MODELING TRANSPORT INTERSECTIONS OF CITY STREETS WITH ADAPTIVE TRAFFIC CONTROL

Abstract

The introduction of automated traffic control systems on the road network will improve the efficiency of its work. This will lead to an increase in throughput and improve the uniformity of traffic parameters. The number of stops, braking, wear of the undercarriage of cars, consumption of engine oil, fuel will decrease, and the environmental burden on the environment will be reduced. Modeling transport intersections is one of the fundamental methods for studying the functioning of the road network. This method is used in all types of work related to the improvement, modi­fication, reconstruction, and expansion of the road network. Modern techniques for modeling traffic intersections allow recreating the movement of all road users through them, and predicting the results for many years to come, considering changes in both external factors (number of users for crossing) and internal (crossing configuration). To evaluate the efficiency of the intersection, the initial data are taken from field observations. These include a random value of the traffic flow; pedestrian flows; traffic light cycle length; proximity to other intersections; the length of the transport queue when a permissive traffic light signal is given. The analysis of the obtained data makes it possible to assess the current situation on the road network and does not allow to make a forecast for the future when the parameters of the transport intersection change. This is where intersection modeling comes in handy. The intersection model allows predicting the operation of a traffic intersection, considering changes in both the entire road network and particular changes in the traffic intersection itself. The article proposes a transport intersection model based on experimental data obtained during a full-scale experiment, as well as taking into account the uneven throughput. In relation to a traffic intersection, the capacity unevenness index affects the overall capacity of the intersection, traffic safety through the intersection, the magnitude of traffic delays, the magnitude of traffic losses, and the number of maneuvers in the stream. In addition, the introduction of the non-uniformity parameter will make it possible to predict the magnitude of transport delays and queues more accurately. The proposed model can be used to create a set of measures to improve the road network of large and major cities, a decision to rebuild a transport intersection, or build an interchange in its place.