T-watcher: A new visual analytic system for effective traffic surveillance

Proceedings - IEEE International Conference on Mobile Data Management

Volumn 1, Issue , 2013, Pages 127-136

  Pu, Jiansu ^a   Liu, Siyuan ^b   Ding, Ye ^a   Qu, Huamin ^a   Ni, Lionel ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EFFECTIVENESS AND EFFICIENCIES; HISTORICAL INFORMATION; NOVEL VISUALIZATIONS; TEMPORAL ATTRIBUTES; TRAFFIC SITUATIONS; TRAFFIC SURVEILLANCE; VISUAL ANALYTICS SYSTEMS; VISUALIZATION METHOD;

INFORMATION MANAGEMENT; MOTOR TRANSPORTATION; ROADS AND STREETS; STATISTICAL TESTS; TAXICABS; TRAFFIC CONGESTION; VISUALIZATION;

VEHICLES;

EID: 84883507911     PISSN: 15516245     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MDM.2013.23     Document Type: Conference Paper

References (23)

1. G. Andrienko and N. Andrienko. Spatio-temporal aggregation for visual analysis of movements. In IEEE Symposium on Visual Analytics Science and Technology, 2008. VAST '08, pages 51-58, October 2008.
2. G. Andrienko and N. Andrienko. A general framework for using aggregation in visual exploration of movement data. The Cartographic Journal, 47(1):22-40, 2010.
3. G. Andrienko, N. Andrienko, S. Bremm, T. Schreck, T. Von Landesberger, P. Bak, and D. A. Keim. Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns. Computer Graphics Forum, 29(3):913-922, 2010.
4. G. Andrienko, N. Andrienko, J. Dykes, S. I. Fabrikant, and M. Wachowicz. Geovisualization of dynamics, movement and change: key issues and developing approaches in visualization research. Information Visualization, 7(3-4):173-180, 2008.
5. P. Bak, F. Mansmann, H. Janetzko, and D. a. Keim. Spatiotemporal analysis of sensor logs using growth ring maps. IEEE transactions on visualization and computer graphics, 15(6):913-20, 2010.
6. N. Cao, D. Gotz, J. Sun, and H. Qu. DICON: interactive visual analysis of multidimensional clusters. IEEE transactions on visualization and computer graphics, 17(12):2581-90, 2011.
7. R. Chang, G. Wessel, R. Kosara, E. Sauda, and W. Ribarsky. Legible cities: focus-dependent multi-resolution visualization of urban relationships. IEEE transactions on visualization and computer graphics, 13(6):1169-75, 2007.
8. T. Crnovrsanin, C. Muelder, C. Correa, and K.-L. Ma. Proximity-based visualization of movement trace data. pages 11-18, 2009.
9. D. Fisher. Hotmap: looking at geographic attention. IEEE transactions on visualization and computer graphics, 13(6):1184-91, 2007.
10. H. Guo, Z. Wang, B. Yu, H. Zhao, and X. Yuan. Tripvista : Triple perspective visual trajectory analytics and its application on microscopic traffic data at a road intersection. IEEE Symposium on Pacific Visualization, 2010. PacificVis'10, pages 163-170, 2010.
11. C. Hurter, B. Tissoires, and S. Conversy. FromDaDy: spreading aircraft trajectories across views to support iterative queries. IEEE transactions on visualization and computer graphics, 15(6):1017-24, 2009.
12. T. Kapler and W. Wright. GeoTime Information Visualization. Information Visualization, pages 1-8, 2004.
13. H. Liu, Y. Gao, L. Lu, S. Liu, H. Qu, and L. Ni. Visual analysis of route diversity. In IEEE Conference on Visual Analytics Science and Technology, 2011. VAST'11, pages 171-180, 2011.
14. S. Liu, C. Liu, Q. Luo, L. M. Ni, and H. Qu. A visual analytics system for metropolitan transportation. In Proceedings of the 19th SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS 2011), pages 477-480, 2011.
15. S. Liu, C. Liu, Q. Luo, L. M. Ni, and K. Ramayya. Calibrating large scale vehicle trajectory data. Proceedings of the 13th IEEE International Conference on Mobile Data Management (IEEE MDM 2012), pages 222-231, July 2012.
16. S. Liu, Y. Liu, L. Ni, J. Fan, and M. Li. Towards mobility-based clustering. In Proc. of ACM SIGKDD, pages 919-928, 2010.
17. S. Liu, Y. Liu, L. Ni, M. Li, and J. Fan. Detecting crowdedness spot in city transportation. IEEE Transactions on Vehicular Technology, (99):1-1.
18. A. Mehler, Y. Bao, X. Li, Y. Wang, and S. Skiena. Spatial analysis of news sources. IEEE transactions on visualization and computer graphics, 12(5):765-71, 2006.
19. J. Pu, S. Liu, H. Qu, and L. M. Ni. Visual fingerprinting: A new visual mining approach for large-scale spatio-temporal evolving data. Proceedings of the 8th International Conference on Advanced Data Mining and Applications (ADMA 2012), December 2012.
20. N. Willems, H. Van De Wetering, and J. J. Van Wijk. Visualization of vessel movements. Computer Graphics Forum, 28(3):959-966, 2009.
21. J. Wood, J. Dykes, A. Slingsby, and K. Clarke. Interactive visual exploration of a large spatio-temporal dataset: reflections on a geovisualization mashup. IEEE transactions on visualization and computer graphics, 13(6):1176-83, 2007.
22. J. Yuan, Y. Zheng, C. Zhang, W. Xie, X. Xie, G. Sun, and Y. Huang. Tdrive: driving directions based on taxi trajectories. In Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS 2010), pages 99-108. ACM, 2010.
23. J. Zhao, P. Forer, and A. S. Harvey. Activities, ringmaps and geovisualization of large human movement fields. Information Visualization, 7(3-4):198-209, 2008.