Publications

International Journals

• Choi, Seongjin, Donghoun Lee, Sari Kim and Sehyun Tak. “Framework for Connected and Automated Bus Rapid Transit with Sectionalized Speed Guidance Based on Deep Reinforcement Learning: Field Test in Sejong City.” Transportation Research Part C: Emerging Technologies, xxx, (2023) xxxxxx. [Accepted]
• Jin, Zhixiong, Jiwon Kim, Hwasoo Yeo, and Seongjin Choi. “Transformer-based map-matching model with limited labeled data using transfer-learning approach.” Transportation Research Part C: Emerging Technologies, 140, (2022) 103668. [corresponding author]
• Tak, Sehyun and Seongjin Choi. “Development of Safety Monitoring System of Connected and Automated Vehicles considering the Trade-off between Communication Efficiency and Data Reliability.” Sensors, 22(10), 3611 (2022). [corresponding author]
• Choi, Seongjin, Jiwon Kim, and Hwasoo Yeo. “TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning.” Transportation Research Part C: Emerging Technologies 128 (2021): 103091.
• Kim, Yeeun, Seongjin Choi, and Hwasoo Yeo. “Extended Urban Cell Transmission Model Using Agent-based Modeling.” Procedia Computer Science 170 (2020): 354-361.
• Lee, Donghoun, Sehyun Tak, Seongjin Choi, and Hwasoo Yeo. “Development of risk predictive collision avoidance system and its impact on traffic and vehicular safety.” Transportation research record 2673.7 (2019): 454-465.
• Kim, Yeeun, Seongjin Choi, Jihyuk Park, and Hwasoo Yeo. “Agent-based Mesoscopic Urban Traffic Simulation based on Multi-lane Cell Transmission Model.” Procedia Computer Science 151 (2019): 240-247.
• Choi, Seongjin, Jiwon Kim, and Hwasoo Yeo. “Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction.” arXiv preprint arXiv:1812.07151 (2018).
• Choi, Seongjin, Hwasoo Yeo, and Jiwon Kim. “Network-wide Vehicle Trajectory Prediction in Urban Traffic Networks Using Deep Learning” Transportation Research Record (2018).
• Choi, Seongjin, Jonghae Suh, and Hwasoo Yeo. “Microscopic Analysis of Climbing Lane Performance at Freeway Uphill Section.” Transportation Research Procedia 21 (2017): 98-109.

International Conferences

• Choi,Seongjin, and Jinwoo Lee. “Analytical Parking Planning Model with Shared Autonomous Vehicles” The 102nd Transportation Research Board Annual Meeting (January 2023).
• Lin Tengfeng, Seongjin Choi, Zhixiong Jin, and Hwasoo Yeo. “Evaluation of Pedestrian’s Potential Risk at Non-signalized Intersection Based on Predicted Post-Encroachment Time using Deep Learning Methods” The 102nd Transportation Research Board Annual Meeting (January 2023).
• Choi Seongjin, Nicolas Saunier, Martin Trepanier, and Lijun Sun. “Spatiotemporal Residual Regularization with Kronecker Product Structure for Traffic Forecasting.” Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems (December 2022).
• Choi, Seongjin, Hwasoo Yeo, and Jiwon Kim. Network-wide Vehicle Trajectory Prediction in Urban Traffic Networks Using Deep Learning. The 99th Transportation Annual Meeting (January 2020).
• Choi, Seongjin, Jiwon Kim, Hwapyeong Yu, and Hwasoo Yeo. “Real-time Prediction of Arterial Vehicle Trajectories: An Application to Predictive Route Guidance for an * Emergency Vehicle.” 2019 IEEE Intelligent Transportation Systems Conference (ITSC). IEEE, (January 2019).
• Kim, Yeeun, Seongjin Choi, Jihyuk Park, and Hwasoo Yeo. Agent-based Mesoscopic Urban Traffic Simulation based on Multi-lane Cell Transmission Model. The 10th International Conference on Ambient Systems, Networks and Technologies. Acadia University, (May 2019).
• Choi, Seongjin, Jiwon Kim, and Hwasoo Yeo. Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction. The 10th International Conference on Ambient Systems, Networks and Technologies. Acadia University, (May 2019).
• Lee, Donghoun, Sehyun Tak, Seongjin Choi, and Hwasoo Yeo. Development of risk predictive collision avoidance system and its impact on traffic and vehicular safety. The 98th Transportation Annual Meeting (January 2019).
• Kim, Yeeun, Seongjin Choi, and Hwasoo Yeo. Incorporation of Driver Distraction in Car-following model based on Driver’s Eye Glance Behavior. 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, (October 2018).
• Choi, Seongjin, Hwasoo Yeo, and Jiwon Kim. Network-wide Vehicle Trajectory Prediction in Urban Traffic Networks Using Deep Learning. The 97th Transportation Annual Meeting (January 2018).
• Choi, Seongjin, Sehyun Tak, Jihu Kim, and Hwasoo Yeo. Traffic Event Classification using Convolutional Neural Network. The 30th KKHTCNN Symposium on Civil Engineering (November 2017).
• Tak, Sehyun, Hwasoo Yeo, Yeeun Kim and Seongjin Choi. A Study on the Dynamics of Driver Vision Transitions and its Impacts on Vehicle Safety. 10th SHRP 2 Safety Data-Symposium: From Analysis to Results (October 2017)
• Tak, Sehyun, Donghoun Lee, Seongjin Choi, and Hwasoo Yeo. Collision Avoidance System with Uni-directional Communication for Mitigating the Adverse Effects on Following Vehicles. Urban Transport 2017 (September 2017)
• Choi, Seongjin, and Hwasoo Yeo. Framework for simulation-based lane change control for autonomous vehicles. Intelligent Vehicles Symposium (IV), 2017 IEEE (June 2017).
• Tak, Sehyun, Seongjin Choi, Donghoun Lee, and Hwasoo Yeo. A Comparison Analysis of Track-Based Train Operation System and Communication-Based Train Operation System for Train Safety. The 96th Transportation Research Board Annual Meeting (January 2017).
• Tak, Sehyun, Seongjin Choi, and Hwasoo Yeo. The Effect of Communication and GPS Uncertainty on Safety Performance of Communication-based Train Control. The 1st Asian Conference on Railway Infrastructure and Transportation, 359 (October 2016).
• Choi, Seongjin, Jonghae Suh, and Hwasoo Yeo. Microscopic Analysis of Climbing Lane Performance at Freeway Uphill Section. 2016 International Symposium of Transport Simulation (June 2016)

Domestic Journals

• Choi, Seongjin, Jiwon Kim, Hwapyeong Yu, Dongho Ka, and Hwasoo Yeo. “Deep-learning based urban vehicle trajectory prediction.” Journal of Korean Society of Transportation 37.5 (2019): 422-429.
• Kim, Yeeun, Seongjin Choi, and Hwasoo Yeo. “A study on development of a car-following model for accident simulation caused by driver distraction.” Journal of Korean Society of Transportation 37.1 (2019): 39-50.

Domestic Conferences

• 김지후, 최성진, and 여화수. “교통 상황 데이터를 이용한 딥러닝 기반의 교통사고 분류 시스템 개발.” 한국 ITS 학회 학술대회 (2018): 738-742.