Clustering Methods and Time Parameterization in the Management of Port Cargo Flows

Abstract

Methodological approaches to assessing the prospects for the development of port transport and technological systems in terms of interaction management in the “railway station - port” system are investigated. The issues of updating clustering methods and time parameterization in the management of cargo flows of port transport systems at a new stage of development with the prospect of their application in intelligent control systems for the selection of rational schemes for the transportation process operation are considered. Three types of clusters are proposed that function within the boundaries of the regional port transport and technological system, and include homogeneous objects or objects performing a single transport function: a loading cluster, a single port cluster and a port cluster. To form the analytical model of cargo flow management based on the principles of time parameterization, criteria for the rationality of transport processes have been determined for the minimum demurrage time of the rolling stock in the transport system, the minimum number of transport processes when performing the maximum amount of work, and the maximum speed of transport processes with the values of rational loading of infrastructure facilities of the transport system.