, pp. 537-543. (doi: 10.5194/isprs-archives-XLIII-B4-2022-537-2022)

This list was generated on Mon Jun 17 16:54:32 2024 BST.
Number of items: 2.

Conference Proceedings

Li, Y. , Zhao, Q. , Wang, M. and , (2023) Analysis The Influencing Factors of Urban Traffic Flows by Using Emerging Urban Big Data. In: 31st Annual Geographical Information Science Research UK Conference (GISRUK2023), Glasgow, Scotland, 19-21 Apr 2023, (doi: 10.5281/zenodo.7839683)

Li, Y. , Zhao, Q. and Wang, M. (2022) Analysis the Influencing Factors of Urban Traffic Flows by Using New and Emerging Urban Big Data and Deep Learning. In: XXIVth ISPRS Congress, Nice, France, 6-11 June 2022, pp. 537-543. (doi: 10.5194/isprs-archives-XLIII-B4-2022-537-2022)

This list was generated on Mon Jun 17 16:54:32 2024 BST.

Grants

External funding

  • 2022-2023. PI. Enrichment Community Award of The Alan Turing Institute, United Kingdom (£1,500)

Conference

2023

  • Li, Y., Zhao, Q., and Wang, M. Understanding Urban Traffic Flows in Response to COVID-19 pandemic with Emerging Urban Big Data in Glasgow. 2023 Annual Meeting of the American Association of Geographers, Denver, USA, March 23-March 27, 2023. (Online Presentation)
  • Li, Y., Zhao, Q., & Wang, M. Analysis The Influencing Factors of Urban Traffic Flows by Using Emerging Urban Big Data. 31th Geographical Information Science Research UK Conference (GISRUK 2023), Glasgow, UK, April 19-April 21, 2023. (Poster)

  • Li, Y., Zhao, Q., & Wang, M. Predicting Urban Traffic Flows for Pandemic Preparation with Emerging Urban Big Data and Deep Learning in Glasgow. GIScience 2023, Leeds, UK, September 12-15, 2023. (Poster)

2022

  • Li, Y., Zhao, Q., and Wang, M. “Analysis the Influencing Factors of Urban Traffic Flows by Using New and Emerging Urban Big Data and Deep Learning.” International Society for Photogrammetry and Remote Sensing XXIV ISPRS Congress, Nice, France, June 6-June 11, 2022. (Presentation)
  • Li, Y., Zhao, Q., and Wang, M. Analysis the Influencing Factors of Urban Traffic Flows by Using New and Emerging Urban Big Data in Response to COVID-19. Royal Geographical Society (with IBG) Annual International Conference, Newcastle, UK, August 31-September 2, 2022. (Presentation)

Teaching

Demonstrator

Postgraduate

  • GEOG5128: Introduction to GIS (Fall 2022)
  • GEOG5015: Web and Mobile Mapping (Spring 2023)
  • GEOG5008: Geospatial Fundamentals (Fall 2023)

Undergraduate

  • GEOG2001: Geography 2 (Fall 2022 & 2023)

Additional Information

Professional societies

  • 2022- Present. Postgraduate Representative, RGS-IBG Quantitative Methods Research Group, Royal Geographical Society

External training