Intelligent Personalized Transport Alert System with Edge Computing
  • Choi, Hyolin
  • Hong, Jiwon
  • Yoon, YongIk
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초록

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.

키워드

Artificial intelligence systemNotification alert systemPersonalized systemPublic dataReal-time androidEdge computingAlert systemsArrival timeDaily livesMobile applicationsNumber of factorsTraffic situationsTransportation modeUbiquitous computing
제목
Intelligent Personalized Transport Alert System with Edge Computing
저자
Choi, HyolinHong, JiwonYoon, YongIk
DOI
10.1007/978-981-15-9343-7_34
발행일
2021-01
유형
Conference Paper
저널명
Lecture Notes in Electrical Engineering
715
페이지
251 ~ 258