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TOWARDS A FRAMEWORK FOR SIMULATION-BASED EVALUATION OF PERSONAL DECISION SUPPORT SYSTEMS FOR FLOOD EVACUATION

Konstantin Knyazkov, Marina Balakhontceva, Sergey Ivanov

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b21/s8.113View metrics

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Publication details

Title
TOWARDS A FRAMEWORK FOR SIMULATION-BASED EVALUATION OF PERSONAL DECISION SUPPORT SYSTEMS FOR FLOOD EVACUATION
Authors
Konstantin Knyazkov, Marina Balakhontceva, Sergey Ivanov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 14th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
978-619-7105-10-0
Language
en
Publication type
Conference Paper
References30
  1. Crooks, A., Castle, C., & Batty, M. (2008). Key challenges in agent-based modelling for geo-spatial simulation. Computers, Environment and Urban Systems, 32(6), 417-430.

  2. Railsback, S. F., Lytinen, S. L., & Jackson, S. K. (2006). Agent-based simulation platforms: Review and development recommendations. Simulation, 82(9), 609-623.

  3. Crooks, A. T., & Castle, C. J. (2012). The integration of agent-based modelling and geographical information for geospatial simulation. In Agent-based models of geographical systems (pp. 219-251). Springer Netherlands.

  4. Yu, J., & Buyya, R. (2005). A taxonomy of workflow management systems for grid computing. Journal of Grid Computing, 3(3-4), 171-200. Section Geoinformatics

  5. Zia, K., Farrahi, K., Riener, A., Ferscha, A. (2013). An agent-based parallel geo- simulation of urban mobility during city-scale evacuation. In Simulation, 89 (10), pp. 1184-1214.

  6. Simonovic, S. P., & Ahmad, S. (2005). Computer-based model for flood evacuation emergency planning. Natural Hazards, 34(1), 25-51.

  7. Mordvintsev, A., Krzhizhanovskaya, V.V., Lees, M., Sloot, P.M.A., 2012. Simulation of city evacuation coupled to flood dynamics. In: Proceedings of the 6th International Conference on Pedestrian and Evacuation Dynamics, ETH, Zurich, pp. 156–158.

  8. S.R. Jamieson, J. Lhomme, G. Wright, B. Gouldby. A highly efficient 2D flood model with sub-element topography. Proceedings of the Institution of Civil Engineers. Water Management V. 165, November 2012, Issue WM10, p. 581–595.

  9. V.V. Krzhizhanovskaya, N.B. Melnikova, A.M. Chirkin, S.V. Ivanov, A.V. Boukhanovsky, P.M.A. Sloot. Distributed simulation of city inundation by coupled surface and subsurface porous flow for urban flood decision support system. Procedia Computer Science, V. 18, pp. 1046-1056, 20 13.

  10. Treiber, M., Hennecke, A., & Helbing, D. (2000). Congested traffic states in empirical observations and microscopic simulations. Physical Review E, 62(2), 1805.

  11. Han, L. D., Yuan, F., Chin, S. M., & Hwang, H. (2006). Global optimization of emergency evacuation assignments. Interfaces, 36(6), 502-513.

  12. Lewis, D.C. (1985), Transportation Planning for Hurricane Evacuations, ITE Journal, 55(8), pp 31-35.

  13. K.V. Knyazkov, S.V. Kovalchuk, T.N. Tchurov, S.V. Maryin, A.V. Boukhanovsky “CLAVIRE: e-Science Infrastructure for Data- driven Computing”, Journal of Computational Science, vol. 3, n 6, 2012, pp. 504-510.

  14. Boukhanovsky, A. V., & Ivanov, S. V. (2012). Urgent computing for operational storm surge forecasting in Saint-Petersburg. Procedia Computer Science, 9, 1704-1712.

  15. Lämmel, G., & Flötteröd, G. (2009). Towards system optimum: Finding optimal routing strategies in time-dependent networks for large-scale evacuation problems. In KI 2009: Advances in Artificial Intelligence (pp. 532-539). Springer Berlin Heidelberg.

  16. Crooks, A., Castle, C., & Batty, M. (2008). Key challenges in agent-based modelling for geo-spatial simulation. Computers, Environment and Urban Systems, 32(6), 417-430.

  17. Railsback, S. F., Lytinen, S. L., & Jackson, S. K. (2006). Agent-based simulation platforms: Review and development recommendations. Simulation, 82(9), 609-623.

  18. Crooks, A. T., & Castle, C. J. (2012). The integration of agent-based modelling and geographical information for geospatial simulation. In Agent-based models of geographical systems (pp. 219-251). Springer Netherlands.

  19. Yu, J., & Buyya, R. (2005). A taxonomy of workflow management systems for grid computing. Journal of Grid Computing, 3(3-4), 171-200. Section Geoinformatics

  20. Zia, K., Farrahi, K., Riener, A., Ferscha, A. (2013). An agent-based parallel geo- simulation of urban mobility during city-scale evacuation. In Simulation, 89 (10), pp. 1184-1214.

  21. Simonovic, S. P., & Ahmad, S. (2005). Computer-based model for flood evacuation emergency planning. Natural Hazards, 34(1), 25-51.

  22. Mordvintsev, A., Krzhizhanovskaya, V.V., Lees, M., Sloot, P.M.A., 2012. Simulation of city evacuation coupled to flood dynamics. In: Proceedings of the 6th International Conference on Pedestrian and Evacuation Dynamics, ETH, Zurich, pp. 156–158.

  23. S.R. Jamieson, J. Lhomme, G. Wright, B. Gouldby. A highly efficient 2D flood model with sub-element topography. Proceedings of the Institution of Civil Engineers. Water Management V. 165, November 2012, Issue WM10, p. 581–595.

  24. V.V. Krzhizhanovskaya, N.B. Melnikova, A.M. Chirkin, S.V. Ivanov, A.V. Boukhanovsky, P.M.A. Sloot. Distributed simulation of city inundation by coupled surface and subsurface porous flow for urban flood decision support system. Procedia Computer Science, V. 18, pp. 1046-1056, 20 13.

  25. Treiber, M., Hennecke, A., & Helbing, D. (2000). Congested traffic states in empirical observations and microscopic simulations. Physical Review E, 62(2), 1805.

  26. Han, L. D., Yuan, F., Chin, S. M., & Hwang, H. (2006). Global optimization of emergency evacuation assignments. Interfaces, 36(6), 502-513.

  27. Lewis, D.C. (1985), Transportation Planning for Hurricane Evacuations, ITE Journal, 55(8), pp 31-35.

  28. K.V. Knyazkov, S.V. Kovalchuk, T.N. Tchurov, S.V. Maryin, A.V. Boukhanovsky “CLAVIRE: e-Science Infrastructure for Data- driven Computing”, Journal of Computational Science, vol. 3, n 6, 2012, pp. 504-510.

  29. Boukhanovsky, A. V., & Ivanov, S. V. (2012). Urgent computing for operational storm surge forecasting in Saint-Petersburg. Procedia Computer Science, 9, 1704-1712.

  30. Lämmel, G., & Flötteröd, G. (2009). Towards system optimum: Finding optimal routing strategies in time-dependent networks for large-scale evacuation problems. In KI 2009: Advances in Artificial Intelligence (pp. 532-539). Springer Berlin Heidelberg.

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