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TUPA researchers Kim Min, Baek Songmi, and Dr. Chun Kyunghoon have won the Traffic Research Society Chairman’s Award at the ‘2023 Metropolitan Area Transportation Innovation Competition,’ sponsored by the Ministry of Land, Infrastructure and Transport Metropolitan Area Transportation Committee (hereinafter referred to as the Committee), and jointly organized by the Railway Research Institute and the Korean Society of Transportation.
The prize money is 1.5 million won.
Related article:https://www.krri.re.kr/web/contents/krri030202.do?id=22405&schM=view
I am thrilled that most sessions in our 1st summer camp sessions on the Jeju campus of Korea Advanced Institute of Science and Technology from 19th June to 14th July 2023 are shared with you all today.
The topics are very diverse. Please drop by if you would like to attend any of the 18 workshops. (PS: some videos are not uploaded until their research outcomes are published. They will be uploaded as soon as they are published)
Jang Kitae, Tiantian CHEN, Jinwoo Lee, and I really appreciate our fantastic speakers who are willing to share their talks with the public.
We have already been planning to have 2nd summer camp in 2024. Please stay tuned!!
Majid Sarvi (The University of Melbourne), Tony Sze (Hong Kong Polytechnic University), Graham Currie FTSE (Monash University), Xiaobo Qu (Tsinghua University) Jochen Lohmiller (Beuth Hochschule für Technik Berlin), Zhiyuan (Terry) Liu (Southeast University), Prof. Zibin Li (Southeast University), Oscar Oviedo-Trespalacios (Delft University), B. Brian Park (University of Virginia)
Check out all the sessions
https://www.youtube.com/playlist?list=PLUITjzI6gBcyUBa8-Z-oo7WLFBpRk3nhm
Unity-Vissim Cosimulation environment development for Human-in-the-loop test
Networking based Multiagent driving simulator platform development
KAIST Munji campus testbed transplantation to the virtual world
Traffic volume imputation based on multi-source data collection system
→ The overall multi-source data aggregation process and imputation procedure
A deep spatio-temporal approach in maritime accident prediction
– Predicting the risk of maritime accidents is crucial for improving traffic surveillance and marine safety.
→ The proposed DSTOAP architecture and prediction results for each grid size
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