Vissim's traffic flow model is a stochastic, time step based, microscopic model that treats driver-vehicle units as basic entities.
As the model accounts for psychological aspects as well as for physiological restrictions of drivers' perception, it is called psycho-physical car-following model. It contains a psycho-physical car following model for longitudinal vehicle movement and a rule-based algorithm for lateral vehicle movement. The models deployed are based on Wiedemann's extensive research work.
Wiedemann's traffic flow model is based on the assumption that there are basically four different driving states for a driver (Traffic flow model and light signal control):
For each of the four driving states, acceleration is described as a result of current speed, speed difference, distance to the preceding vehicle as well as of individual driver and vehicle characteristics.
Drivers switch from one state to another as soon as they reach a certain threshold that can be described as a function of speed difference and distance. For instance, small differences in speed can only be perceived at short distances. Whereas large differences in speed already force drivers to react at large distances.
The perception of speed differences as well as the desired speed and safety distance kept vary across the driver population.
The driving state attribute in Vissim does not specify a driving state according to Wiedemann. The attribute gives a more detailed description of the current driving state of the vehicle in the simulation on its route through the Vissim network (Driving state of a vehicle).
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