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Identifying the optimal configuration of one-way and two-way streets for contraflow operation during an emergency evacuation

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Abstract

As natural and man-made disasters have been increasing, interest in preventing crises and/or mitigating the associated consequences has been growing as well. When dealing with predictable disasters, there is a limited time for effective response, and people should be evacuated in a short time to minimize the fatalities. In such extraordinary situations, attention should be given to making better use of existing infrastructure. The aim of this study is to present a model for optimizing street directions in order to increase the outbound capacity of the network. However, because of the magnitude of the problem, an optimal solution cannot be reached through ordinary methods. Hence, the simulated annealing algorithm, which is a meta-heuristic technique, is used. Computational results on a case study demonstrate that this technique yields considerable improvement in the objective function of the problem which is total travel time of road network users.

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References

  • Aashtiani HZ, Iravani H (1999) Use of intersection delay functions to improve reliability of traffic assignment model. 14th International EMME/2 Users’ Conference; 20 October, Chicago, Illinois

  • Asian Disaster Reduction Center (2009) Natural Disaster Data Book 2009 (An Analytical Overview) http://www.adrc.asia/publications/databook/DB2009.html. Accessed 6 April 2012

  • Ballard AJ (2007) Traffic operations for hurricane evacuation. Transp Res Rec 2035:195–204

    Article  Google Scholar 

  • Drezner Z, Wesolowsky GO (1997) Selecting an optimum configuration of one-way and two-way routes. Transp Sci 31(4):386–394

    Article  Google Scholar 

  • Federal Emergency Management Agency (FEMA) (2011), http://www.fema.gov/news/disaster_totals_annual.fema

  • Glover F, Kochenberger GA (2003) Handbook of metaheuristics. Kluwer Academic, New York

    Google Scholar 

  • Kalafatas G, Peeta S (2009) Planning for evacuation: insights from an efficient network design model. J Infrastructure Syst 15(1):21–30

    Article  Google Scholar 

  • Kim S, Shekhar S (2005) Contraflow network reconfiguration for evacuation planning: a summary of results. Proceedings of the 13th annual ACM international workshop on Geographic information systems; 4–5 November, Bremen Germany: 250–259

  • Kim S, Shekhar S (2006) Contraflow transportation network reconfiguration for evacuation route planning. Department of Computer Science and Engineering, University of Minnesota. Final Report, http://trid.trb.org/view.aspx?id=789645

  • Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220:621–680

    Article  Google Scholar 

  • Lee CK, Yang KI (1994) Network design of one-way streets with SA. Pap Reg Sci 73(2):119–134

    Article  Google Scholar 

  • Lian-bo D, Feng S (2009). The bi-level program and simulated annealing algorithm for the construction sequence of transport network. icicta, Second International Conference on Intelligent Computation Technology and Automation, vol. 2, pp 279–282

  • Michiels W, Aarts E, Korst J (2007) Theoretical aspects of local search. Springer, Berlin

    Google Scholar 

  • Mirjalalieh-Shirazi D, Poorzahedy H (2001) Network design of one-way streets by simulated annealing algorithm. M.Sc. Dissertation, Sharif University of technology

  • Murray PM, Mahmassani HS (2003) Model of household trip chain sequencing in an emergency evacuation 1831. Transp Res Rec 1:21–29

    Article  Google Scholar 

  • Pielke R (1998) Forecasting danger: The science of disaster prediction. Encarta Yearbook

  • Romeo F, Sangiovanni-Vincentelli A (1991) A theoretical framework for simulated annealing. Algorithmica 6:302–345

    Article  Google Scholar 

  • Sharif Institute for Transportation Studies and Research (2001) A proposed network for one-way streets. Shiraz Comprehensive Transportation and Traffic Studies; report no. 11–80, Sharif University of Technology

  • Sheffi Y (1985) Urban transportation networks: equilibrium analysis with mathematical programming methods. Englewood Cliffs, N.J., USA, Prentice-Hall

    Google Scholar 

  • Sheffi Y, Powell BW (1981) A comparison of stochastic and deterministic traffic assignment over congested networks. Transp Res Part B 15(1):53–64

