Utilizing Real-Time Travel Information, Mobile Applications and Wearable Devices for Smart Public Transportation
Refereed conference paper presented and published in conference proceedings

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其它資訊
摘要We propose a cloud platform that utilizes real-time travel information, a mobile application and wearable devices for smart public transportation. This platform is capable of retrieving the required data automatically, reporting real-time public transportation information and providing users with personalized recommendations for using public transits. Novel features of this platform include the measure of the current walking speed of the user and the use of real-time estimated arrival times of public transits at different locations for travel recommendations. We also present our on-going work of developing the proposed platform for the public transportation system in Hong Kong. We aim to develop this platform for passengers for aiding their decisions and reducing their journey times, thereby improving their commuting experience and encouraging the use of public transportation.
著者Vincent T.F. Chow , Ka Wing Sung, Helen M. Meng, Ka Ho Wong, Gary KS Leung, Yong-Hong Kuo, Kelvin K.F. Tsoi
會議名稱The 7th International Conference on Cloud Computing and Big Data (CCBD)
會議開始日16.11.2016
會議完結日18.11.2016
會議地點Macau
會議國家/地區中國
會議論文集題名Cloud Computing and Big Data (CCBD), 2016 7th International Conference on
出版年份2016
月份11
出版社IEEE
頁次138 - 144
國際標準書號978-1-5090-3556-4
電子國際標準書號978-1-5090-3555-7
語言美式英語
關鍵詞public transportation, smart city, travel recommendations, transportation disruptions, cloud platform, wearable devices, mobile applications, walking speed

上次更新時間 2020-25-11 於 01:13