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Dynamic network flow optimization for real-time evacuation reroute planning under multiple road disruptions

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  • Darvishan, Ayda
  • Lim, Gino J.
Abstract
During the course of an evacuation, evacuees often encounter unexpected incidents interrupting their plans for evacuation. Roads may not be accessible due to flooding, wild-fire propagation, accidents, the collapse of highway structures, and various other reasons. The evolving disturbances to the evacuation plan due to road disruptions may prolong the evacuation process and lead to chaos, injuries, and loss of life unless a quick, efficient recovery plan is implemented. In this work, we aim to provide a rerouting approach for an evacuation network that undergoes road disruptions. Unlike previous studies, it is assumed that incidents can occur on multiple roads and that the time of each occurrence can differ from the time of other occurrences. Flow optimization techniques are used to represent evacuation traffic flow on the transportation network. A dynamic traffic flow rate is considered in which the evacuation flow rate can change over time during the planning horizon. The variation in the flow rates enables a better projection of the traffic dynamics and consequences caused by disturbances. Furthermore, a path-based dynamic network flow optimization formulation is proposed to make the model scalable for large evacuation networks. Two preprocessing algorithms are introduced to calculate specific parameters associated with road disruptions and topology of the evacuation network. The use of these parameters enables us to transform the original optimization model into a linear model to reduce the computational burden. Numerical experiments are made to show the performance of the proposed model. Furthermore, the effects of specific features such as disruption time, disturbance location, and the plan updating time on the evacuation process are investigated. Results indicate that when more incidents occur later or when incident information is received earlier, the magnitude of the rerouting completion time is lessened.

Suggested Citation

  • Darvishan, Ayda & Lim, Gino J., 2021. "Dynamic network flow optimization for real-time evacuation reroute planning under multiple road disruptions," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    • Handle: RePEc:eee:reensy:v:214:y:2021:i:c:s095183202100185x
    DOI: 10.1016/j.ress.2021.107644
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    References listed on IDEAS

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    1. Pidd, M. & de Silva, F. N. & Eglese, R. W., 1996. "A simulation model for emergency evacuation," European Journal of Operational Research, Elsevier, vol. 90(3), pages 413-419, May.
    2. Lichun Chen & Elise Miller-Hooks, 2012. "Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport," Transportation Science, INFORMS, vol. 46(1), pages 109-123, February.
    3. Gino J. Lim & Mukesh Rungta & Ayda Davishan, 2019. "A robust chance constraint programming approach for evacuation planning under uncertain demand distribution," IISE Transactions, Taylor & Francis Journals, vol. 51(6), pages 589-604, June.
    4. Faturechi, Reza & Miller-Hooks, Elise, 2014. "Travel time resilience of roadway networks under disaster," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 47-64.
    5. F N de Silva & R W Eglese, 2000. "Integrating simulation modelling and GIS: spatial decision support systems for evacuation planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(4), pages 423-430, April.
    6. Gino Lim & M. Baharnemati & Seon Kim, 2016. "An optimization approach for real time evacuation reroute planning," Annals of Operations Research, Springer, vol. 238(1), pages 375-388, March.
    7. Giampiero E. G. Beroggi & William A. Wallace, 1995. "Operational Control of the Transportation of Hazardous Materials: An Assessment of Alternative Decision Models," Management Science, INFORMS, vol. 41(12), pages 1962-1977, December.
    8. Lim, Gino J. & Zangeneh, Shabnam & Reza Baharnemati, M. & Assavapokee, Tiravat, 2012. "A capacitated network flow optimization approach for short notice evacuation planning," European Journal of Operational Research, Elsevier, vol. 223(1), pages 234-245.
    9. Bier, Vicki M. & Hausken, Kjell, 2013. "Defending and attacking a network of two arcs subject to traffic congestion," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 214-224.
    10. Mukesh Rungta & Gino Lim & MohammadReza Baharnemati, 2012. "Optimal egress time calculation and path generation for large evacuation networks," Annals of Operations Research, Springer, vol. 201(1), pages 403-421, December.
    11. Gino J. Lim & M. Reza Baharnemati & Seon Jin Kim, 2016. "An optimization approach for real time evacuation reroute planning," Annals of Operations Research, Springer, vol. 238(1), pages 375-388, March.
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    Cited by:

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    5. Monfared, M.A.S. & Rezazadeh, Masoumeh & Alipour, Zohreh, 2022. "Road networks reliability estimations and optimizations: A Bi-directional bottom-up, top-down approach," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
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    8. Tao, Longlong & Wu, Jie & Ge, Daochuan & Chen, Liwei & Sun, Ming, 2022. "Risk-informed based comprehensive path-planning method for radioactive materials road transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).

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