Comparison of SimTraffic and VISSIM Microscopic Traffic Simulation Tools in Modeling Roundabouts. - Khaled Shaaban; Inhi Kim (ANT/SEIT, 2015)

Evaluation of Large Signalized Intersection with New Pedestrians Twice Crossing. - Chaoqun Song; Inhi Kim; Qiaojun Xiang (ANT/SEIT, 2017)

Driver Behaviors at Level Crossings from Fixed and Moving Driving Simulators. - Inhi Kim; Grégoire S. Larue; Luis Ferreira; Andry Rakotonirainy; Khaled Shaaban (ANT/SEIT, 2018)

Reveal the hidden layer via entity embedding in traffic prediction. - Bo Wang 121; Khaled Shaaban; Inhi Kim (ANT/EDI40, 2019)

Analysis of the Influencing Factors of Carpooling Schemes. - Kai Huang; Zhiyuan Liu 002; Inhi Kim; Yong Zhang 011; Ting Zhu (IEEE Intell. Transp. Syst. Mag., 2019)

Revealing Mobility Regularities in Urban Rail Systems. - Wenhua Jiang; Zhenliang Ma; Inhi Kim; Seonha Lee (ANT/EDI40, 2020)

Queue Discharge at Freeway On-Ramps Using Coordinated Operation of a Ramp Meter and an Upstream Traffic Signal. - Khaled Shaaban; Muhammad Asif Khan 001; Inhi Kim; Ridha Hamila (ANT/EDI40, 2020)

Multi-Agent Reinforcement Learning for Traffic Signal Control: Algorithms and Robustness Analysis. - Chunliang Wu; Zhenliang Ma; Inhi Kim (ITSC, 2020)

Applications of brain imaging methods in driving behaviour research. - Milad Haghani; Michiel C. J. Bliemer; Bilal Farooq; Inhi Kim; Zhibin Li; Cheol Oh; Zahra Shahhoseini; Hamish MacDougall (CoRR, 2020)

Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. - Christian Eichenberger; Moritz Neun; Henry Martin; Pedro Herruzo; Markus Spanring; Yichao Lu; Sungbin Choi; Vsevolod Konyakhin; Nina Lukashina; Aleksei Shpilman; Nina Wiedemann; Martin Raubal; et al. (NeurIPS (Competition and Demos), 2021)

Traffic4cast - Large-scale Traffic Prediction using 3DResNet and Sparse-UNet. - Bo Wang 121; Reza Mohajerpoor; Chen Cai; Inhi Kim; Hai L. Vu (CoRR, 2021)

Revealing the hidden features in traffic prediction via entity embedding. - Bo Wang 121; Khaled Shaaban; Inhi Kim (Pers. Ubiquitous Comput., 2021)

Short-term traffic flow prediction in bike-sharing networks. - Bo Wang 121; Hai Le Vu; Inhi Kim; Chen Cai (J. Intell. Transp. Syst., 2022)

Open-sourced real-time visualization platform for traffic simulation. - Jaeeun Jung; Taeho Oh; Inhi Kim; Shinhyoung Park (ANT/EDI40, 2023)

Deep Reinforcement Learning Based Traffic Signal Control: A Comparative Analysis. - Chunliang Wu; Inhi Kim; Zhenliang Ma (ANT/EDI40, 2023)

Impact on Platooning of Autonomous Vehicles using Macro to Micro simulations. - Yegi Yoo; Tiantian Chen; Kitae Jang; Inhi Kim (ANT/EDI40, 2023)

Analyzing the Impact of Autonomous Vehicles on Urban Traffic Flow at the Large Scale Network Using Real-World Data. - Hyeokjun Jang; Inhi Kim; Shinhyoung Park; Kitae Jang (ITSC, 2023)

A UWB/INS Trajectory Tracking System Application in a Cycling Safety Study. - Sicong Zhu; Hao Yue; Tatsuto Suzuki; Inhi Kim; Lei Yu; Qing Lan (Sensors, 2023)

Distributional prediction of short-term traffic using neural networks. - Bo Wang 121; Hai L. Vu; Inhi Kim; Chen Cai (Eng. Appl. Artif. Intell., 2023)