Real-Time Evacuation Path: Unexpectedly Increased Numbers of Evacuees in Source Nodes

Abstract:

When catastrophic events occurred, evacuation is important in the urban areas. The uncertainty of the incident should allow the system to be changed based on the new information. If the varying capacity and transport time of road network and priority evacuation areas are known, by CCRP (Capacity-Constrained Route Planning) evacuation strategies can be obtained. The paper highlights the need to evacuate a source point owing to unexpected increased population, on the basis of the original strategy, and the model can produce real-time evacuation policy information and guide the population to evacuate as soon as possible.

• Periodical: Advanced Materials Research (Volumes 779-780)
• Pages: 1060-1065
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.779-780.1060
• Online since: September 2013
• Authors: Ji Ping Zhu, Yun Long Wang, Xiao Xiao Dong, Chao Song
• Keywords: Edge Weight, Evacuation Strategy, Network-Flow, Source Node

References

[1] Shekhar, S., K. Yang, V.M.V. Gunturi, et al., Experiences with evacuation route planning algorithms. International Journal of Geographical Information Science. Vol. 26 (2012), No. 12, p.2253.

DOI: 10.1080/13658816.2012.719624

[2] Armenakis, C. and N. Nirupama, Prioritization of disaster risk in a community using GIS. Natural Hazards. Vol. 66 (2013), No. 1, p.15.

DOI: 10.1007/s11069-012-0167-8

[3] Saeed Osman, M.F. and B. Ram. Evacuation route scheduling using discrete time-based Capacity-Constrained model. in 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2011). (Singapore, December 6-9, 2011). (2011).

DOI: 10.1109/ieem.2011.6117899

[4] Xiongfei, Z., S. Qixin, H. Rachel, et al. Network Emergency Evacuation Modeling: A Literature Review. in Optoelectronics and Image Processing (ICOIP), 2010 International Conference on. (Haiko, Hainan, China, November 11-12, 2010). Vol. 2 (2010).

DOI: 10.1109/icoip.2010.185

[5] Aronson, J.E., A survey of dynamic network flows. Annals of Operations Research. Vol. 20 (1989), No. 1, p.1.

[6] Bhushan, A., N.L. Sarda, and P.V.R. Reddy. Evacuation Planning of Large Buildings Using Ladders. in Database and Expert Systems Applications. Proceedings of the 23rd International Conference, DEXA 2012. (Vienna, Austria, September 3-6, 2012). (2012).

DOI: 10.1007/978-3-642-32600-4_7

[7] Nabaa, C.B.A.D.M., D. Olivier, and P. Mallet, MODELING OF THE VULNERABILITY RELATED TO THE DYNAMIC ROAD TRAFFIC. (2008).

[8] Lino, P., G. Maione, and B. Maione. Modeling and simulation of crowd egress dynamics in a discrete event environment. in Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE. (Saint Petersburg, Russia, July 8-10, 2009). (2009).

DOI: 10.1109/cca.2009.5281015

[9] Sun, Y., A reliability-based approach of fastest routes planning in dynamic traffic network under emergency management situation. International Journal of Computational Intelligence Systems. Vol. 4 (2011), No. 6, p.1224.

DOI: 10.2991/ijcis.2011.4.6.14

[10] Zheng, X. and M. Liu, Forecasting model for pedestrian distribution under emergency evacuation. Reliability Engineering & System Safety. Vol. 95 (2010), No. 11, p.1186.

DOI: 10.1016/j.ress.2010.07.005

[11] Pel, A.J., M.C. Bliemer, and S.P. Hoogendoorn. EVAQ: A new analytical model for voluntary and mandatory evacuation strategies on time-varying networks. in Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on. (Beijing, China, October 12-15, 2008). (2008).

DOI: 10.1109/itsc.2008.4732655

[12] Tabirca, T., K.N. Brown, and C.J. Sreenan. A dynamic model for fire emergency evacuation based on wireless sensor networks. in Parallel and Distributed Computing, 2009. ISPDC'09. Eighth International Symposium on. (Lisbon, Portugal, July 1-3, 2009). (2009).

DOI: 10.1109/ispdc.2009.33

[13] Lu, Q., B. George, and S. Shekhar, Capacity constrained routing algorithms for evacuation planning: A summary of results, in Advances in spatial and temporal databases. 2005, Springer. p.291.

DOI: 10.1007/11535331_17

[14] Kim, S., B. George, and S. Shekhar. Evacuation route planning: scalable heuristics. in Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems. (Seattle, America, November7-9, 2007). (2007), p.20.

DOI: 10.1145/1341012.1341039

[15] Lu, Q., Y. Huang, and S. Shekhar, Evacuation planning: A capacity constrained routing approach, in Intelligence and Security Informatics. 2003, Springer. p.111.

DOI: 10.1007/3-540-44853-5_9