Keemin Sohn
Orcid: 0000-0002-7270-7094
According to our database1,
Keemin Sohn
authored at least 21 papers
between 2008 and 2025.
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Collaborative distances:
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Bibliography
2025
A graph convolutional neural network that dynamically adapts its architecture to input data at inference time to predict the short-term states of traffic.
Eng. Appl. Artif. Intell., 2025
Simultaneous Optimization of Traffic Signal Control and Vehicle Platooning Scheme Based on Connected and Automated Vehicle (CAV) Technology.
IEEE Access, 2025
2024
Training a Regression-Based Model for Crowd Counting in Transit Cars Using Ranked Image Pairs and Triplets.
IEEE Access, 2024
2023
A meta-reinforcement learning algorithm for traffic signal control to automatically switch different reward functions according to the saturation level of traffic flows.
Comput. Aided Civ. Infrastructure Eng., April, 2023
2022
Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner.
Appl. Soft Comput., 2022
2021
Predicting Short-Term Traffic Speed Using a Deep Neural Network to Accommodate Citywide Spatio-Temporal Correlations.
IEEE Trans. Intell. Transp. Syst., 2021
IEEE Access, 2021
Multi-Regime Analysis for Computer Vision- Based Traffic Surveillance Using a Change-Point Detection Algorithm.
IEEE Access, 2021
2020
Reinforcement Learning for Joint Control of Traffic Signals in a Transportation Network.
IEEE Trans. Veh. Technol., 2020
Multi-regime analysis for computer vision-based traffic surveillance using a change-point detection algorithm.
CoRR, 2020
2019
Image-to-Image Learning to Predict Traffic Speeds by Considering Area-Wide Spatio-Temporal Dependencies.
IEEE Trans. Veh. Technol., 2019
Image-Based Learning to Measure the Space Mean Speed on a Stretch of Road without the Need to Tag Images with Labels.
Sensors, 2019
Image-Based Learning to Measure the Stopped Delay in an Approach of a Signalized Intersection.
IEEE Access, 2019
2018
Image-Based Learning to Measure Traffic Density Using a Deep Convolutional Neural Network.
IEEE Trans. Intell. Transp. Syst., 2018
J. Intell. Transp. Syst., 2018
2017
An Expectation-Maximization Algorithm to Estimate the Integrated Choice and Latent Variable Model.
Transp. Sci., 2017
2016
Deep-Learning Architectures to Forecast Bus Ridership at the Stop and Stop-To-Stop Levels for Dense and Crowded Bus Networks.
Appl. Artif. Intell., 2016
2015
Proceedings of the 11th International Conference on Natural Computation, 2015
2013
Optimizing Train-Stop Positions Along a Platform to Distribute the Passenger Load More Evenly Across Individual Cars.
IEEE Trans. Intell. Transp. Syst., 2013
2008
IEEE Trans. Veh. Technol., 2008
Space-Based Passing Time Estimation on a Freeway Using Cell Phones as Traffic Probes.
IEEE Trans. Intell. Transp. Syst., 2008