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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AbstractWe 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.
All Author(s) ListVincent T.F. Chow , Ka Wing Sung, Helen M. Meng, Ka Ho Wong, Gary KS Leung, Yong-Hong Kuo, Kelvin K.F. Tsoi
Name of ConferenceThe 7th International Conference on Cloud Computing and Big Data (CCBD)
Start Date of Conference16/11/2016
End Date of Conference18/11/2016
Place of ConferenceMacau
Country/Region of ConferenceChina
Proceedings TitleCloud Computing and Big Data (CCBD), 2016 7th International Conference on
Year2016
Month11
PublisherIEEE
Pages138 - 144
ISBN978-1-5090-3556-4
eISBN978-1-5090-3555-7
LanguagesEnglish-United States
Keywordspublic transportation, smart city, travel recommendations, transportation disruptions, cloud platform, wearable devices, mobile applications, walking speed

Last updated on 2020-31-03 at 02:09