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Big Data 2019 American Journal of Computer Science and Information Technology
ISSN: 2349-3917 Page 20
March 04-05, 2019
Barcelona, Spain
8th Edition of International Conference on
Big Data &
Data Science
The floating population is useful to figure out dynamic
activities in urban area. Therefore, the prediction of
floating population is required to practical use in urban
and transportation planning. In Korea, the hourly floating
population is estimated based on communication log of
mobile phone. The communication log contains contents such
as communication location, origin of mobile phone user. This
paper is aimed to predict hourly floating population using
mobile phone data, macroscopic data such as socioeconomic
index, and several data mining techniques. The data collected
in Seoul, the capital of South Korea, is used in this study. Also,
the prediction accuracy by data mining technique is compared
with each other, and the best model to predict hourly floating
population is proposed in this study.
Recent Publications
1. Ho-Chan K and Seungyoung K (2016) Predicting
crash risk and identifying crash precursors on Korean
expressways using loop detector data. Accident
Analysis and Prevention 88:9-19.
2. Ho-Chan K, Dong-Kyu K, Seungyoung K and Chungwon
L (2014) A crash prediction model for expressways
using genetic programming. Journal of Korean Society
of Transportation 32(4):369-379.
Biography
Ho-Chan Kwak has completed his PhD at Seoul National University (SNU)
and Postdoctoral studies in the Institute of Construction and Environmental
Engineering at SNU. He is the Senior Researcher at Korea Railroad Research
Institute (KRRI), a government-funded transportation science and technolo-
gy research organization. He has studied in the fields of transportation big
data (such as smart card data and mobile phone data etc.) analysis and ap-
plication in order to improve the quality of mobility through future transpor-
tation technology. He has published more than 10 papers in transportation
planning and safety related journals and performed more than 30 projects
related in transportation engineering.
Ho-Chan Kwak and Jiyoung Song
Korea Railroad Research Institute, South Korea
Ho-Chan Kwak et al., Am J Compt Sci Inform Technol 2019, Volume 7
DOI: 10.21767/2349-3917-C1-008
Prediction of hourly floating population based
on mobile phone data in Korea