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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ibrahim, S. Ammar, R. Rajasekaran, S. Lownes, N. Wang, Q. Sharma, D. |
| Copyright Year | 2011 |
| Description | Author affiliation: Computer Engineering Department, University of Connecticut, Storrs CT (Ibrahim, S.; Ammar, R.; Rajasekaran, S.; Sharma, D.) || Civil Engineering Department, University of Connecticut, Storrs CT (Lownes, N.; Wang, Q.) |
| Abstract | Estimating the criticality of each link in a transportation network is a crucial step for guiding the design and deployment of vulnerability reduction measures. Using exhaustive simulations based on user-equilibrium assignment to evaluate the effect of the failure of each link (or set of links) can be prohibitively time-consuming for reasonably-sized transportation networks. In this paper, we propose an alternative heuristic approach to the estimation the vulnerability of network links employing efficient graph-theoretical algorithms. In particular, our model estimates the cost of single link failure based on the increase in shortest path travel time taking into account the effect of congestion. Results show that the proposed method can reliably be used to estimate the relative effect of each link failure on the system travel time and rank links accordingly. |
| Starting Page | 1092 |
| Ending Page | 1098 |
| File Size | 389871 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781457706806 |
| ISSN | 15301346 |
| e-ISBN | 9781457706813 |
| e-ISBN | 9781457706783 |
| DOI | 10.1109/ISCC.2011.5983988 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-28 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Correlation Computational modeling Terrorism Throughput Algorithm design and analysis Roads transportation network vulnerability assessment |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software |
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