Skip to main content

Advertisement

SpringerLink
Log in

Conflict-Free Evacuation Route Planning

  • Published:
GeoInformatica Aims and scope Submit manuscript

Abstract

Given a transportation network, a population, and a set of destinations, the goal of Conflict-Free Evacuation Route Planning (CF-ERP) is to produce routes that minimize the evacuation time for the population with no spatiotemporal movement-conflicts. The CF-ERP problem is an essential component of civic emergency preparedness in the wake of man-made or natural disasters (e.g., terrorist acts, hurricanes, or nuclear accidents). This problem is challenging because of the large size of network data, the large number of evacuees, and the need to account for capacity constraints and the conflict-free constraint. Previous work has focused on minimizing the evacuation time on spatiotemporal networks. However, these approaches cannot minimize potential movement-conflicts that cause traffic accidents, congestion, and delays. We propose novel approaches for CF-ERP to meet the conflict-free constraint while minimizing the evacuation time for the population. Experiments using real-world datasets demonstrate that the proposed algorithms produce evacuation routes with no movement-conflicts and have comparable solution quality to related work.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

References

  1. Ahuja R, Magnanti T L, Orlin J B (1993) Network flows: theory, algorithms and applications. Prentice-Hall, New Jersey

    Google Scholar 

  2. Aljubayrin S, Qi J, Jensen C S, Zhang R, He Z, Wen Z (2015) The safest path via safe zones. In: 2015 IEEE 31st international conference on data engineering. IEEE, pp 531–542

  3. Ben-Akiva M, et al. (2002) Development of a deployable real-time dynamic traffic assignment system: dynamit and dynamit-p user’s guide. Intelligent Transportation Systems Program Massachusetts Institute of Technology

  4. Burkard R E, Dlaska K, Klinz B (1993) The quickest flow problem. Z Oper Res 37(1):31–58

    Google Scholar 

  5. Cormen T H, Leiserson C E, Rivest R L, Stein C (2009) Introduction to algorithms, MIT Press, Cambridge

  6. Cova T J, Johnson J P (2003) A network flow model for lane-based evacuation routing. Transp Res Part A: Policy Pract 37(7):579–604

    Google Scholar 

  7. Dai J, Yang B, Guo C, Jensen C S, Hu J (2016) Path cost distribution estimation using trajectory data. Proc VLDB Endow 10(3):85–96

    Article  Google Scholar 

  8. Diestel R (2005) Graph theory. Grad. Texts in Math 101

  9. Fleischer L, Skutella M (2007) Quickest flows over time. SIAM J Comput 36(6):1600–1630

    Article  Google Scholar 

  10. Ford L R Jr, Fulkerson DR (1958) Constructing maximal dynamic flows from static flows. Oper Res 6(3):419–433

    Article  Google Scholar 

  11. Francis R, Saunders P (1979) Evacnet: prototype network optimization models for building evacuation (rep. no. nbsir 79-1593). Natl Bur Stand (US)

  12. Furth P G, Cesme B, Muller T H J (2009) Lost time and cycle length for actuated traffic signal. Transp Res Rec 2128(1):152–160. https://doi.org/10.3141/2128-16

    Article  Google Scholar 

  13. Gastner M T, Newman M E (2006) The spatial structure of networks. Eur Physi J B-Condens Matter Complex Syst 49(2):247–252

    Article  Google Scholar 

  14. George B, Shekhar S (2008) Time-aggregated graphs for modeling spatio-temporal networks. In: Journal on Data Semantics XI. Springer, pp 191–212

  15. Hamacher H, Tjandra S (2002) Mathematical modelling of evacuation problems: state of the art. In: Pedestrian and evacuation dynamics. Springer, pp 227–266

  16. Herschelman R, Yang K (2019) Conflict-free evacuation route planner. In: Proceedings of the 27th ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, pp 480–483

  17. Hoppe B, Tardos É (1994) Polynomial time algorithms for some evacuation problems. In: SODA, vol 94, pp 433–441

  18. Hoppe B, Tardos E (2000) The quickest transshipment problem. Math Oper Res 25(1):36–62

    Article  Google Scholar 

  19. Kim S, George B, Shekhar S (2007) Evacuation route planning: scalable heuristics. In: Proceedings of the 15th annual ACM international symposium on advances in geographic information systems, pp 1–8

