The aims of the sub-project are analysis and corresponding descriptive modeling of behavior of road users and of their mutual interactions. This modeling will be coordinated with the applications developed in other UR:BAN projects. The focus here is on the behavior of informed and assisted drivers, taking into account in detail their interactions with other vehicles (with / without UR:BAN technology) as well as with cyclists and pedestrians.Examples of microscopic traffic simulation

New assistance functions could affect the interactions between vehicles. An important objective is therefore to discover what modifications and refinements of current microscopic traffic flow models are required to properly describe the effects of these functions on interactions. The focus is on the interaction between two or more cars in the use cases of lane changing behavior and passing behavior when approaching an intersection (as an isolated crossing or along an arterial), as well as when crossing or turning at an intersection. This behavior modeling has a direct connection to the corresponding UR:BAN applications in the subproject “Smart Intersection”. The car-truck interaction is particularly important, because it provides a direct point of contact with the task of dynamic platoon management for trucks in the sub-project “Urban Roads”.

In urban environments, the impact of pedestrian behavior on traffic flow is far greater than elsewhere. The model quality required for functional analysis of the UR:BAN technologies has not been available up to now. Thus, the project will first investigate pedestrian behavior modeling itself and then refine the models where required for simulation of vehicle-pedestrian interactions. The main emphasis is on analysis of  pedestrian crossings subject to traffic signal control, as well as the pedestrian “midblock dash”, that is, an unregulated crossing between urban intersections.

In addition to pedestrians, cyclists also play an important role in traffic flow within urban areas. The focus is on improved models of cyclist dynamics, interactions with motorized vehicle traffic when a bike lane is present, and interactions when cyclists share the road with motor vehicles.