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http://dx.doi.org/10.9717/kmms.2018.21.5.599

Design and Implementation of an Urban Safety Service System Using Realtime Weather and Atmosphere Data  

Hwang, Hyunsuk (Technical Research Center, New Communication Infotech Co., Ltd.)
Seo, Youngwon (Technical Research Center, New Communication Infotech Co., Ltd.)
Jeon, Taegun (Technical Research Center, New Communication Infotech Co., Ltd.)
Kim, Changsoo (Department of IT Convergence and Application Engineering, PuKyong National University)
Publication Information
Journal of Korea Multimedia Society / v.21, no.5, 2018 , pp. 599-608 More about this Journal
Abstract
As natural disasters are increasing due to the unusual weather and the modern society is getting complicated, the rapid change of the urban environment has increased human disasters. Thus, citizens are becoming more anxious about social safety. The importance of preparation for safety has been suggested by providing the disaster safety services such as regional safety index, life safety map, and disaster safety portal application. In this paper, we propose an application framework to predict the urban safety index based on user's location with realtime weather/atmosphere data after creating a predication model based on the machine learning using number of occurrence cases and weather/atmosphere history data. Also, we implement an application to provide traffic safety index with executing preprocessing occurrence cases of traffic and weather/atmosphere data. The existing regional safety index, which is displayed on the Si-gun-gu area, has been mainly utilized to establish safety plans for districts vulnerable to national policies on safety. The proposed system has an advantage to service useful information to citizens by providing urban safety index based on location of interests and current position with realtime related data.
Keywords
Urban Safety Service Model; Big Data Analysis; Regional Safety Index; Machine Learning Algorithm;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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