The paper deals with the issues of the transport network imitation modeling. Preliminary the authors analyzed the main modeling systems, which include Aimsun, MATSim, Anylogic, PTV VISUM and others. All these instrumental tools have the ability to form an arbitrary structure of the transport network. The research showed, however, for the small sections of the street road network (SRN), such as the crossroad, the Anylogic system is more efficient and makes it possible to parameterize the model, which can be used to model various structures of the crossroad. In this regard, the paper proposes a generalized model of the crossroad and, based on its modeling, gives recommendations for choosing the type of crossroads at different intensities of traffic flows.
The article deals with the design of decision support systems in the transport industry based on fuzzy situational networks, which are parameterized by a set of states and transitions between them. The proposed model is represented as a fuzzy hierarchical situational-event network. A mechanism for the dynamic formation of fuzzy situational networks has been developed. The obtained optimal estimates of control decisions that come out of the network nodes represent the basic mechanism for generating transition estimates. In the general case, the use of situational networks as a basic technology for creating decision support systems presupposes the existence of a knowledge base with a structure corresponding to the description of knowledge in the formed model of a fuzzy situational network.
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