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Methodologies and Tools for Evacuation Planning

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Intelligent Transportation and Evacuation Planning
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Abstract

Evacuation planning involves an iterative process to identify the best routes and to estimate the time required to evacuate the areas at risk. Methods typically used for evacuation planning includes analytical models to express the route choice and traffic propagation using mathematical equations and simulation-based models to describe the traffic conditions and pattern based on a set of rules. This chapter outlines the evacuation planning process and introduces the analytical representation of the evacuation models. A state-of-the-art review for some analytical and simulation models and methodologies for evacuation planning is also presented in this chapter.

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References

  1. Blanchard BS (1998) Systems engineering management. Wiley Interscience, NJ

    Google Scholar 

  2. Goldblatt R (2004) Evacuation planning: a key part in emergency planning. In: Proceeding of 83rd annual meeting transportation research board

    Google Scholar 

  3. Hamacher HW, Tjandra SA (2002) Mathematical modeling of evacuation problems: a state of the art. In: Sharma SD, Schrekenberg M (eds) Pedestrian and evacuation dynamics. Springer, Heidelberg

    Google Scholar 

  4. Greenshields BD (1935) A study of traffic capacity. In: Highway research board proceedings, vol 14, pp 448–477

    Google Scholar 

  5. Naser A (2008) An integrated methodology for dynamic routing optimization and road traffic simulation: application in evacuation planning. Dissertation, University of Houston

    Google Scholar 

  6. Ahuja R, Magnanti T, Orlin J (1993) Network flows. Prentice Hall, NJ

    MATH  Google Scholar 

  7. Fahy RF (1995) EXIT89—an evacuation for high-rise buildings—recent enhancements and example applications. In: International conference of fire research and engineering. pp 332–337

    Google Scholar 

  8. Yamada T (1996) A network approach to a city emergency evacuation planning. Int J Syst Sci 27:931–936

    Article  MATH  Google Scholar 

  9. Cova TJ, Johnson PJ (2003) A network flow model for lane-based evacuation routing. Transport Res 37:579–604

    Article  Google Scholar 

  10. Ford LR, Fulkerson DR (1958) Constructing maximal dynamic flows from static flows. Oper Res 6:419–433

    Article  MathSciNet  Google Scholar 

  11. Minieka E (1973) Maximal lexicographic and dynamic network flows. Oper Res 21:517–527

    Article  MathSciNet  MATH  Google Scholar 

  12. Wilkinson WL (1971) An algorithm for universal maximal dynamic flows in a network. Oper Res 19:1602–1612

    Article  MathSciNet  MATH  Google Scholar 

  13. Hoppe B, Tardos E (1994) Polynomial time algorithms for some evacuation problems. In: Proceedings of 5th annual ACM-SIAM symposium on discrete algorithms. pp 433–441

    Google Scholar 

  14. Burkard RE, Dlaska K, Klinz B (1993) The quickest flow problem. ZOR Meth Model Oper Res 37:31–58

    MathSciNet  MATH  Google Scholar 

  15. Chalmet LG, Francis RL, Saunders PB (1982) Network models for building evacuation. Manag Sci 28:86–105

    Article  Google Scholar 

  16. Jarvis JJ, Ratliff HD (1982) Some equivalent objectives for dynamic network flow problems. Manag Sci 28:106–109

    Article  MathSciNet  MATH  Google Scholar 

  17. Hamacher HW, Tufekci S (1987) On the use of lexicographic min cost flows in evacuation modeling. Nav Res Logist 34:487–503

    Article  MathSciNet  MATH  Google Scholar 

  18. Wolfram S (1986) Theory and applications of cellular automata: including selected papers 1983–1986. World Scientific, NJ

    MATH  Google Scholar 

  19. Nagel K, Schreckenberg M (1992) A cellular automaton model for freeway traffic. J Phy I (France) 2:2221–2229

    Article  Google Scholar 

  20. Klupfel H, Meyer-Konig T, Wahle J, Shreckenberg M (2000) Microscopic simulation of evacuation process on passenger ships. In: Fourth international conference on cellular automata for research and industry, October, Karlsruhe, Germany

    Google Scholar 

  21. Farahmand K (1997) Application of simulation modeling to emergency population evacuation. In: Proceedings of the 1997 winter simulation conference. pp 1181–1188

    Google Scholar 

  22. Doheny J, Fraser J (1996) MOBEDIC—a decision modeling tool for emergency situations. Expert Syst Appl 10:17–27

    Article  Google Scholar 

  23. Daganzo CF (1994) The cell transmission model: a simple dynamic representation of highway traffic. Transport Res B 28:269–287

    Article  Google Scholar 

  24. Daganzo CF (1995) The cell transmission model, part II: network traffic. Transport Res B 29:79–93

    Article  Google Scholar 

  25. Chien CC, Zhang Y, Stotsky A, Dharmasena SR, Ioannou P (1995) Macroscopic roadway traffic controller design. California PATH Research Report, UCB-ITS-PRR

    Google Scholar 

  26. Papageorgiou M (1989) Macroscopic modeling of traffic flow on the Boulevard Peripherique in Paris. Transport Res 23B:29–47

    Article  Google Scholar 

  27. Corrine B (2000) Metacor—a macroscopic modeling tool for corridor application to the Stockholm test site. Research Report, RR-1998-0547, Center for Traffic Engineering and Traffic Simulation, Sweden

    Google Scholar 

  28. Heydecker BG, Addison JD (1997) Stochastic and deterministic formulations of dynamic traffic assignment. In: Proceedings of the 25th European Transport Forum. pp 107–120

    Google Scholar 

  29. Sussman J (2000) Introduction to transportation systems. Artech House.

    Google Scholar 

  30. Lu Q, George B, Shekhar S (2005) Capacity constrained routing algorithms for evacuation planning: a summary of results. University of Minnesota, pp 291–307

    Google Scholar 

  31. Kaufman DE, Nonis J, Smith RL (1998) Mixed integer linear programming model for dynamic route guidance. Transport Res B 32:431–440

    Article  Google Scholar 

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Naser, A., Kamrani, A.K. (2012). Methodologies and Tools for Evacuation Planning. In: Intelligent Transportation and Evacuation Planning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-2143-6_3

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  • DOI: https://doi.org/10.1007/978-1-4614-2143-6_3

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4614-2142-9

  • Online ISBN: 978-1-4614-2143-6

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