| 摘要(英) |
The Old Street in the Taoyuan Daxi Township is one of the top ten most attractive recreational spots in Taiwan. Therefore, it experiences severe traffic and parking congestion during holidays. The Transportation Bureau of Taoyuan County Government has implemented a series of Intelligent Transportation System (ITS)-related strategies to allievate this issue, including but not limited to realtime traffic flow measurement using vehicle dectors, live traffic information broadcasting using Changeable Message Signs (CMS), etc. In addition, in order to address parking lot shortages while accommodating growing numbers of visitors, a shuttle bus service has been provided. This study evaluated and quantified these transportation management strategies at the Old Street resulting from park-and-ride shuttle service operations and ITS-related data. Several data mining algorithms such as classification and association rules discovery were utilized to help predict when and where the congestion will occur, as well as how the shuttle ridership is affected by use of ITS. Other transportation bureaus can apply the proposed research procedure to analyze of their ITS-related data in order to define appropriate traffic management strategies for tourism places. |
| 參考文獻 |
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