Urban Transport Systems Laboratory

Traffic congestion has a significant impact on our daily lives as it directly affects our society's productivity and health. The introduction of Intelligent Transportation Systems (ITS) technologies and new sensing hardware promise significant progress in reducing the congestion level in cities. A key component of our research is to build on observation-based macroscopic models that alleviate the fragility problems of traditional forecasting models. Our approach is that monitoring replaces prediction, and the system is repeatedly modified based on observations. Monitoring technology allows us to observe and quantify more and more things in real time and this expands the scope of policies and methods that can be tried.

Our research activities focus on three main complementary directions: modeling, monitoring and control of urban transport systems. You are encouraged to click in any of the following three components of our research for more information and some enjoyable animations.