Route Guidance and Signal Control Based on the Back-Pressure Algorithm

Bad traffic conditions can be improved by regulating traffic demand and network capacity. Dynamic Traffic Management (DTM) systems allocate temporal and spatial utilization of infrastructures and vehicle fleets by means of dynamic signals. By timely response to changing traffic conditions DTM goals, in terms of effective, safe and reliable use...

Dynamic OD demand estimation and prediction for dynamic traffic management

Dynamic origin-destination (OD) demand is important input to many simulation models applied within dynamic traffic management systems (DTMS) for predicting traffic states on the network. The inability to provide high-quality dynamic OD demand estimates makes prediction with simulation models simply impossible, irrespective of how well these...

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...