Modeling the Movement of Trucks in a Traffic Flow of High Density

When modeling the movement of vehicles to develop intelligent transport systems and solve the problems of optimizing traffic flows in most cases, the mean values of average speeds and parameters of acceleration and deceleration are used. Experimental studies have shown that the standardized data used to calibrate models are far from reality. In the case of high-density traffic (traffic difficulties, road accidents, "traffic jams"), the movement characteristics of different vehicles are quite different. Studies have shown that weather and road conditions have a particular effect on changes in vehicle traffic characteristics. This is especially true for the movement of medium- and heavy-duty trucks. Relative values of average speeds, acceleration and deceleration values with a distribution by type of transport, obtained as a result of practical research, allow to obtain greater reliability in modeling real traffic flows in intelligent transport ecosystems.