Paper Title: A deep learning traffic flow prediction model utilizing the temporal and spatial characteristics of multi-source traffic detector data Funder: MESH (Mobility Ecology Summit Hour) Funding: 2 million won Award Winner: Donghyun Kwon
Paper Title: A deep learning traffic flow prediction model utilizing the temporal and spatial characteristics of multi-source traffic detector data Funder: MESH (Mobility Ecology Summit Hour) Funding: 2 million won Award Winner: Donghyun Kwon
Program: 2024 Outstanding Young Scientist Grant Program Title: Empowering Mobility for a Smart Aging Society: Development and Testing of Large Language Model-Based Driver Assistance Agent Funder: NRF Funding: 400 million won Project year: 2024-2027 Project manager: Dr. Chen Tiantian Abstract As South Korea becomes the world’s most aging country by 2045, addressing the surge in […]
We welcome Prof. Dr. Ing. Dietmar Göhlich and Prof. Sangyoung Park from TU Berlin. This is a biannual event at KAIST, where world-class researchers exchange research ideas and directions. 4 wonderful presentations were made as below; – Intelligent Mobility Solutions: Overview of current projects and research results at TU Berlin; Speaker: Prof. Dr.-Ing. Dietmar Göhlich […]
Hyunchul has been awarded the Graduate Student Research Encouragement Fund by the National Research Foundation (NRF). He will carry out the research titled “Developing an Aggressive Pedestrian Model for Autonomous Vehicle Safety Testing” from July of this year until June of the next year, with a total research budget of 12 million won. The Graduate […]