Capturing crowd dynamics at large scale events using participatory GPS-localization

IEEE ISSNIP 2014 - 2014 IEEE 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Conference Proceedings

Volumn , Issue , 2014, Pages

  Blanke, Ulf ^a   Tröster, Gerhard ^a   Franke, Tobias ^b   Lukowicz, Paul ^b  

^a ETH ZURICH   (Switzerland)

^b GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; INTELLIGENT CONTROL; SENSOR NETWORKS; SMART SENSORS;

CONTROLLED PROCESS; DATA COLLECTION; LARGE SCALE EVENTS; LARGE-SCALE DATASET; LOCATION POINTS; LOCATION UPDATE; PLANNING PHASE; PROGRAM PLANNING;

DYNAMICS;

EID: 84903726738     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSNIP.2014.6827652     Document Type: Conference Paper

References (12)

1. D. Helbing, A. Johansson, and H. Z. Al-Abideen. Dynamics of crowd disasters: An empirical study. Physical review E, 75(4):046109, 2007.
2. A. Johansson, D. Helbing, H. Z. Al-Abideen, and S. Al-Bosta. From crowd dynamics to crowd safety: A video-based analysis. Advances in Complex Systems, 11(04):497-527, 2008.
3. N. Koshak and A. Fouda. Analyzing pedestrian movement in mataf using gps and gis to support space redesign. In The 9th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, 2008.
4. B. Krausz and C. Bauckhage. Loveparade 2010: Automatic video analysis of a crowd disaster. Computer Vision and Image Understanding, 116(3):307-319, 2012.
5. D. Orellana and M. Wachowicz. Exploring patterns of movement suspension in pedestrian mobility. Geographical Analysis, 43(3):241-260, 2011.
6. R. Pettersson and M. Zillinger. Time and space in event behaviour: tracking visitors by gps. Tourism Geographies, 13(1):1-20, 2011.
7. H. Stange, T. Liebig, D. Hecker, G. Andrienko, and N. Andrienko. Analytical workflow of monitoring human mobility in big event settings using bluetooth. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, pages 51-58. ACM, 2011.
8. A. Stopczynski, J. E. Larsen, S. Lehmann, L. Dynowski, and M. Fuentes. Participatory bluetooth sensing: A method for acquiring spatio-temporal data about participant mobility and interactions at large scale events. In International Workshop on the Impact of Human Mobility in Pervasive Systems and Applications 2013, San Diego (18 March 2013), 2013.
9. M. Versichele, T. Neutens, M. Delafontaine, and N. Van de Weghe. The use of bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the ghent festivities. Applied Geography, 32(2):208-220, 2012.
10. M. Wirz, T. Franke, E. Mitleton-Kelly, D. Roggen, P. Lukowicz, and G. Tröster. Coenosense: A framework for real-time detection and visualization of collective behaviors in human crowds by tracking mobile devices. In Proceedings of European Conference on Complex Systems. Springer, 2012.
11. M. Wirz, T. Franke, D. Roggen, E. Mitleton-Kelly, P. Lukowicz, and G. Tröster. Probing crowd density through smartphones in city-scale mass gatherings. EPJ Data Science, 2(1):5, 2013.
12. M. Wirz, D. Roggen, and G. Troster. User acceptance study of a mobile system for assistance during emergency situations at large-scale events. In Human-Centric Computing (HumanCom), 2010 3rd International Conference on, pages 1-6. IEEE, 2010.