    Article  Google Scholar 

  • Sheffi Y, Mahmassani HS, Powell WB (1982) A transportation network evacuation model. Transp Res Part A 16(3):209–218

    Article  Google Scholar 

  • Simonovic SP, Ahmad S (2005) Computer-based model for flood evacuation emergency planning. Nat Hazards 34:25–51

    Article  Google Scholar 

  • Taromi R, Afandizadeh S (2003) Optimization of urban networks by genetic algorithm. M.Sc. Dissertation, Iran University of Science and Technology

  • Tuydes H, Ziliaskopoulos AK (2004) Network Re-design to Optimize Evacuation Contraflow. 83rd Transportation Research Board Annual Meeting, Washington

  • Tuydes H, Ziliaskopoulos AK (2006) Tabu-based heuristic for optimization of network evacuation contraflow 1964. Transp Res Rec 1:157–168

    Article  Google Scholar 

  • Wolshon B, Lim E (2005) Modeling and performance assessment of contraflow evacuation termination points 1922. Transp Res Rec 1:118–128

    Google Scholar 

  • Xie C, Turnquist MA (2009) Integrated evacuation network optimization and emergency vehicle assignment. Transp Res Rec 2091:79–90

    Article  Google Scholar 

  • Xie C, Turnquist MA (2011) Lane-based evacuation network optimization: an integrated Lagrangian relaxation and tabu search approach. Transp Res Part C Emerg Technol 19(1):40–63

    Article  Google Scholar 

  • Xie C, Lin DY, Waller ST (2010) A dynamic evacuation network optimization problem with lane reversal and crossing elimination strategies. Transp Res Part E Logist Transp Rev 46(3):295–316

    Article  Google Scholar 

  • Xie C, Waller ST, Kockelman KM (2011) Intersection origin-destination flow optimization problem for evacuation network design. Transp Res Rec 2234:105–115

    Article  Google Scholar 

  • Yuan F (2005) A proposed framework for simultaneous optimization of evacuation traffic distribution and assignment. PhD Dissertation, University of Tennessee, Knoxville

Download references

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Correspondence to Arash Jahangiri.

Appendix A

Appendix A

Steps of the double-stage algorithm are as follows (Sheffi 1985).

  1. 1.

    Initialization: perform all-or-nothing assignment based on \( t_{a}^{Z} = t_{a}^{Z} (0)\quad \forall a,\;x_{a}^{Z1} \) are obtained, n = 1 as a counter.

  2. 2.

    Update \( t_{a}^{Zn} = t_{a}^{Zn} (x_{a}^{Zn} ), \, \forall a \)

  3. 3.

    Direction finding

    1. a.

      Calculate the shortest travel time path from each origin, r, to all destinations, based on t zn a .

    2. b.

      Determine the auxiliary O-D flows by applying a logit distribution model

    3. c.

      Assign the auxiliary flows to the minimum travel time path between r and s.

  4. 4.

    Line search. Find α n that solves \( \hbox{Min} \sum\limits_{a} {\int_{0}^{{x_{a}^{Zn} + \alpha \left( {y_{a}^{Zn} - x_{a}^{Zn} } \right)}} {t_{a} \left( \omega \right)} } d\omega ,0 \le \alpha \le 1 \)

  5. 5.

    Move: \( x_{a}^{Z(n + 1)} = x_{a}^{Zn} + \alpha_{n} \left( {y_{a}^{Zn} - x_{a}^{Zn} } \right),\forall a \)

  6. 6.

    Convergence test: if a convergence criterion is met, present the current solution \( \left( {x_{a}^{Z(n + 1)} } \right) \)as the final equilibrium link flows, otherwise n = n + 1 and go to step 2.

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Afandizadeh, S., Jahangiri, A. & Kalantari, N. Identifying the optimal configuration of one-way and two-way streets for contraflow operation during an emergency evacuation. Nat Hazards 69, 1315–1334 (2013). https://doi.org/10.1007/s11069-012-0359-2

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  • DOI: https://doi.org/10.1007/s11069-012-0359-2

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