Our research focuses on Transportation Research with Data Science, which involves investigating transportation systems and information and communication technology using theoretical and data-driven approaches to achieve a better society. We are particularly interested in emerging technologies such as automated driving, ridesharing, and connected vehicles. Our research topics include developing data-driven estimation methods for the state of transportation systems (such as traffic flow in a road network), building models to understand the behavior of these systems, and implementing control measures to optimize them for the society.
Our educational policy aims to equip students with the necessary skills to understand (or create) mathematical models that abstract real-world phenomena, solve or compute such models, perform statistical analysis of data, develop computer programs, and write logically. We place emphasis on developing a solid understanding of principles and their application to the expression and resolution of real problems.
The principal investigator of this lab is Associate Professor Toru Seo. We are at Department of Civil and Environmental Engineering, School of Environment and Society, Tokyo Institute of Technology (also known as Tokyo Tech). We are also affiliated with the Transport Studies Unit of Tokyo Tech.
If you are interested in applying to our lab for the graduate school admission exam etc., please consult with Prof. Seo beforehand to discuss the application process.
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