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Intelligent Personalized Transport Alert System with Edge Computing

Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 715)


Most people’s lives are based on a repetitive routine. Despite this fact, people check information on traffic situations manually using their mobile applications every day. Also, inconveniences may be caused due to unexpected and constantly changing traffic situations that arise from a number of factors. Many services that provide information on traffic, weather, and transportation are available, but there isn’t a system that provides all this information at the same time. As a solution to this problem, we suggest a new notion called Intelligent Personalized Transport Alert System (IPTAS). IPTAS provides information on the transportation mode and the arrival time to users automatically via speech and text notification based on the user’s current location, time, date, weather, and traffic situation. Through IPTAS, convenience in daily life is enhanced, and more accurate information is given to the user.


  • Artificial intelligence system
  • Personalized system
  • Public data
  • Real-time android
  • Notification alert system

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  • DOI: 10.1007/978-981-15-9343-7_34
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This work was supported by Institute for Information and communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2018-0-01456, AutoMaTa: Autonomous Management framework based on artificial intelligent Technology for adaptive and disposable IoT)

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Correspondence to Hyolin Choi .

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Choi, H., Hong, J., Yoon, Y. (2021). Intelligent Personalized Transport Alert System with Edge Computing. In: Park, J.J., Fong, S.J., Pan, Y., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 715. Springer, Singapore.

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