VIPTRA: Visualization and Interactive Processing on Big Trajectory Data

Xin Ding, Rui Chen, Lu Chen, Yunjun Gao, Christian Søndergaard Jensen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Massive trajectory data is being collected and used widely in many applications such as transportation, location-based services, and urban computing. As a result, abundant methods and systems have been proposed for managing and processing trajectory data. However, it remains difficult for users to interact well with data management and processing, due to the lack of efficient data processing methods and effective visualization techniques for big trajectory data. In this demonstration, we present a new framework, VIPTRA, to process big trajectory data visually and interactively. VIPTRA builds upon UlTraMan, a distributed in-memory system for big trajectory data, and thus, it takes advantage of its capability of high performance. The demonstration shows the efficiency of data processing and user-friendly visualization and interaction techniques provided in VIPTRA, via several scenarios of visual analysis and trajectory editing tasks.
Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018
Number of pages2
PublisherIEEE
Publication date13 Jul 2018
Pages290-291
ISBN (Electronic)978-1-5386-4133-0
DOIs
Publication statusPublished - 13 Jul 2018
Event19th IEEE International Conference on Mobile Data Management, MDM 2018 - Aalborg, Denmark
Duration: 25 Jun 201828 Jun 2018

Conference

Conference19th IEEE International Conference on Mobile Data Management, MDM 2018
CountryDenmark
CityAalborg
Period25/06/201828/06/2018
SponsorAalborg University, Center for Data-Intensive Systems (DAISY), Aalborg University, IEEE, IEEE Technical Committee on Data Engineering (TCDE), Otto Monsted Foundation

Fingerprint

Visualization
Trajectories
Processing
Demonstrations
Location based services
Information management
Data storage equipment

Keywords

  • Trajectory data
  • visualization

Cite this

Ding, X., Chen, R., Chen, L., Gao, Y., & Jensen, C. S. (2018). VIPTRA: Visualization and Interactive Processing on Big Trajectory Data. In Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018 (pp. 290-291). IEEE. https://doi.org/10.1109/MDM.2018.00055
Ding, Xin ; Chen, Rui ; Chen, Lu ; Gao, Yunjun ; Jensen, Christian Søndergaard. / VIPTRA : Visualization and Interactive Processing on Big Trajectory Data. Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018. IEEE, 2018. pp. 290-291
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Ding, X, Chen, R, Chen, L, Gao, Y & Jensen, CS 2018, VIPTRA: Visualization and Interactive Processing on Big Trajectory Data. in Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018. IEEE, pp. 290-291, 19th IEEE International Conference on Mobile Data Management, MDM 2018, Aalborg, Denmark, 25/06/2018. https://doi.org/10.1109/MDM.2018.00055

VIPTRA : Visualization and Interactive Processing on Big Trajectory Data. / Ding, Xin; Chen, Rui; Chen, Lu; Gao, Yunjun; Jensen, Christian Søndergaard.

Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018. IEEE, 2018. p. 290-291.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Ding X, Chen R, Chen L, Gao Y, Jensen CS. VIPTRA: Visualization and Interactive Processing on Big Trajectory Data. In Proceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018. IEEE. 2018. p. 290-291 https://doi.org/10.1109/MDM.2018.00055