Utilizing real-time travel information, mobile applications and wearable devices for smart public transportation

Abstract

© 2016 IEEE. 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.