Abstract
The increase in the number of vehicles every year covers an growing number of countries, as a result of which the vehicle fleet of large cities and megalopolises is constantly increasing, as well as the number of people involved in traffic. The growth in traffic leads to the increase in traffic intensity, which in the conditions of cities with historically developed buildings leads to a transport problem. It is particularly acute in the nodal points of the road network. The problems are caused by the increase in transport delays, queuing and congestion, which in turn causes the decrease in the speed of communication, unnecessary consumption of fuel and increased wear of components and assemblies of vehicles. Effective traffic management involves the use of both network and local adaptive control algorithms. City-wide automated system should be based on the principles of maximum management efficiency and reliability of the system.
Highlights
Traffic management in conditions of maximum saturation of roads with transport and pedestrian traffic requires more and more advanced traffic control methods
The use of the adaptive control algorithm provides a significant reduction in the average delay, which in this case rises with an increase in traffic of vehicles, it indicates that the developed algorithm is better at the vehicles movement organization than non-adaptive algorithm
The research resulted in the following conclusions: 1. The application of the developed algorithm for the management of traffic flows based on adaptive control methods helps to reduce the average delay at intersections in all considered diapasons of input parameters and increases the level of service (LOS), which allows speaking about the correctness of the choice of adaptive control methods as the basis of the algorithm
Summary
Traffic management in conditions of maximum saturation of roads with transport and pedestrian traffic requires more and more advanced traffic control methods. The total delay was used as a criterion for the quality of motion control by Miller [1] This criterion is closely correlated with the queue length, the average delay and traffic intensity. The maximum delay is considered as the biggest delay of one of the vehicles for the period under consideration It closely correlates with the value of the traffic flow entering the intersection and the queue length at the intersection approach. In connection with the use of the new criterion of the service levels boundaries at regulated intersections, we obtained the values (Table 1) Hereinafter, this indicator will be called the delay caused by the organization of the movement, and is denoted by ACD (Average Control Delay).
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