Abstract
dc:description.abstract<p>Truck queuing at marine terminal gates has long been recognized as a source of emissions problem due to the large number of trucks idling. For this reason, there is a great deal of interest among the different stakeholders to lessen the severity of this problem. In order to assist these stakeholders address the congestion problem, baseline data and predictive models are needed. With the advancement of computer technology, more and more marine terminals in the United States now offer live views of their gates via webcams as a means of managing demand for the terminals. These webcams could be used to gather much needed truck queuing information and additional truck related data. This thesis focuses on developing methodologies to utilize webcam data to predict truck queuing time.</p>
Degree
thesis:*- Name thesis:degree_name
- M.S.
- Level thesis:degree_level
- Campus Access Thesis
- Discipline thesis:degree_discipline
- Civil and Environmental Engineering
- Year
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Pham, Quyen Thi
- Contributors dc:contributor
-
- Nathan Huynh
Subjects
dc:subject × 8Rights
dc:rights- Statement dc:rights
-
- © 2011, Quyen Thi Pham
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholarcommons.sc.edu/etd/645
- OAI identifier oai:identifier
- oai:scholarcommons.sc.edu:etd-1646