Bus arrival prediction - To ensure users not to miss the bus

Lutfi Fanani, Achmad Basuki, Deron Liang

研究成果: 雜誌貢獻期刊論文同行評審

3 引文 斯高帕斯(Scopus)


Predicting arrival times of buses is a key challenge in the context of building intelligent public transportation systems. The bus arrival time is the primary information for providing passengers with an accurate information system that can reduce passenger waiting times. In this paper, we used the normal distribution method to the random of travel times data in a bus line number 243 in Taipei area. In developing the models, data were collected from Taipei Bus Company. A normal distribution method used for predicting the bus arrival time in bus stop to ensure users not to miss the bus, and compare the result with the existing application. The result of our experiment showed that our proposed method has a better prediction than existing application, with the probability user not to miss the bus in peak time is 93% and in normal time is 85%, greater than from the existing application with the 65% probability in peak time, and 70% in normal time.

頁(從 - 到)333-339
期刊International Journal of Electrical and Computer Engineering
出版狀態已出版 - 1 4月 2015


深入研究「Bus arrival prediction - To ensure users not to miss the bus」主題。共同形成了獨特的指紋。