Under the guidance of Prof. Sano, who specializes in traffic management for heavy snowfall regions, and Prof. Kato, an expert in traffic network analysis, our laboratory conducts comprehensive research in transportation engineering. Our key areas include traffic forecasting, big data analysis, traffic simulation, and mathematical optimization. Additionally, we engage with residents and local governments through surveys and interviews.
Our primary goal is to address real-world transportation challenges and contribute to local communities through data analysis, modeling, and simulation. This approach enables us to deeply understand regional needs and design transportation systems that are safer, more efficient, and more sustainable.

Analysis results using big data