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

Civil Engineering

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