Challenges and opportunities in exploiting large-scale GPS probe data

HP Laboratories Technical Report

Volumn , Issue 109, 2011, Pages

  Wang, Yin ^a   Zhu, Yanmin ^b   He, Zhaocheng ^c   Yue, Yang ^d   Li, Qingquan ^d  

^a HEWLETT PACKARD LABORATORIES   (United States)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

^c SUN YAT SEN UNIVERSITY   (China)

^d WUHAN UNIVERSITY   (China)

Author keywords

Data analysis; GPS; Map matching; Probe; Transportation

Indexed keywords

GAUSSIANS; GLOBAL POSITIONING SYSTEM RECEIVERS; GPS DATA; GPS RECEIVERS; MAP BUILDING; MAP MATCHING; MAP-MATCHING ALGORITHM; RESEARCH OPPORTUNITIES; SMART PHONES; TRACKING DEVICES; TRAFFIC ANALYSIS; TRAFFIC CONDITIONS; TRAVEL TIME ESTIMATION; UTILITY VEHICLES;

ALGORITHMS; DATA REDUCTION; IMAGE MATCHING; NAVIGATION SYSTEMS; PROBES; TRAFFIC CONGESTION;

GLOBAL POSITIONING SYSTEM;

EID: 79960806713     PISSN: None     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (20)

1. Apple, Google collect user data. http://online.wsj.com/article/ SB10001424052748703983704576277101723453610.html.
2. Open StreetMap. http://www.openstreetmap.org.
3. R. L. Bertini and S. Tantiyanugulchai. Transit buses as traffic probes: Use of geolocation data for empirical evaluation. Transportation Research Record, 1870:35-45, 2004.
4. A. Biem, E. Bouillet, H. Feng, A. Ranganathan, A. Riabov, O. Verscheure, H. N. Koutsopoulos, and C. Moran. IBM infosphere streams for scalable, real-time, intelligent transportation services. In ACM SIGMOD, 2010.
5. S. Blandin, L. El Ghaoui, and A. Bayen. Kernel regression for travel time estimation via convex optimization. In IEEE Conference on Decision and Control, 2009.
6. S. Brakatsoulas, D. Pfoser, R. Salas, and C. Wenk. On map-matching vehicle tracking data. In Proceedings of the 31st international conference on Very large data bases, 2005.
7. L. Cao and J. Krumm. From gps traces to a routable road map. In ACM SIGSPATIAL GIS, 2009.
8. Y. Chen and J. Krumm. Probabilistic modeling of traffic lanes from GPS traces. In ACM SIGSPATIAL GIS, 2010.
9. J. S. Greenfeld. Matching GPS observations to locations on a digital map. In Transportation Research Board 81st Annual Meeting, 2002.
10. J. C. Herrera, D. B. Work, R. Herring, X. J. Ban, Q. Jacobson, and A. M. Bayen. Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment. Transportation Research Part C: Emerging Technologies, 18(4):568-583, Aug. 2010.
11. R. Herring, A. Hofleitner, S. Amin, T. Nasr, A. Khalek, P. Abbeel, and A. Bayen. Using mobile phones to forecast arterial traffic through statistical learning. In Transportation Research Board 89th Annual Meeting, 2010.
12. J. Jariyasunant, B. K. D. Work, R. Sengupta, S. Glaser, and A. Bayen. Mobile transit trip planning with realĺctime data. In Transportation Research Board 89th Annual Meeting, 2010.
13. K. Liu, T. Yamamoto, and T. Morikawa. Feasibility of using taxi dispatch system as probes for collecting traffic information. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 13(1):16-27, 2009.
14. S. Liu, Y. Liu, L. M. Ni, J. F. 0002, and M. Li. Tow ards mobility-based clustering. In ACM KDD, pages 919-928, 2010.
15. Y. Lou, C. Zhang, Y. Zheng, X. Xie, W. Wang, and Y. Huang. Map-matching for low-sampling-rate GPS trajectories. In ACM SIGSPATIAL GIS, 2009.
16. P. Newson and J. Krumm. Hidden markov map matching through noise and sparseness. In ACM SIGSPATIAL GIS, 2009.
17. O. Pink and B. Hummel. A statistical approach to map matching using road network geometry, topology and vehicular motion constraints. In IEEE Conference on Intelligent Transportation Systems, 2008.
18. M. A. Quddus, W. Y. Ochieng, and R. B. Noland. Current map-matching algorithms for transport applications: State-of-the art and future research directions. Transportation Research Part C: Emerging Technologies, 15(5):312-328, 2007. (Pubitemid 47364527)
19. J. Yuan, Y. Zheng, C. Zhang, W. Xie, X. Xie, G. Sun, and Y. Huang. T-drive: driving directions based on taxi trajectories. In ACM SIGSPATIAL GIS, 2010.
20. H. Zhu, Y. Zhu, M. Li, and L. M. Ni. Seer: Metropolitan-scale traffic perception based on lossy sensory data. In IEEE INFOCOM, 2009.