Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter

Traffic state estimations and predictions are essential parts for dynamic traffic management applications. This thesis consists of two parts: firstly the requirements for application of a traffic prediction tool in a road traffic management center are analysed, and a design is made for a tool to function in non-recurrent conditions and cope with...

Lagrangian Multi-Class Traffic State Estimation

Road traffic is important to everybody in the world. People travel and commute everyday. For those who travel by cars (or other types of road vehicles), traffic congestion is a daily experience. One essential goal of traffic researchers is to reduce traffic congestion and to improve the whole traffic system operation and the environment. To...