Keemin Sohn

发表

Optimizing Train-Stop Positions Along a Platform to Distribute the Passenger Load More Evenly Across Individual Cars

Keemin Sohn, Keemin Sohn, 2013, IEEE Transactions on Intelligent Transportation Systems.

CONSTRUCTION OF REALISTIC ROUTE CHOICE SETS USING MULTI-LABEL VINE-BUILDING FOR REAL-TIME TRAVELER INFORMATION PROVISION

J. Yu, Ikki Kim, Keemin Sohn, 2005 .

Facilitating an expectation-maximization (EM) algorithm to solve an integrated choice and latent variable (ICLV) model with fully correlated latent variables

Jaeyoung Jung, Keemin Sohn, Dasol Chae, 2017 .

Special issue on smart cities and its applications

Keemin Sohn, Dongjoo Park, Seokjoo Shin, 2022, ETRI Journal.

Calibrating a social-force-based pedestrian walking model based on maximum likelihood estimation

Keemin Sohn, Moonsoo Ko, Taewan Kim, 2012, Transportation.

Separation of car-dependent commuters from normal-choice riders in mode-choice analysis

Keemin Sohn, Jiyoung Yun, Keemin Sohn, 2009 .

Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (GCN)

Byeonghyeop Yu, Keemin Sohn, Yongjin Lee, 2020 .

Clustering the seoul metropolitan area by travel patterns based on a deep belief network

Keemin Sohn, Gain Han, Keemin Sohn, 2016, 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC).

Increasing the number of bicycle commuters

Keemin Sohn, Hyochul Park, Keemin Sohn, 2012 .

Image-Based Learning to Measure Traffic Density Using a Deep Convolutional Neural Network

Keemin Sohn, Jiyong Chung, Jiyong Chung, 2018, IEEE Transactions on Intelligent Transportation Systems.

Transportation Deficiencies for Older Adults in Seoul, South Korea

Keemin Sohn, Gudmundur F. Ulfarsson, Joon-Ki Kim, 2014 .

Predicting Short-Term Traffic Speed Using a Deep Neural Network to Accommodate Citywide Spatio-Temporal Correlations

Keemin Sohn, Yongjin Lee, Hyunjeong Jeon, 2020, IEEE Transactions on Intelligent Transportation Systems.

Image-to-Image Learning to Predict Traffic Speeds by Considering Area-Wide Spatio-Temporal Dependencies

Byeonghyeop Yu, Keemin Sohn, Dohyoung Jo, 2019, IEEE Transactions on Vehicular Technology.

Identifying the Impact on Land Prices of Replacing At-grade or Elevated Railways with Underground Subways in the Seoul Metropolitan Area

Keemin Sohn, Keemin Sohn, Jaewoo Lee, 2014 .

Zonal centrality measures and the neighborhood effect

Keemin Sohn, Keemin Sohn, Daehyun Kim, 2010 .

Factors generating boardings at Metro stations in the Seoul metropolitan area

Keemin Sohn, Hyunjin Shim, Keemin Sohn, 2010 .

Activity imputation for trip-chains elicited from smart-card data using a continuous hidden Markov model

Keemin Sohn, Gain Han, Keemin Sohn, 2016 .

Calibrating a social-force-based pedestrian walking model based on maximum likelihood estimation

Keemin Sohn, Keemin Sohn, Moonsoo Ko, 2013 .

Image-Based Learning to Measure the Space Mean Speed on a Stretch of Road without the Need to Tag Images with Labels

Johyun Shin, Seungbin Roh, Keemin Sohn, 2019, Sensors.

A systematic decision criterion for the elimination of useless overpasses

Keemin Sohn, Keemin Sohn, 2008 .

Identifying driver heterogeneity in car-following based on a random coefficient model

Ikki Kim, Taewan Kim, Keemin Sohn, 2013 .

Dynamic Origin–Destination Flow Estimation Using Cellular Communication System

Daehyun Kim, Keemin Sohn, Keemin Sohn, 2008, IEEE Transactions on Vehicular Technology.

An analysis of Metro ridership at the station-to-station level in Seoul

Keemin Sohn, Jinkyung Choi, Keemin Sohn, 2012 .

Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner pdf

Gyeongjun Kim, Keemin Sohn, Keemin Sohn, 2020, Appl. Soft Comput..

Reinforcement Learning for Joint Control of Traffic Signals in a Transportation Network

Keemin Sohn, Jincheol Lee, Jiyong Chung, 2020, IEEE Transactions on Vehicular Technology.

Artificial intelligence for traffic signal control based solely on video images

Keemin Sohn, Jincheol Lee, Hyunjeong Jeon, 2018, J. Intell. Transp. Syst..

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

Keemin Sohn, Minseo Lee, Keemin Sohn, 2015 .

Non-Anchor-Based Vehicle Detection for Traffic Surveillance Using Bounding Ellipses

Byeonghyeop Yu, Johyun Shin, Gyeongjun Kim, 2020, IEEE Access.

Deep-learning architecture to forecast destinations of bus passengers from entry-only smart-card data

Keemin Sohn, Jaeyoung Jung, Jaeyoung Jung, 2017 .

A meta–reinforcement learning algorithm for traffic signal control to automatically switch different reward functions according to the saturation level of traffic flows

Keemin Sohn, Gyeongjun Kim, Jiwon Kang, 2022, Comput. Aided Civ. Infrastructure Eng..

Why do passengers choose a specific car of a metro train during the morning peak hours

Keemin Sohn, Hyunmi Kim, Seung Kook Wu, 2014 .

Trajectory-Based Embedding for Random Coefficients of a Theory-Based Car-Following Model

Keemin Sohn, Yeseul Kang, Seunyun Jeong, 2022, SSRN Electronic Journal.

Multi-Regime Analysis for Computer Vision- Based Traffic Surveillance Using a Change-Point Detection Algorithm pdf

Keemin Sohn, Seungyun Jeong, Keemin Sohn, 2020, IEEE Access.

An investigation into passenger preference for express trains during peak hours

Keemin Sohn, Junghan Baek, Keemin Sohn, 2016 .

Imputing qualitative attributes for trip chains extracted from smart card data using a conditional generative adversarial network

Dong‐Kyu Kim, Keemin Sohn, Eui-Jin Kim, 2022, Transportation Research Part C: Emerging Technologies.

Feature Mapping the Seoul Metro Station Areas Based on a Self-Organizing Map

Keemin Sohn, Keemin Sohn, 2013 .

An analysis of Metro ridership at the station-to-station level in Seoul

Keemin Sohn, Yong Jae Lee, J. Choi, 2011, Transportation.

Analyzing the time frame for the transition from leisure-cyclist to commuter-cyclist

Keemin Sohn, Hee Cheol Shin, Hyochul Park, 2011 .

Multi-objective optimization of a road diet network design

Keemin Sohn, Keemin Sohn, 2011 .

Non-Anchor-Based Vehicle Detection for Traffic Surveillance Using Bounding Ellipses pdf

Byeonghyeop Yu, Johyun Shin, Gyeongjun Kim, 2020, IEEE Access.

Training a Regression-Based Model for Crowd Counting in Transit Cars Using Ranked Image Pairs and Triplets

Keemin Sohn, Jiwon Kang, Hojun Lee, 2024, IEEE Access.

Variational embedding of a hidden Markov model to generate human activity sequences

Keemin Sohn, Jincheol Lee, Seungyun Jeong, 2021 .

An Expectation-Maximization Algorithm to Estimate the Integrated Choice and Latent Variable Model

Keemin Sohn, Keemin Sohn, 2017, Transp. Sci..