Intellectualization of Transport and Logistics Infrastructure Agents Network Interaction through Adaptive Information and Communication Technologies Introduction

摘要

The aetiology of the Russian Federation transport and logistics infrastructure development heterogeneity is caused by the following factors: many of elements of the system, territorial distribution, nonlocal effects exist. The article describes a methodological approach to assessing the existing potential of intellectualization of transport and logistics infrastructure agents network interaction through adaptive information and communication technologies introduced. The research is based on the study of fundamental and applied research of foreign and domestic authors in the field of implementation of information technologies in transport and logistics processes. The methods of scientific knowledge were applied: comparative, logical, structural-dynamic, statistical-mathematical analysis and synthesis, cartographical method. The characteristic features of the transport and logistics infrastructure development models in the countries of the logistics efficiency rating leaders are identified; the analysis of software in the field of transport and logistics is carried out. The model of transport and logistics infrastructure agents network interaction assessment is offered, the approbation of the model is carried out on the example of the Russian Federation regions. The model has a set of contextual factors that characterize the level of the Russian Federation regions transport and logistics infrastructure efficiency. The most promising areas for bringing about adaptive information and communication technologies are identified. The software products used by Russian operators do not allow them to scale. This complicates the integration of transport systems into a single customer-oriented environment. A ranking of the Russian Federation regions by assessing of transport and logistics infrastructure agents network interaction eventuality will find problems and set promising areas for future research on this topic.