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http://hdl.handle.net/10397/89928
| Title: | Methodology for estimating waterway traffic capacity at Shanghai estuary of the Yangtze River | Authors: | Weng, J Liao, S Yang, D |
Issue Date: | Jan-2020 | Source: | Journal of navigation, Jan. 2020, v. 73, no. 1, p. 75-91 | Abstract: | The objective of this study is to propose a methodology for assessing waterway traffic capacity in the Shanghai estuary of the Yangtze River. To achieve this objective, we first put forward the estimation method which utilises the minimum collision distance taking the dynamic ship domain into consideration. Considering possible effects caused by unknown external factors, the waterway traffic capacity is then represented by a probability distribution. Finally, we quantify the equivalent units of ships with various ship sizes as well as the effects of large-sized ships on the waterway traffic capacity. Results show that a large-sized ship is equivalent to more small-sized ships during the daytime period than at night. In addition, the deployment of large-sized ships could increase the waterway traffic capacity and such an increment highly depends on the increased proportion of large-sized ships in the waterway traffic. | Keywords: | AIS Estimation Ship domain Uncertainty |
Publisher: | Cambridge University Press | Journal: | Journal of navigation | ISSN: | 0373-4633 | EISSN: | 1469-7785 | DOI: | 10.1017/S0373463319000493 | Rights: | This article has been published in a revised form in the Journal of Navigation https://doi.org/10.1017/S0373463319000493. This version is free to view and download for private research and study only. Not for re-distribution or re-use. © The Royal Institute of Navigation 2019. When citing an Accepted Manuscript or an earlier version of an article, the Cambridge University Press requests that readers also cite the Version of Record with a DOI link. The article is subsequently published in revised form in the Journal of Navigation https://doi.org/10.1017/S0373463319000493. |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| a0849-n02_1772.pdf | Pre-Published version | 1.26 MB | Adobe PDF | View/Open |
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