Obserwuj
Keemin Sohn (손기민)
Keemin Sohn (손기민)
Chung-Ang University (중앙대학교)
Zweryfikowany adres z cau.ac.kr - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Factors generating boardings at Metro stations in the Seoul metropolitan area
K Sohn, H Shim
Cities 27 (5), 358-368, 2010
2162010
Classification of crystal structure using a convolutional neural network
WB Park, J Chung, J Jung, K Sohn, SP Singh, M Pyo, N Shin, KS Sohn
IUCrJ 4 (4), 486-494, 2017
1962017
An analysis of Metro ridership at the station-to-station level in Seoul
J Choi, YJ Lee, T Kim, K Sohn
Transportation 39, 705-722, 2012
1772012
Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (GCN)
B Yu, Y Lee, K Sohn
Transportation research part C: emerging technologies 114, 189-204, 2020
1692020
Dynamic origin–destination flow estimation using cellular communication system
K Sohn, D Kim
IEEE Transactions on Vehicular Technology 57 (5), 2703-2713, 2008
1412008
Image-based learning to measure traffic density using a deep convolutional neural network
J Chung, K Sohn
IEEE Transactions on Intelligent Transportation Systems 19 (5), 1670-1675, 2017
1102017
Activity imputation for trip-chains elicited from smart-card data using a continuous hidden Markov model
G Han, K Sohn
Transportation Research Part B: Methodological 83, 121-135, 2016
992016
Why do passengers choose a specific car of a metro train during the morning peak hours?
H Kim, S Kwon, SK Wu, K Sohn
Transportation research part A: policy and practice 61, 249-258, 2014
822014
Deep-learning architecture to forecast destinations of bus passengers from entry-only smart-card data
J Jung, K Sohn
IET Intelligent Transport Systems 11 (6), 334-339, 2017
802017
Space-based passing time estimation on a freeway using cell phones as traffic probes
K Sohn, K Hwang
IEEE Transactions on Intelligent Transportation Systems 9 (3), 559-568, 2008
662008
Separation of car-dependent commuters from normal-choice riders in mode-choice analysis
K Sohn, J Yun
Transportation 36, 423-436, 2009
602009
An extremely simple macroscale electronic skin realized by deep machine learning.
KS Sohn, J Chung, MY Cho, S Timilsina, WB Park, M Pyo, N Shin, K Sohn, ...
Scientific reports 7 (1), 11061, 2017
592017
Calibrating a social-force-based pedestrian walking model based on maximum likelihood estimation
M Ko, T Kim, K Sohn
Transportation 40, 91-107, 2013
572013
Multi-objective optimization of a road diet network design
K Sohn
Transportation research part A: policy and practice 45 (6), 499-511, 2011
522011
Image-to-image learning to predict traffic speeds by considering area-wide spatio-temporal dependencies
D Jo, B Yu, H Jeon, K Sohn
IEEE Transactions on Vehicular Technology 68 (2), 1188-1197, 2018
512018
Inferring the route-use patterns of metro passengers based only on travel-time data within a Bayesian framework using a reversible-jump Markov chain Monte Carlo (MCMC) simulation
M Lee, K Sohn
Transportation Research Part B: Methodological 81, 1-17, 2015
472015
Analyzing the time frame for the transition from leisure-cyclist to commuter-cyclist
H Park, YJ Lee, HC Shin, K Sohn
Transportation 38, 305-319, 2011
432011
Artificial intelligence for traffic signal control based solely on video images
H Jeon, J Lee, K Sohn
Journal of intelligent transportation systems 22 (5), 433-445, 2018
412018
Identifying driver heterogeneity in car-following based on a random coefficient model
I Kim, T Kim, K Sohn
Transportation research part C: emerging technologies 36, 35-44, 2013
412013
Reinforcement learning for joint control of traffic signals in a transportation network
J Lee, J Chung, K Sohn
IEEE Transactions on Vehicular Technology 69 (2), 1375-1387, 2019
382019
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