| Summary: | 碩士 === 國立交通大學 === 運輸與物流管理學系 === 105 === In recent years, with the continued growth of private holdings, many traffic problems have arisen. In this regard, the Government has made it possible to provide bus information services to users through the construction of advanced public transportation systems(APTS) and to shorten passenger waiting time. It is common practice to provide bus time through intelligent bus stops, but it is not easy to be popular due to cost factors. Previous studies suggest that the region which traffic conditions are relatively stable makes the bus travel time fluctuation relatively minor, therefore we can post the static bus arrival schedule on the bus stop along the bus route to reduce passenger waiting time.
In this study, we will use a systematic way to generate the bus arrival schedule, with the data collected by the bus-onboard-machine and then removed the outliers through the DBSCAN algorithm, to incorporate the driving habits of the majority of drivers. By using previous bus data to verify, the results show that the method proposed by this study can increase the amount of data on time, reducing the time drop between bus arrival schedule and actual arrival time, enhancing the credibility of the bus arrival schedule.
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