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 […]