  20. Lu Q, George B, Shekhar S (2005) Capacity constrained routing algorithms for evacuation planning: a summary of results. In: International symposium on spatial and temporal databases. Springer, pp 291–307

  21. Lu Q, George B, Shekhar S (2007) Evacuation route planning: a case study in semantic computing. Int J Semant Comput 1(2):249–303

    Article  Google Scholar 

  22. Mahmassani H, Sbayti H, Zhou X (2004) Dynasmart-p: intelligent transportation network planning tool: version 1.0 user’s guide. Maryland Transportation Initiative, University of Maryland, College Park

    Google Scholar 

  23. Pedersen S A, Yang B, Jensen C S (2020) Fast stochastic routing under time-varying uncertainty. VLDB J 29(4):819–839

    Article  Google Scholar 

  24. Pel A J, Bliemer M C, Hoogendoorn S P (2012) A review on travel behaviour modelling in dynamic traffic simulation models for evacuations. Transportation 39(1):97–123

    Article  Google Scholar 

  25. Regan A (2017) Hurricane Irma could create one of the largest mass evacuations in U.S. history. https://www.usatoday.com/story/news/nation-now/2017/09/07/hurricane-irma-evacuations-florida/643045001/ Online; Accessed: 12 June 2020

  26. Shekhar S, Yang K, Gunturi V M, Manikonda L, Oliver D, Zhou X, George B, Kim S, Wolff J M, Lu Q (2012) Experiences with evacuation route planning algorithms. Int J Geogr Inf Sci 26(12):2253–2265

    Article  Google Scholar 

  27. Southworth F (1991) Regional evacuation modeling: A state-of-the art review (Technical Report). Center for Transportation Analysis Oak Ridge National Laboratory, Oak Ridge, TN, https://www.survivalring.org/classics/RegionalEvactuationModeling-StateOfTheArtReview-Mar1991-ORNL-TM-11740.pdf. Accessed 31 May 2020.

  28. State of Florida (2018) Select Committee on Hurricane Response and Preparedness (Final Report). https://www.myfloridahouse.gov/. Online; Accessed 31 May 2020

  29. Wardrop J (1952) Some theoretical aspects of road traffic research. In: Proceedings of the institution of civil engineers, 2(1). Thomas Telford Ltd

  30. www.openstreetmap.org: Online; Accessed 31 Mar 2020

  31. Yang K, Gunturi V M, Shekhar S (2012) A dartboard network cut based approach to evacuation route planning: a summary of results. In: International conference on geographic information science. Springer, pp 325–339

  32. Yang B, Guo C, Jensen C S, Kaul M, Shang S (2014) Stochastic skyline route planning under time-varying uncertainty. In: 2014 IEEE 30th International conference on data engineering. IEEE, pp 136–147

  33. Yang K, Shekhar A H, Rehman F U, Lahza H, Basalamah S, Shekhar S, Ahmed I, Ghafoor A (2015) Intelligent shelter allotment for emergency evacuation planning: a case study of makkah. IEEE Intell Syst 30(5):66–76

    Article  Google Scholar 

  34. Yang K, Shekhar S (2017) Spatial network big databases: queries and storage methods. Springer, Cham

    Book  Google Scholar 

Download references

Acknowledgements

We would like to thank the National Science Foundation CAREER under Grant No. 1844565. We also thank Prof. Shashi Shekhar from University of Minnesota for his helpful comments and discussions.

Author information

Authors and Affiliations

  1. Computer and Electrical Engineering and Computer Science, Florida Atlantic University, 777 Glades Road, EE 428, Boca Raton, FL, 33431-0991, USA

    Roxana Herschelman, Ahmad Qutbuddin & KwangSoo Yang

Authors
  1. Roxana Herschelman
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ahmad Qutbuddin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. KwangSoo Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Roxana Herschelman.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Herschelman, R., Qutbuddin, A. & Yang, K. Conflict-Free Evacuation Route Planning. Geoinformatica 25, 655–678 (2021). https://doi.org/10.1007/s10707-021-00435-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10707-021-00435-0

Keywords

Search

Navigation