Data collection for modeling and simulation: Case study at the university of milan-bicocca

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7495 LNCS, Issue , 2012, Pages 699-708

  Federici, Mizar Luca ^a   Gorrini, Andrea ^b   Manenti, Lorenza ^b   Vizzari, Giuseppe ^b  

^a CROWDYXITY srl Crowd Dynamics and Complexity   (Italy)

^b UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

Crowd; Groups; Pedestrian Dynamics; Proxemics

Indexed keywords

CELLULAR AUTOMATA; INDUSTRIAL RESEARCH; ROBOTS;

CROWD; DEGREE OF ALIGNMENTS; GROUPS; MODEL AND SIMULATION; PEDESTRIAN DYNAMICS; PEDESTRIAN FLOW; PROXEMICS; SPATIAL ARRANGEMENTS;

DYNAMICS;

EID: 84867492792     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33350-7_72     Document Type: Conference Paper

References (18)

1. Le Bon, G.: The crowd: A study of the popular mind. Macmillian (1897)
2. Reicher, S.: The psychology of crowd dynamics. Blackwell handbook of social psychology, pp. 182-208. Group processes (2001)
3. Turner, J.: Towards a cognitive redefinition of the social group. Cahiers de Psychologie Cognitive/Current Psychology of Cognition (1981)
4. Challenger, R., Clegg, C.W., Robinson M.: Understanding Crowd Behaviours, vol. 1. Cabinet Office (2009)
5. Hall, E.: The Hidden Dimension. Bodley Head (1969)
6. Aiello, J.: Human spatial behavior. Handbook of Environmental Psychology 1, 389-505 (1987)
7. Chattaraj, U., Seyfried, A., Chakroborty, P.: Comparison of pedestrian fundamental diagram across cultures. Arxiv preprint arXiv:0903.0149 (2009)
8. Baum, A., Paulus, P.: Crowding. In: Handbook of Environmental Psychology, vol. 1, pp. 533-570 (1987)
9. Costa, M.: Interpersonal distances in group walking. Journal of Nonverbal Behavior 34(1), 15-26 (2010)
10. Moussaïd, M., Perozo, N., Garnier, S., Helbing, D., Theraulaz, G.: The walking behaviour of pedestrian social groups and its impact on crowd dynamics. PLoS ONE 5 (April 2010)
11. Peacock, R., Kuligowski, E., Averill, J.: Pedestrian and evacuation dynamics. Springer (2011)
12. Kachroo, P., Al-Nasur, S., Wadoo, S., Shende, A.: Pedestrian dynamics: Feedback control of crowd evacuation. Springer (2008)
13. Bandini, S., Manzoni, S., Vizzari, G.: Situated cellular agents: A model to simulate crowding dynamics. IEICE Transactions on Information and Systems e Series D 87(3), 669-676 (2004)
14. Was, J.: Crowd Dynamics Modeling in the Light of Proxemic Theories. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010, Part II. LNCS, vol. 6114, pp. 683-688. Springer, Heidelberg (2010)
15. Milazzo, II., Rouphail, N., Hummer, J., Allen, D.: Transportation research board. National Research Council,Washington, DC 113 (2000)
16. Katsuhiro, N., Schadschneider, A., Kirchner, A.: CA approach to collective phenomena in pedestrian dynamics. In: International Conference on Cellular Automata for Research and Industry, pp. 239-248 (2002)
17. Bandini, S., Rubagotti, F., Vizzari, G., Shimura, K.: An Agent Model of Pedestrian and Group Dynamics: Experiments on Group Cohesion. In: Pirrone, R., Sorbello, F. (eds.) AI*IA 2011. LNCS, vol. 6934, pp. 104-116. Springer, Heidelberg (2011)
18. Diogenes,M., Greene-Roesel, R., Arnold, L., Ragland, D.: Pedestrian counting methods at intersections: a comparative study. Transportation Research Record: Journal of the Transportation Research Board 2002(-1), 26-30 (2007)