Comparing Urban Sensing Applications Using Event and Network-Driven Mobile Phone Location Data

Proceedings - IEEE International Conference on Mobile Data Management

Volumn 1, Issue , 2015, Pages 219-226

  Pinelli, Fabio ^a   Lorenzo, Giusy Di ^a   Calabrese, Francesco ^a  

^a IBM RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELLULAR TELEPHONES; INFORMATION MANAGEMENT; LOCATION; MOBILE PHONES; TELECOMMUNICATION NETWORKS; TELEPHONE SETS;

CALL DETAIL RECORDS; LOCATION DATA; MOBILE PHONE LOCATIONS; PEOPLE COUNT; PEOPLE FLOWS; TELECOM OPERATORS; URBAN DYNAMICS; URBAN SENSING;

TELEPHONE CIRCUITS;

EID: 84958173210     PISSN: 15516245     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MDM.2015.33     Document Type: Conference Paper

References (11)

1. T. Bao, H. Cao, Q. Yang, E. Chen, and J. Tian. Mining significant places from cell id trajectories: A geo-grid based approach. In Mobile Data Management (MDM), 2012 IEEE 13th International Conference on, pages 288-293, July 2012.
2. N. Caceres, J. Wideberg, and F. Benitez. Deriving origin destination data from a mobile phone network. Intelligent Transport Systems, IET, 1(1):15-26, 2007.
3. R. Caceres, J. Rowland, C. Small, and S. Urbanek. Exploring the use of urban greenspace through cellular network activity. In Proc. of 2nd Workshop on Pervasive Urban Applications (PURBA), 2012.
4. F. Calabrese, G. Di Lorenzo, L. Liu, and C. Ratti. Estimating origin-destination flows using mobile phone location data. Pervasive Computing, IEEE, 10(4):36-44, april 2011.
5. F. Calabrese, L. Ferrari, and V. D. Blondel. Urban sensing using mobile phone network data: A survey of research. ACM Comput. Surv., 47(2):25:1-25:20, Nov. 2014.
6. G. di lorenzo, M. L. Sbodio, F. Calabrese, M. Berlingerio, R. Nair, and F. Pinelli. Allaboard: Visual exploration of cellphone mobility data to optimise public transport. In Proceedings of the 19th International Conference on Intelligent User Interfaces, IUI '14, pages 335-340, New York, NY, USA, 2014. ACM.
7. M. Gonzalez, C. Hidalgo, and A.-L. Barabasi. Understanding individual human mobility patterns. Nature, 453(7196):779-782, 2008.
8. S. Hoteit, S. Secci, S. Sobolevsky, G. Pujolle, and C. Ratti. Estimating real human trajectories through mobile phone data. In Mobile Data Management (MDM), 2013 IEEE 14th International Conference on, volume 2, pages 148-153, June 2013.
9. A. Janecek, K. A. Hummel, D. Valerio, F. Ricciato, and H. Hlavacs. Cellular data meet vehicular traffic theory: Location area updates and cell transitions for travel time estimation. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing, UbiComp '12, pages 361-370, New York, NY, USA, 2012. ACM.
10. K. Järvelin and J. Kekäläinen. Cumulated gain-based evaluation of ir techniques. ACM Trans. Inf. Syst., 20(4):422-446, Oct. 2002.
11. S. Wang, J. Min, and B. Yi. Location based services for mobiles: Technologies and standards. In IEEE ICC, Beijing, 2008.