Inhi Kim

27 papers Journal 10Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evaluation of Pedestrian Future Conflict at Non-Signalized Intersections Based on Probabilistic Trajectory Prediction.
IEEE Trans. Intell. Transp. Syst.
Tengfeng Lin, Zhixiong Jin, Hwasoo Yeo, Inhi Kim
2026 J jnl
Sequential decomposition and attribution for trajectory forecasting.
Knowl. Based Syst.
Yonghui Liu, Inhi Kim
2025 — conf
A Generalizable Semantic Graph Learning Framework for Road Network Representation.
ITSC
Yonghui Liu, Inhi Kim
2025 — conf
Cross-Taxonomy Label Alignment in Transportation Networks With Prompt-Driven Large Language Models.
ITSC
Yonghui Liu, Inhi Kim
2025 — conf
E-Scooter Alarm Warning System for Pothole Detection: A Simulation Study.
ITSC
Hui Zhi Ng, Jaehyuck Lim, Taeho Oh, Inhi Kim
2025 — conf
The Impact of Head-Up Display Warnings on Aggressive Driving: Visual and Behavior Insights.
ITSC
Jaehyuck Lim, Shinhyoung Park, Inhi Kim
2025 — conf
Understanding the Impact of Environmental and Rider Factors on Scooter Safety: A Virtual Reality Study.
ITSC
Kexin Zhu, Inhi Kim, Taeho Oh, Shinhyoung Park
2023 J jnl
A UWB/INS Trajectory Tracking System Application in a Cycling Safety Study.
Sensors
Sicong Zhu, Hao Yue, Tatsuto Suzuki, Inhi Kim, Lei Yu, Qing Lan
2023 — conf
Analyzing the Impact of Autonomous Vehicles on Urban Traffic Flow at the Large Scale Network Using Real-World Data.
ITSC
Hyeokjun Jang, Inhi Kim, Shinhyoung Park, Kitae Jang
2023 — conf
Deep Reinforcement Learning Based Traffic Signal Control: A Comparative Analysis.
ANT/EDI40
Chunliang Wu, Inhi Kim, Zhenliang Ma
2023 J jnl
Distributional prediction of short-term traffic using neural networks.
Eng. Appl. Artif. Intell.
Bo Wang, Hai Le Vu, Inhi Kim, Chen Cai
2023 — conf
Impact on Platooning of Autonomous Vehicles using Macro to Micro simulations.
ANT/EDI40
Yegi Yoo, Tiantian Chen, Kitae Jang, Inhi Kim
2023 — conf
Open-sourced real-time visualization platform for traffic simulation.
ANT/EDI40
Jaeeun Jung, Taeho Oh, Inhi Kim, Shinhyoung Park
2022 J jnl
Short-term traffic flow prediction in bike-sharing networks.
J. Intell. Transp. Syst.
Bo Wang, Hai Le Vu, Inhi Kim, Chen Cai
2022 J jnl
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.
CoRR
Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai Le Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
2021 J jnl
Revealing the hidden features in traffic prediction via entity embedding.
Pers. Ubiquitous Comput.
Bo Wang, Khaled Shaaban, Inhi Kim
2021 J jnl
Traffic4cast - Large-scale Traffic Prediction using 3DResNet and Sparse-UNet.
CoRR
Bo Wang, Reza Mohajerpoor, Chen Cai, Inhi Kim, Hai Le Vu
2021 — conf
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes.
NeurIPS (Competition and Demos)
Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang, Hai Le Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
2020 J jnl
Applications of brain imaging methods in driving behaviour research.
CoRR
Milad Haghani, Michiel C. J. Bliemer, Bilal Farooq, Inhi Kim, Zhibin Li, Cheol Oh, Zahra Shahhoseini, Hamish MacDougall
2020 — conf
Multi-Agent Reinforcement Learning for Traffic Signal Control: Algorithms and Robustness Analysis.
ITSC
Chunliang Wu, Zhenliang Ma, Inhi Kim
2020 — conf
Queue Discharge at Freeway On-Ramps Using Coordinated Operation of a Ramp Meter and an Upstream Traffic Signal.
ANT/EDI40
Khaled Shaaban, Muhammad Asif Khan, Inhi Kim, Ridha Hamila
2020 — conf
Revealing Mobility Regularities in Urban Rail Systems.
ANT/EDI40
Wenhua Jiang, Zhenliang Ma, Inhi Kim, Seonha Lee
2019 J jnl
Analysis of the Influencing Factors of Carpooling Schemes.
IEEE Intell. Transp. Syst. Mag.
Kai Huang, Zhiyuan Liu, Inhi Kim, Yong Zhang, Ting Zhu
2019 — conf
Reveal the hidden layer via entity embedding in traffic prediction.
ANT/EDI40
Bo Wang, Khaled Shaaban, Inhi Kim
2018 — conf
Driver Behaviors at Level Crossings from Fixed and Moving Driving Simulators.
ANT/SEIT
Inhi Kim, Grégoire S. Larue, Luis Ferreira, Andry Rakotonirainy, Khaled Shaaban
2017 — conf
Evaluation of Large Signalized Intersection with New Pedestrians Twice Crossing.
ANT/SEIT
Chaoqun Song, Inhi Kim, Qiaojun Xiang
2015 — conf
Comparison of SimTraffic and VISSIM Microscopic Traffic Simulation Tools in Modeling Roundabouts.
ANT/SEIT
Khaled Shaaban, Inhi Kim