公車動態資訊系統巨量資料（big data）蒐集與視覺化分析研究

Abstract

近年來網路科技及大數據概念之發展逐漸成熟,充分運用公共運輸巨 量資料將有助於國內先進公共運輸系統之發展,故本計畫擬透過巨量探勘技術來挖掘公共運輸巨量資料之有用資訊,過程中將訪談主管機關及公共運輸業者彙整需求,並將資料探勘結果以視覺化方式呈現,俾利於政府管及改善公路(市區)客運業者之管理模式。

As the network technology and concept of big data become more mature, fully utilizing big data on public transits would be beneficial for the development of advanced public transportation system (APTS). Therefore, this study aims to introduce data mining techniques and the latest analysis methods, and tries to discover useful information and others from the raw data. This paper will have an informal discussion, which could induce brain storming and collect the requirements of bus transportation authority and operators. The results of data mining will present a visualization of information for users, and government could also enhance the surveillance for bus operators from the result of this study.