Space-Based Passing Time Estimation on a Freeway Using Cell Phones as Traffic Probes. - Keemin Sohn; Keeyeon Hwang (IEEE Trans. Intell. Transp. Syst., 2008)

Dynamic Origin-Destination Flow Estimation Using Cellular Communication System. - Keemin Sohn; Daehyun Kim (IEEE Trans. Veh. Technol., 2008)

Optimizing Train-Stop Positions Along a Platform to Distribute the Passenger Load More Evenly Across Individual Cars. - Keemin Sohn (IEEE Trans. Intell. Transp. Syst., 2013)

A novel heuristics optimization inspired by the Lorentz transformation. - Kee-Sun Sohn; Keemin Sohn (ICNC, 2015)

Deep-Learning Architectures to Forecast Bus Ridership at the Stop and Stop-To-Stop Levels for Dense and Crowded Bus Networks. - Junghan Baek; Keemin Sohn (Appl. Artif. Intell., 2016)

An Expectation-Maximization Algorithm to Estimate the Integrated Choice and Latent Variable Model. - Keemin Sohn (Transp. Sci., 2017)

Artificial intelligence for traffic signal control based solely on video images. - Hyunjeong Jeon; Jincheol Lee; Keemin Sohn (J. Intell. Transp. Syst., 2018)

Image-Based Learning to Measure Traffic Density Using a Deep Convolutional Neural Network. - Jiyong Chung; Keemin Sohn (IEEE Trans. Intell. Transp. Syst., 2018)

Image-Based Learning to Measure the Stopped Delay in an Approach of a Signalized Intersection. - Johyun Shin; Seungbin Roh; Keemin Sohn (IEEE Access, 2019)

Image-Based Learning to Measure the Space Mean Speed on a Stretch of Road without the Need to Tag Images with Labels. - Jincheol Lee; Seungbin Roh; Johyun Shin; Keemin Sohn (Sensors, 2019)

Image-to-Image Learning to Predict Traffic Speeds by Considering Area-Wide Spatio-Temporal Dependencies. - Dohyoung Jo; Byeonghyeop Yu; Hyunjeong Jeon; Keemin Sohn (IEEE Trans. Veh. Technol., 2019)

Multi-regime analysis for computer vision-based traffic surveillance using a change-point detection algorithm. - Seungyun Jeong; Keemin Sohn (CoRR, 2020)

Reinforcement Learning for Joint Control of Traffic Signals in a Transportation Network. - Jincheol Lee; Jiyong Chung; Keemin Sohn (IEEE Trans. Veh. Technol., 2020)

Multi-Regime Analysis for Computer Vision- Based Traffic Surveillance Using a Change-Point Detection Algorithm. - Seungyun Jeong; Seungbin Roh; Keemin Sohn (IEEE Access, 2021)

Non-Anchor-Based Vehicle Detection for Traffic Surveillance Using Bounding Ellipses. - Byeonghyeop Yu; Johyun Shin; Gyeongjun Kim; Seungbin Roh; Keemin Sohn (IEEE Access, 2021)

Predicting Short-Term Traffic Speed Using a Deep Neural Network to Accommodate Citywide Spatio-Temporal Correlations. - Yongjin Lee; Hyunjeong Jeon; Keemin Sohn (IEEE Trans. Intell. Transp. Syst., 2021)

Area-wide traffic signal control based on a deep graph Q-Network (DGQN) trained in an asynchronous manner. - Gyeongjun Kim; Keemin Sohn (Appl. Soft Comput., 2022)

A meta-reinforcement learning algorithm for traffic signal control to automatically switch different reward functions according to the saturation level of traffic flows. - Gyeongjun Kim; Jiwon Kang; Keemin Sohn (Comput. Aided Civ. Infrastructure Eng., 2023)

Training a Regression-Based Model for Crowd Counting in Transit Cars Using Ranked Image Pairs and Triplets. - Hojun Lee; Kyeongjun Lee; Jiwon Kang; Keemin Sohn (IEEE Access, 2024)

Simultaneous Optimization of Traffic Signal Control and Vehicle Platooning Scheme Based on Connected and Automated Vehicle (CAV) Technology. - Jiwon Kang; Yongjun Choi; Keemin Sohn (IEEE Access, 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. - Chaewon Kwon; Gyeongjun Kim; Keemin Sohn (Eng. Appl. Artif. Intell., 2025)