Road Network Vulnerability Analysis Based on Improved Ant Colony Algorithm
Joint Authors
Wang, Yunpeng
Feng, Yuqin
Fulcher, William Case
Zhang, Li
Li, Wenxiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
We present an improved ant colony algorithm-based approach to assess the vulnerability of a road network and identify the critical infrastructures.
This approach improves computational efficiency and allows for its applications in large-scale road networks.
This research involves defining the vulnerability conception, modeling the traffic utility index and the vulnerability of the road network, and identifying the critical infrastructures of the road network.
We apply the approach to a simple test road network and a real road network to verify the methodology.
The results show that vulnerability is directly related to traffic demand and increases significantly when the demand approaches capacity.
The proposed approach reduces the computational burden and may be applied in large-scale road network analysis.
It can be used as a decision-supporting tool for identifying critical infrastructures in transportation planning and management.
American Psychological Association (APA)
Wang, Yunpeng& Feng, Yuqin& Li, Wenxiang& Fulcher, William Case& Zhang, Li. 2014. Road Network Vulnerability Analysis Based on Improved Ant Colony Algorithm. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-465469
Modern Language Association (MLA)
Wang, Yunpeng…[et al.]. Road Network Vulnerability Analysis Based on Improved Ant Colony Algorithm. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-465469
American Medical Association (AMA)
Wang, Yunpeng& Feng, Yuqin& Li, Wenxiang& Fulcher, William Case& Zhang, Li. Road Network Vulnerability Analysis Based on Improved Ant Colony Algorithm. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-465469
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-465469