Activity identification from GPS trajectories using spatial temporal POIs attractiveness

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks, LBSN 2010 - Held in Conjunction with ACM SIGSPATIAL GIS 2010

Volumn , Issue , 2010, Pages 27-30

  Huang, Lian ^a   Li, Qingquan ^a   Yue, Yang ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Activity identification; GPS trajectories; Time varying attractiveness

Indexed keywords

ACTIVITY IDENTIFICATION; CITY TRAVEL; COMPUTER ASSISTED; EXISTING METHOD; GPS TRACKING; GPS TRAJECTORIES; POINT OF INTEREST; POSITIONING SYSTEM; PROCESSING STEPS; ROAD NETWORK; SPATIAL TEMPORALS; TIME VARYING; TRAJECTORY DATA;

DATA HANDLING; FUNCTIONAL ASSESSMENT; GEOGRAPHIC INFORMATION SYSTEMS; MOTOR TRANSPORTATION; SOCIAL NETWORKING (ONLINE);

TRAJECTORIES;

EID: 78650914830     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1867699.1867704     Document Type: Conference Paper

References (18)

1. Wagner, D. P. Lexington Area Travel Data Collection Test: GPS for Personal Travel Surveys. Final Report. Office of Highway Policy Information and Office of Technology Applications, Battelle Transport Division ( FHWA, Columbus, Ohio, Sept. 1997)
2. Jean Wolf , Randall Guensler , William Bachman, Elimination of the Travel Diary: An Experiment to Derive Trip Purpose From GPS Travel Data, 2001.Transportation Research Board 80th Annual Meeting (January 7-11, 2001).
3. Stefan Schönfelder and Kay W. Axhausen, Exploring the potentials of automatically collected GPS data for travel behaviour analysis- A Swedish data source, 2002,GITechnologien für Verkehr und Logistik, 13, pp.155-179(2002)
4. Kay W. Axhausen, Stefan Schönfelder, J Wolf, M. Oliveira, U Samaga, 80 weeks of GPS-traces: Approaches to enriching the trip information, 2003,83rd Transportation Research Board Meeting(2003).
5. B. Kochan, T. Bellemans, D. Janssens and G. Wets, Dynamic activity-travel data collection using a GPS-enabled personal digital assistant, 2006, Proceedings of the ninth International Conference on AATT, pp.319-324.
6. Nadine Schuessler and Kay W. Axhausen, Processing Raw Data from Global Positioning Systems Without Additional Information, 2009,Transportation Research Record: Journal of Transportation Research Board, Issue 2105, pp.28-36 (2009).DOI= http: //dx.doi.org/10.3141/2105-04.
7. Harvey J. Miller, Tobler's First Law and Spatial Analysis,2004, Annals of the Association of American Geographers, 1467-8306, Volume 94, Issue 2, pp. 284 - 289( 2004) DOI= http://dx.doi.org/ 10.1111/j.1467-8306.2004.09402005.x
8. Harvey J. Miller, Activities in space and time, P. Stopher, K. Button, K. Haynes and D. Hensher (eds.) Handbook of Transport 5: Transport Geography and Spatial Systems, 2004, Pergamon/Elsevier Science (2004).
9. Terry Griffin , Yan Huang , A Decision Tree Classification Model to Automate Trip Purpose Derivation, 2005, CAINE: 44-49(2005)
10. Daniel Ashbrook ,Thad Starner, Using GPS to learn significant locations and predict movement across multiple users, Personal and Ubiquitous Computing, Volume 7, pp.275-286 (2003). DOI= http://dx.doi.org/10.1007/s00779-003-0240-0
11. Wendy Bohte , Kees Maat, Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands, Transportation Research Part C, Volume 17, pp.285-297(2009) DOI= http://dx.doi.org/10.1016/j.trc.2008.11.004
12. Kexin Xie, Ke Deng, Xiaofang Zhou. From Trajectories to Activities: A Spatio-Temporal Join Approach. 2009. In Proceedings of the 2009 International Workshop on Location Based Social Networks ( Seattle, Washington, The USA, 2009). CHI '00. ACM, New York, NY, 25-32 DOI = http://doi.acm.org/10.1145/ 1629890.1629897
13. Lian Huang, Qingquan Li, Automatic activity identification from raw GPS vehicle tracking data, 2010, Proceedings of the Canadian Geomatics Conference.(2010)
14. Donald J. Patterson, Lin Liao, Dieter Fox, and Kautz, 2003, Inferring High -Level Behaviour from Low-Level Sensors, Ubiquitous Computing, 5th International Conference (Seattle, WA, USA, October 12-15,2003) DOI=http://dx.doi.org/ 10.1007/978-3-540-39653-6-6
15. Lin Liao, Dieter Fox and Henry Kautz, Location-Based Activity Recognition using Relational Markov Networks, Proceedings of the International Joint Conference on Artificial Intelligence (2005)
16. Christoph Teller, Thomas Reutterer, The evolving concept of retail attractiveness: What makes retail agglomerations attractive when customers shop at them?, Journal of Retailing and Consumer Services 15 (2008) 127-143, DOI=http://dx.doi.org/10.1016/j.jretconser.2007.03.003
17. Dick Ettema, Fabian Bastin, John Polak, Olu Ashiru. 2007. Modelling the joint choice of activity timing and duration. Transportation Research Part A. 41 (2007) 827-841. DOI=http://dx.doi.org/10.1016/j.tra.2007.03.001
18. James, Jixian Wang, Timing Utility of daily Activities and Its Impact on Travel, 1996, Transportation Research part A, Volume. 30, Issue. 3, pp. 189-206(1996)