Time and Location:

8:00am to 12:00pm, October 27, 2019

Gallery Room 4
Cordis Hotel, Auckland
83 Symonds St, Grafton, Auckland 1010, New Zealand


  • Ye Zhao (Professor, Department of Computer Science, Kent State University, USA)
  • Xinyue Ye (Associate Professor, Department of Informatics, New Jersey Institute of Technology, USA)
  • Jing Yang (Professor, Department of Computer Science, University of North Carolina at Charlotte, USA) 
  • Shamal AL-Dohuki (Assistant Professor, Department of Computer Science, University of Duhok, KRG)


With the increasing popularity of GPS, Wi-Fi, Cellular, and RFID devices, massive trajectory data of people and vehicles are produced at an unprecedented scale and speed by a variety of researchers and practitioners in transportation, urban planning, city administration, taxi companies, as well as fleets and mobile service providers. The collected datasets are widely utilized to optimize urban mobility and infrastructure development, which enhances life and environment quality.

To extract profound insights from the data, domain users must conduct iterative, evolving information foraging and sense making and guide the process using their domain knowledge. Iterative visual exploration is one key component in the process, which should be supported by efficient data management and visualization tools with powerful computational capabilities.

In this tutorial, our major goal is to help transportation researchers and practitioners in the development of visualization systems of big trajectory datasets. Our tutorial contents will be focused on important and practical topics people face when developing a visualization system of urban trajectories. We expect the audience of the tutorial will not only gain knowledge about the visualization of urban trajectory data, but also achieve experiences in implementing online visualization systems.

The presenters of this tutorial have conducted extensive research on developing trajectory data visualization systems and applying them in various visual analytics applications, which involve multiple types of the urban trajectory datasets. We have published many related papers in the top venues of intelligent transportation systems and visualization, including IEEE Transaction on Intelligent Transportation Systems and IEEE Transaction on Visualization and Computer Graphics. We have also developed an open-source trajectory visualization software, TrajAnalytics, supported by U.S. NSF grants. We have acquired a lot of knowledge, experience, and fun.  We hope to share the enthusiasm with the audience as much as possible.

Topics of Interest:

  • Trajectory data representation, processing, indexing, and data queries
  • Trajectory data visualization tasks, challenges, and techniques
  • Developing interactive visualization system
  • Case studies of urban visual analytics with shared source codes and example

Program and Slides:

Welcome and Introduction to Urban Trajectory Data Visualization (PPT)

Urban Data, Human Dynamics, and Applications (PPT)

Trajectory Data Model and Management (PPT)

Trajectory Data Visualization Methods (PPT)

Web-based Visual System Implementation and Conclusion (PPT)

Acknowledgement: USA NSF Grant ACI-1535031,1535081