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A capacity related reliability for transportation networks
Open accessAbstract
A capacity related reliability for transportation networks with random link capacity is introduced. It is defined as the probability that the road network can accommodate a certain level of traffic demand, and is built on the concept of network reserve capacity. Network reserve capacity is defined as the largest multiplier applied to an existing origin‐destination demand matrix that can be allocated to a transportation network in a user‐optimal way without violating the link capacities. Due to large variability associated with link capacities, a probabilistic approach is adopted to model the different physical and operational factors that often degrade the capacity of roadways. A Monte Carlo simulation procedure is developed to estimate the capacity related reliability measure. Numerical results are provided to demonstrate the feasibility of the approach.
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Cited by
Application of Accessibility Based Methods for Vulnerability Analysis of Strategic Road Networks
Taylor, M. A. P., Sekhar, S. V. C., & D'Este, G. M. (2006) · Networks and Spatial Economics · doi:10.1007/s11067-006-9284-9 · Cited by 396
Cats, O., & Jenelius, E. (2018) · Transportmetrica B: Transport Dynamics · doi:10.1080/21680566.2016.1267596 · Cited by 88
Metadata
- Authors
- Chen, A., Yang, H., Lo, H. K., & Tang, W. H.
- Venue
- Journal of Advanced Transportation
- Publisher
- Wiley
- Published
- 1999-06
- Volume
- 33
- Issue
- 2
- Pages
- 183-200
- ISSN
- 0197-6729 (ISSN-L)
- 2042-3195
- OpenAlex
- W2090375716
- Cited by
- 300
- References
- 0
- FWCI
- 17.03
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: A capacity related reliability for transportation networks. https://app.cochat.ai/papers/10.1002/atr.5670330207
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- Chen, A., Yang, H., Lo, H. K., & Tang, W. H. (1999). A capacity related reliability for transportation networks. Journal of Advanced Transportation. https://doi.org/10.1002/atr.5670330207
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.