Intelligent Personalized Transport Alert System with Edge Computing
- Authors
- Choi, Hyolin; Hong, Jiwon; Yoon, Yongik
- Issue Date
- Jan-2021
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Keywords
- Artificial intelligence system; Notification alert system; Personalized system; Public data; Real-time android
- Citation
- Lecture Notes in Electrical Engineering, v.715, pp 251 - 258
- Pages
- 8
- Journal Title
- Lecture Notes in Electrical Engineering
- Volume
- 715
- Start Page
- 251
- End Page
- 258
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/146850
- DOI
- 10.1007/978-981-15-9343-7_34
- ISSN
- 1876-1100
- Abstract
- 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. © 2021, Springer Nature Singapore Pte Ltd.
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