Development of a Traffic Flow Model with Overacceleration and Speed Adaptation in Relation to Driver Behavior Strategies

This paper presents a new traffic flow model based on cellular automata theory, taking into account the effects of overacceleration and speed adaptation inherent in real traffic flows. The focus is on the choice of driving strategies, reflected in the safe distance and acceleration values during acceleration and braking. The behavior of individual drivers may differ when changing lanes, moving forward along a lane, or entering the main road from a secondary one. These features are taken into account in the developing of the model. To verify the model, test calculations are carried out and the simulation results are presented.