Large-scale taxi O/D visual analytics for understanding metropolitan human movement patterns

Journal of Visualization

Volumn 18, Issue 2, 2015, Pages 185-200

  Jiang, Xiaorui ^a   Zheng, Chunyi ^a   Tian, Ya ^a   Liang, Ronghua ^a  

^a ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Human movement patterns; Spatio temporal visualization; Taxi O D data; Visual analytics

Indexed keywords

EID: 84939949465     PISSN: 13438875     EISSN: 18758975     Source Type: Journal    
DOI: 10.1007/s12650-015-0278-x     Document Type: Article

References (39)

1. Andrienko G, Andrienko N (2008) Spatio-temporal aggregation for visual analysis of movements. In: IEEE Symposium on Visual Analytics Science and Technology, pp 51–58
2. Antonin G (1984) R-trees: a dynamic index structure for spatial searching. In: ACM SIGMOD International Conference on Management of Data, pp 47–57
3. Boyandin I, Bertini E, Bak P, Lalanne D (2011) Flowstrates: an approach for visual exploration of temporal origin-destination data. Comput Graph Forum 30(3):971–980
4. Boyandin I, Bertini E, Lalanne D (2012) A qualitative study on the exploration of temporal changes in flow maps with animation and small-multiples. Comput Graph Forum 31(3):1005–1014
5. Byron L, Wattenberg M (2008) Stacked graphs–geometry and aesthetics. IEEE Trans Vis Comput Gr 14(6):1245–1252
6. Chen C, Zhang D, Zhou Z, Li N, Atmaca T, Li S (2009) B-Planner: night bus route planning using large-scale taxi GPS traces. In: IEEE International Conference on Pervasive Computing and Communications, pp 225–233
7. de Berg M, Cheong O, van Kreveld M, Overmars M (2000) Computational geometry: algorithms and applications 2nd (ed.). Springer, New York
8. Dodge S, Weibel R, Lautenschütz AK (2008) Towards a taxonomy of movement patterns. Inform Visual 7(3–4):240–252
9. du Mouza C, Rigaux P (2005) Mobility Patterns. GeoInformatica, 9(4): 297-319
10. Ferreira N, Poco J, Vo HT, Freire J, Silva CT (2013) Visual exploration of big spatio-temporal urban data: a study of New York city taxi trips. IEEE Trans Vis Comput Gr 19(12):2149–2158
11. Gao Y, Xu P, Lu L, Liu H, Liu S, Qu H (2012) Visualizing of taxis drivers’ income and mobility intelligence. In: International Symposium on Visual Computing, pp 275–284
12. González MC, Hidalgo CA, Barabási AL (2008) Understanding individual human mobility patterns. Nature 453:779–782
13. Guo H, Wang Z, Yu B, Zhao H, Yuan X (2011a) TripVista: triple perspective visual trajectory analytics and its application on microscopic traffic data at a road intersection. In: Pacific Visualization Symposium, pp 163–170
14. Guo H, Wang Z, Yuan X, Liu H, Zhang H (2011b) Discovery exhibition: visual analysis on traffic trajectory data. Available at: http://www.discoveryexhibition.org/uploads/Main/2011Wang.pdf
15. He X, Sun G, Gao J, Zheng C, Liang (2014) Visual analytics of road traffic with large scale taxi GPS data. Journal of Computer-Aided Design and Computer Graphics, in press (in Chinese)
16. Inselberg A (1985) The plane with parallel coordinates. Vis Comput 1(2):69–91
17. Itoh M, Yokoyama D, Toyoda M, Tomita Y (2013) Visualization of passenger flows on metro. Available at: http://www.tkl.iis.u-tokyo.ac.jp/top/modules/newdb/extract/1303/data/VAST2013_1.pdf
18. Krüger R, Thom D, Wörner M, Bosch H, Ertl T (2013) TrajectoryLenses-A set-based filtering and exploration technique for long-term trajectory. Comput Graph Forum 32(3–4):451–460
