Abstract
In disaster situations, a panicking people tend to follow other leading people when they must select the next route from alternative routes. In some cases, such tendency may cause traffic congestion in escape routes, and increases the total amount of escape time. Therefore, in this paper, we propose a traffic congestion model and an information propagation model in emergency situations, and consider how to propagate escape route information through panicking crowds in order to avoid traffic congestion. The selection of pairs of “voice alarms” and “escape gates” is an important factor to change the propagation of escape route information. Thus, we evaluate the effect of the selection of pairs by computer simulation using the traffic congestion and information propagation models. Our simulation results indicate that effective pairs can keep the standard deviation of escape time low.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Asama, H., Hada, Y., Kawabata, K., Noda, I., Takizawa, O., Meguro, J., Ishikawa, K., Hashizume, T., Ohga, T., Hatayama, M., Matsuno, F., Tadokoro, S.: Rescue infrastructure for global information collection. In: Proc. of SICE-ICCAS International Joint Conference 2006, pp. FP4–11 (2006)
Shinoda, K., Noda, I., Kunifuji, S.: Emergency communication support system used by human relationship (in Japanese). In: Proc. of DICOMO 2003, pp. 45–48 (2003)
Muraki, Y., Kanoh, H.: The effectiveness of communication on wide area simulation of disaster evacuation using multiagent model (in Japanese). Technical Report 130, IPSJ-MPS04052018 (2004)
Kyogoku, M., Takeuchi, I.: Incorporating global decision in robocuprescue simulation (in Japanese). Technical Report 23, IPSJ-GI06015004 (2006)
Braun, A., Bodmann, B.E.J., Musse, S.R.: Simulating virtual crowds in emergency situations. In: Proc. of Virtual Reality Software and Technology (VRST), pp. 244–252 (2005)
Koutsoupias, E., Papadimitriou, C.H.: Worst-case equilibria. In: Proceedings of the 16th Annual Symposium on Theoretical Aspects of Computer Science, pp. 387–396 (1999)
Roughgarden, T., Tardos, E.: How bad is selfish routing? In: IEEE Symposium on Foundations of Computer Science, pp. 93–102. IEEE Computer Society Press, Los Alamitos (2000)
Roughgarden, T.: The price of anarchy is independent of the network topology. In: Proceedings of the 34th ACM Symposium on the Theory of Computing, pp. 428–437. ACM Press, New York (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mukai, N., Watanabe, T., Feng, J. (2007). Avoidance of Traffic Delay for Panicking Crowds Subject to Information Propagation. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_135
Download citation
DOI: https://doi.org/10.1007/978-3-540-74827-4_135
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74826-7
Online ISBN: 978-3-540-74827-4
eBook Packages: Computer ScienceComputer Science (R0)