Transportation mode detection using mobile phones and GIS information

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Volumn , Issue , 2011, Pages 54-63

  Stenneth, Leon ^a   Wolfson, Ouri ^a   Yu, Philip S ^a   Xu, Bo ^a  

^a 1120 Science and Engineering Offices   (United States)

Author keywords

context awareness; GIS; GPS; mobile phones; pattern recognition

Indexed keywords

A-TRAIN; BUS STOP; CLASSIFICATION SYSTEM; CONTEXT- AWARENESS; INFERENCE MODELS; MOBILE USERS; MULTI LAYER PERCEPTRON; RANDOM FORESTS; REAL TIME; TRANSPORTATION MODE; TRANSPORTATION NETWORK;

BUS TRANSPORTATION; BUSES; DECISION TREES; GEOGRAPHIC INFORMATION SYSTEMS; GLOBAL POSITIONING SYSTEM; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; INFORMATION SYSTEMS; MOBILE DEVICES; MOBILE PHONES; PATTERN RECOGNITION; TELEPHONE SETS;

TRANSPORTATION;

EID: 84856432884     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2093973.2093982     Document Type: Conference Paper

References (37)

1. D. Patterson, L. Liao, D. Fox, and H. Kautz, Inferring High- Level Behavior from Low-Level Sensors, ACM UBICOMP 2003.
2. Y. Zheng, Q. Li, Y. Chen, X. Xie, and W. Ma, Understanding mobility based on GPS data. In Ubiquitous Computing, ACM New York, 2008, pp. 312-321.
3. L. Liao, D. Patterson, D. Fox, and H. Kautz. Learning and inferring transportation routines. Artif. Intell. 171, 2007.
4. S. Reddy, M. Mun, J. Burke, D. Estrin, M Hansen, and M. Srivastava. Using Mobile Phones to Determine Transportation Modes. ACM Transactions on Sensor Networks, Vol. 6, No. 2, Article 13, 2010.
5. E. Miluzzo, N. Lane, K. Fodor, R. Peterson, H. Lu, M. Musolesi, S. Eisenman, X. Zheng, and A. Campbell. Sensing meets mobile social networks: The design implementation and evaluation of the CenceMe application. 6th ACM Conference on Embedded Network Sensor Systems, 2008.
6. J. Liu, O. Wolfson, H. Yin. Extracting Semantic Location from Outdoor Positioning Systems. Int. Workshop on Managing Context Information and Semantics in Mobile Environments (MCISME), 2006.
7. H. Pfeifer A long term fix with GPS and GARtrip http://www.gartrip.de/ long.htm
8. S. Jiang, "Finding Ways out of Congestion for the Chicago Loop - A Micro-simulation Approach".
9. K. Ahmed (1999) Modeling Drivers' Acceleration and Lane Changing Behavior. MIT Ph.D. Dissertation.
10. J. Ko, R. Guensler, M. Hunter. Analysis of effects of driver/vehicle characteristics on acceleration noise using GPS-equipped vehicles. Transportation Research Part F 13 (2010), 21-31.
11. David Bernstein and Alain Kornhauser. An introduction to map matching for personal navigation assistants. Technical report, New Jersey TIDE Center, New Jersey Institute of Technology, Newark, New Jersey, 1996.
12. Murakami, E., Wagner, D. P., Neumeister, D. M. (1997) "Using Global Positioning Systems and Personal Digital Assistants for Personal Travel Surveys in the United States," International Conference on Transport Survey Quality and Innovation, Grainau, Germany. July 2004.
13. E. Murakami, and D. P. Wagner, Can using global positioning system (GPS) improve trip reporting? Transportation Research Part C, 7(2/3):149-165, 1999. (Pubitemid 29524565)
14. P. Gonzalez, J. Weinstein, S. Barbeau, M. Labrador, P. Winters, N. Labib, R. Perez, Automating mode detection using neural networks and assisted GPS data collected using GPS enabled mobile phones. 15th World Congress on Intelligent Transportation Systems, 2008.
15. Y. Zheng, L. Liu, L. Wang, X. Xie. Learning Transportation Mode from Raw GPS Data for Geographic applications on the Web. WWW 2008
16. L. Liao, D. Fox, H. Kautz. Learning and Inferring Transportation Routines. AAAI 2004
17. Ermes, M., Parkka, J., Mantyjarvi, J., Korhonen I., Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions, IEEE Transactions on Information Technology in Biomedicine 12, 1(2006), 20-26.
18. Parkka, J., Ermes, M., Korpipaa P., Mantyjarvi J., Peltola, J., Activity classification using realistic data from wearable sensors, IEEE Transactions on Information Technology in Biomedicine 10, 1 (2006), 119-128. (Pubitemid 43092325)
19. T. Sohn, A. Varshaasky, A. LaMarca, M. Chen, T. Choudhury, I. Smith, S. Consolvo, J. Hightower, W. Griswold, E. Lara, Mobility Detection Using Every day GSM Traces. ACM UBICOMP 2006
20. J. Hightower, S. Consolvo, A. LaMarca, I. Smith, J. Hughes. Learning and Recognizing the Places We Go. ACM Conference on Ubiquitous Computing, 2005.
21. Walk Jog Run. http://www.walkjogrun.net/
22. Mountain Bike. http://www.mtbroutes.co.uk/northyorkmoors/default.aspx
23. SportsDo. http://sportsdo.net/Activity/ActivityBlog.aspx
24. Wikiwalki. http://www.wikiwalki.com
25. Chicago Transit Authority http://www.transitchicago.com/about/facts.aspx
26. Chicago Transit Authority Bus Tracker http://www.ctabustracker.com/
27. Google Maps http://googlemaps.com/
28. http://www.transitchicago.com/assets/1/maps/ctatrainmap-2 010jan.pdf
29. L. Bao, S.S Intille. Activity Recognition from User Annotated Acceleration Data. Pervasive Computing, 2004.
30. J. Lester et al. A Practical Approach to Recognizing Physical Activities. Pervasive Computing, 2006
31. I. Guyon, A. Elisseef, An Introduction to Variable and Feature Selection. Journal of Machine Learning Research 3 (2003) 1157-1182, 2003
32. I. Witten, E. Frank, Data Mining: Practical machine learning tools and techniques. Morgan and Kaufmann, San Francisco, 2005
33. R. Duda, P. Hart, D. Stork, Pattern Classification. Wiley, New York, 2000
34. http://developer.yahoo.com/geo/placefinder/
35. L. Stenneth, P. S. Yu, O. Wolfson, Mobile Systems Location Privacy "MobiPriv" a Robust K-Anonymous System. IEEE WiMob, 2010
36. L. Stenneth, P. S. Yu. Global Privacy and Transportation Mode Homogeneity Anonymization in Location Based Mobile Systems with Continuous Queries. 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2010
37. Y. Yang, T. Toida, C. Hong. Transportation prediction using build-in triaxial accelerometer in cell phone. International Conference on Business Information, 2010.