Optimization of urban passenger flows congestion in the context of intelligent management of transport systems: methodology and mathematical model

The possibilities and the conditions for transport system management intellectualization have been analyzed and determined. The purpose of the study is to develop a conceptual model of an intelligent urban passenger flows management system, a mathematical model, and a methodology for optimizing urban passenger flows congestion in the context of intelligent management of transport systems. The relevance of the study is due to the need for scientific and methodological support to solve the applied problem of analyzing and optimizing urban passenger flows congestion when redistributing vehicles from the least busy route to the route with the highest load. It allows for the evidence-based implementation of a set of measures related to transport system management intellectualization. The objectives of the study are to assess passenger flows congestion (the load of transport systems) on various routes, to create a model of vehicles re-routing from a low-load transport system to a high-load one in order to optimize passenger flows congestion, and to evaluate the effects of optimizing urban passenger flows congestion. The research methodology is based on the provisions of the queuing theory and economic-statistical and expert-analytical methods. Due to modeling queuing systems, it has been proved that urban passenger flows congestion is optimal in a range of values close to equality of the total intensity of incoming and outgoing passenger flow.

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