Continuous Dynamic Contraflow Approach for Evacuation Planning
Urmila Pyakurel () and
Tanka Nath Dhamala ()
Additional contact information
Urmila Pyakurel: Tribhuvan University
Tanka Nath Dhamala: Tribhuvan University
Annals of Operations Research, 2017, vol. 253, issue 1, No 25, 573-598
Abstract:
Abstract The research in evacuation planning has been very much motivated due to the rapidly increased number of disasters world-wide. It is the process of shifting maximum number of evacuees from the disastrous areas to the safe destinations as quickly and efficiently as possible. The contraflow model allows the arc reversals that increase the outbound road capacities. In continuous time setting, the dynamic contraflow sends the maximum flow as a flow rate from the sources to the sinks in every moment of time unit. In this paper, we elaborate the mathematical model for the continuous dynamic contraflow problem. Moreover, we present computationally efficient algorithms to solve the different dynamic contraflow problems in continuous time model, for example, maximum dynamic, earliest arrival, lex-maximum dynamic, earliest arrival transshipment and quickest transshipment contraflows on particulars networks. Here, we study the theoretical development of continuous contraflow approach for evacuation planning issues. The proposed newly presented algorithms with continuous contraflow reconfiguration approach increase the flow value for given time horizon and also decrease the evacuation time needed to transship the given flow value. Here most of the newly proposed methods make use of temporally repeated flows.
Keywords: Evacuation planning; Continuous time; Contraflow; Complexity (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://link.springer.com/10.1007/s10479-016-2302-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:253:y:2017:i:1:d:10.1007_s10479-016-2302-5
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1007/s10479-016-2302-5
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().