Increasing the efficiency of transportation process management in large agglomerations through priority servicing of incoming application flow

The article considers methods for optimizing traffic flow management in large agglomerations by using clustering, routing and principles of queuing theory. The main study is devoted to the redistribution of resources by introducing a priority system in request processing. The influence of urgency, density and throughput of cargo flow on the system operation is analyzed and optimization algorithms are proposed to reduce waiting time, reduce costs and improve the efficiency of transport processes. The research methodology includes the use of a multi-channel queuing model to assess the impact of priority distribution of requests on the system throughput. Mathematical modeling, linear programming methods and NPV calculation for assessing economic efficiency are used to analyze the redistribution of resources. The results of the study show that the priority service system reduces the waiting time for urgent requests, but under high load it can increase the waiting time for less priority clients. The developed resource redistribution algorithm adapts the system to changes in flow intensity. The use of the proposed methods made it possible to reduce the average waiting time for priority requests by 1.5-2 times and reduce operating costs. The practical significance of the study lies in increasing the efficiency of transport processes due to the dynamic redistribution of resources. The implementation of the proposed methods can be used in logistics, courier services and transport companies to optimize the processing of requests, improve customer service and reduce costs.