Modeling traffic streams on a road network section

The paper considers the issues of modeling traffic flows. Statistical data on the number of vehicles accumulating in front of the stop line for red lights are collected and analyzed, thereby determining the length of the queue of the traffic stream. The degree of influence of the driver's reaction time on determining the average speed of the traffic stream on the road network of the city of Belgorod is considered. A fuzzy inference model based on the main parameters of the traffic stream is developed. A rule base is formulated that enables one to determine the average speed of traffic stream depending on the parameters of the traffic stream. The established dependence can be used when programming the controller or hardware implementation of the corresponding fuzzy control algorithm in the form of a decision table.