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Dynamic Route Network Planning Problem for Emergency Evacuation in Restricted-Space Scenarios
Joint Authors
Li, Deying
Hong, Yi
Wu, Qiang
Xu, Hua
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-27
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
We investigate a dynamic route planning problem in restricted-space evacuation, namely, the Multiobjective Dynamic Route Network Planning (MODRNP) problem.
It models the multisource to multidestination evacuation in restricted-space scenarios, with the objectives of minimizing the whole evacuation delay and maximizing the evacuation efficiency.
We study the problem in 3D scenarios, which can provide intuition vision for the geographic space and contribute to the evacuation plan and implementation.
Based on the auxiliary graph transformation, we propose a heuristic algorithm referred to the classical problem, Minimum Weighted Set Cover.
We finally conduct extensive experiments to evaluate the performance of the proposed algorithm and give an application instance on a typical kind of restricted-space scenarios.
The results indicate that the proposed algorithm outperforms the existing alternatives in terms of the utilization as well as timeliness.
American Psychological Association (APA)
Hong, Yi& Li, Deying& Wu, Qiang& Xu, Hua. 2018. Dynamic Route Network Planning Problem for Emergency Evacuation in Restricted-Space Scenarios. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1181254
Modern Language Association (MLA)
Hong, Yi…[et al.]. Dynamic Route Network Planning Problem for Emergency Evacuation in Restricted-Space Scenarios. Journal of Advanced Transportation No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1181254
American Medical Association (AMA)
Hong, Yi& Li, Deying& Wu, Qiang& Xu, Hua. Dynamic Route Network Planning Problem for Emergency Evacuation in Restricted-Space Scenarios. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1181254
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181254