IDEAS home Printed from https://ideas.repec.org/a/spr/jcomop/v36y2018i1d10.1007_s10878-018-0290-x.html
   My bibliography  Save this article

Approximation algorithms for the bus evacuation problem

Author

Listed:
  • Lehilton L. C. Pedrosa

    (University of Campinas)

  • Rafael C. S. Schouery

    (University of Campinas)

Abstract

We consider the bus evacuation problem. Given a positive integer B, a bipartite graph G with parts S and $$T \cup \{r\}$$ T ∪ { r } in a metric space and functions $$l_i :S \rightarrow {\mathbb {Z}}_+$$ l i : S → Z + and $${u_j :T \rightarrow \mathbb {Z}_+ \cup \{\infty \}}$$ u j : T → Z + ∪ { ∞ } , one wishes to find a set of B walks in G. Every walk in B should start at r and finish in T and r must be visited only once. Also, among all walks, each vertex i of S must be visited at least $$l_i$$ l i times and each vertex j of T must be visited at most $$u_j$$ u j times. The objective is to find a solution that minimizes the length of the longest walk. This problem arises in emergency planning situations where the walks correspond to the routes of B buses that must transport each group of people in S to a shelter in T, and the objective is to evacuate the entire population in the minimum amount of time. In this paper, we prove that approximating this problem by less than a constant is $$\text{ NP }$$ NP -hard and present a 10.2-approximation algorithm. Further, for the uncapacitated BEP, in which $$u_j$$ u j is infinity for each j, we give a 4.2-approximation algorithm.

Suggested Citation

  • Lehilton L. C. Pedrosa & Rafael C. S. Schouery, 2018. "Approximation algorithms for the bus evacuation problem," Journal of Combinatorial Optimization, Springer, vol. 36(1), pages 131-141, July.
  • Handle: RePEc:spr:jcomop:v:36:y:2018:i:1:d:10.1007_s10878-018-0290-x
    DOI: 10.1007/s10878-018-0290-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10878-018-0290-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10878-018-0290-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Goerigk, Marc & Deghdak, Kaouthar & T’Kindt, Vincent, 2015. "A two-stage robustness approach to evacuation planning with buses," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 66-82.
    2. Kaouthar Deghdak & Vincent T’kindt & Jean-Louis Bouquard, 2016. "Scheduling evacuation operations," Journal of Scheduling, Springer, vol. 19(4), pages 467-478, August.
    3. H. W. Kuhn, 1955. "The Hungarian method for the assignment problem," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 2(1‐2), pages 83-97, March.
    4. Corinna Kaufmann, 2014. "Application of Scheduling Theory to the Bus Evacuation Problem," Operations Research Proceedings, in: Dennis Huisman & Ilse Louwerse & Albert P.M. Wagelmans (ed.), Operations Research Proceedings 2013, edition 127, pages 231-236, Springer.
    5. Victor C. Pereira & Douglas R. Bish, 2015. "Scheduling and Routing for a Bus-Based Evacuation with a Constant Evacuee Arrival Rate," Transportation Science, INFORMS, vol. 49(4), pages 853-867, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stenfors, Alexis & Susai, Masayuki, 2021. "Spoofing and pinging in foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuanyuan Feng & Yi Cao & Shuanghua Yang & Lili Yang & Tangjian Wei, 2023. "A two-step sub-optimal algorithm for bus evacuation planning," Operational Research, Springer, vol. 23(2), pages 1-35, June.
    2. Wang, Yan & Wang, Junwei, 2019. "Integrated reconfiguration of both supply and demand for evacuation planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 82-94.
    3. Krutein, Klaas Fiete & Goodchild, Anne, 2022. "The isolated community evacuation problem with mixed integer programming," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    4. András Frank, 2005. "On Kuhn's Hungarian Method—A tribute from Hungary," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(1), pages 2-5, February.
    5. Amit Kumar & Anila Gupta, 2013. "Mehar’s methods for fuzzy assignment problems with restrictions," Fuzzy Information and Engineering, Springer, vol. 5(1), pages 27-44, March.
    6. Parvin Ahmadi & Iman Gholampour & Mahmoud Tabandeh, 2018. "Cluster-based sparse topical coding for topic mining and document clustering," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(3), pages 537-558, September.
    7. Chenchen Ma & Jing Ouyang & Gongjun Xu, 2023. "Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models," Psychometrika, Springer;The Psychometric Society, vol. 88(1), pages 175-207, March.
    8. Tran Hoang Hai, 2020. "Estimation of volatility causality in structural autoregressions with heteroskedasticity using independent component analysis," Statistical Papers, Springer, vol. 61(1), pages 1-16, February.
    9. Caplin, Andrew & Leahy, John, 2020. "Comparative statics in markets for indivisible goods," Journal of Mathematical Economics, Elsevier, vol. 90(C), pages 80-94.
    10. Biró, Péter & Gudmundsson, Jens, 2021. "Complexity of finding Pareto-efficient allocations of highest welfare," European Journal of Operational Research, Elsevier, vol. 291(2), pages 614-628.
    11. Péter Biró & Flip Klijn & Xenia Klimentova & Ana Viana, 2021. "Shapley-Scarf Housing Markets: Respecting Improvement, Integer Programming, and Kidney Exchange," Working Papers 1235, Barcelona School of Economics.
    12. Michal Brylinski, 2014. "eMatchSite: Sequence Order-Independent Structure Alignments of Ligand Binding Pockets in Protein Models," PLOS Computational Biology, Public Library of Science, vol. 10(9), pages 1-15, September.
    13. Chiwei Yan & Helin Zhu & Nikita Korolko & Dawn Woodard, 2020. "Dynamic pricing and matching in ride‐hailing platforms," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(8), pages 705-724, December.
    14. Fanrong Xie & Anuj Sharma & Zuoan Li, 2022. "An alternate approach to solve two-level priority based assignment problem," Computational Optimization and Applications, Springer, vol. 81(2), pages 613-656, March.
    15. Yan, Pengyu & Lee, Chung-Yee & Chu, Chengbin & Chen, Cynthia & Luo, Zhiqin, 2021. "Matching and pricing in ride-sharing: Optimality, stability, and financial sustainability," Omega, Elsevier, vol. 102(C).
    16. Guo, Yuhan & Zhang, Yu & Boulaksil, Youssef, 2021. "Real-time ride-sharing framework with dynamic timeframe and anticipation-based migration," European Journal of Operational Research, Elsevier, vol. 288(3), pages 810-828.
    17. Demetrescu, Camil & Lupia, Francesco & Mendicelli, Angelo & Ribichini, Andrea & Scarcello, Francesco & Schaerf, Marco, 2019. "On the Shapley value and its application to the Italian VQR research assessment exercise," Journal of Informetrics, Elsevier, vol. 13(1), pages 87-104.
    18. Christian Billing & Florian Jaehn & Thomas Wensing, 2020. "Fair task allocation problem," Annals of Operations Research, Springer, vol. 284(1), pages 131-146, January.
    19. Enning Yang & Filip Milisav & Jakub Kopal & Avram J. Holmes & Georgios D. Mitsis & Bratislav Misic & Emily S. Finn & Danilo Bzdok, 2023. "The default network dominates neural responses to evolving movie stories," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    20. Feng Li & Zhi-Long Chen & Zhi-Long Chen, 2017. "Integrated Production, Inventory and Delivery Problems: Complexity and Algorithms," INFORMS Journal on Computing, INFORMS, vol. 29(2), pages 232-250, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jcomop:v:36:y:2018:i:1:d:10.1007_s10878-018-0290-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.