19. Lin M, Hsu WJ (2014) Mining GPS data for mobility patterns: a survey. Pervasive Mob Comput 12:1–16
20. Lins L, Klosowski JT, Scheidegger C (2013) Nanocubes for real-time exploration of spatiotemporal datasets. IEEE Trans Vis Comput Gr 19(12):2456–2465
21. Liu H, Gao Y, Lu L, Liu S, Qu H, Ni LM (2011) Visual analysis of route diversity. In: IEEE Symposium on Visual Analytics Science and Technology, pp 171–180
22. Lou Y, Zhang C, Zheng Y, Xie X, Wang W, Huang Y (2009) Map-matching for low-sampling-rate GPS trajectories. In: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp 352–361
23. Pu J, Qu H, Ni M (2012) Survey on visualization of trajectory data. J Comput Aided Design Comput Graphics 24:1273–1282 (in Chinese)
24. Pu J, Liu S, Ding Y, Qu H, Ni L (2013) T-Watcher: A new visual analytic system for effective traffic surveillance. In: IEEE International Conference on Mobile Data Management, pp 127–136
25. Samet H (2006) Foundations of multidimensional and metric data structures. Morgan Kaufmann
26. Sun G, Wu Y, Liang R, Liu S (2013a) A survey of visual analytics techniques and applications: state-of-the-art research and future challenges. J Comput Sci Tech 28(5):852–867
27. Shang J, Zheng Y, Tong W, Chang E (2014) Inferring gas consumption and pollution emission of vehicles throughout a city. In: SIGKDD Conference on Knowledge Discovery and Data Mining, pp 1027–1036
28. Sun G, Liang R, Wu F, Qu H (2013b) A web-based visual analytics system for real estate data. Sci China Inform Sci 56(5):1–13
29. Sun G., Liu Y., Wu W., Liang R., Qu H (2014). Embedding temporal display into maps for occlusion-free visualization of spatio-temporal data. In: IEEE Pacific Visualization Symposium, pp 185–192
30. Tominski C, Schumann H, Andrienko G, Andrienko N (2012) Stacking-based visualization of trajectory attribute data. IEEE Trans Vis Comput Gr 18(12):2565–2574
31. Vazquez-Prokopec GM, Bisanzio D, Stoddard ST, Paz-Soldan V, Morrison AC, Elder JP, Ramirez-Paredes J, Halsey ES, Kochel TJ, Scott TW, Kitron U (2013) Using GPS technology to quantify human mobility, dynamic contacts and infectious disease dynamics in a resource-poor urban environment. PLoS ONE 8(4):e58802–e58810
32. Wang D, Dino P, Song C, Fosca G (2011) Human mobility, social tie, and link prediction. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 1100–1108
33. Wang Z, Lu M, Yuan X, Zhang J, van de Wetering H (2013) Visual traffic jam analysis based on trajectory data. IEEE Trans Vis Comput Gr 19(12):2158–2169
34. Yadav K, Kumar A, Bharati A, Naik V (2014) Characterizing mobility patterns of people in developing countries using their mobile phone data. In: International Conference on Communication Systems and Networks, pp 1–8
35. Yang Y, Zheng Y, Chen Y, Feng J, Xie X (2009) Mining individual life pattern based on location history. In: IEEE International Conference on Mobile Data Management, pp 1–10
36. Zeng W, Fu CW, Müller AS, Qu H (2013) Visualizing interchange patterns in massive movement data. Comput Graph Forum 32(3):271–280
37. Zhu Y, Wu Y, Li B (2014) Trajectory improves data delivery in urban vehicular networks. IEEE Trans Paral Distr System 2(4):1089–1100
38. Ziegler H, Jenny M, Gruse T, Keim DA (2010) Visual market sector analysis for financial time series data. In: IEEE Symposium on Visual Analytics Science and Technology, pp 83–89
39. Zignani M, Gaito S (2010) Extracting human mobility patterns from GPS-based traces. In: Wireless Days 2010 IFIP, pp 1–5