Methodological approaches to formation of transport and information space in the development of clusters of integrated transport services

V. Zubkov
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Abstract

In this paper, methodological approaches to formation of transport and information space in the development of clusters of integrated transport services based on a multi-agent construction method are considered. The scheme of inter-cluster subject mutual integration based on implementation of unified technological (transport and production) processes is presented. The model of the system of subject mutual integration in the single transport and information space of the cluster of integrated transport services has been developed. Methodology for constructing a matrix of indicators in the system of determining and recognizing optimal solutions based on the ratio of three-dimensional cubes has been formed. The information architecture of the environment of subject mutual integration is proposed, based on the multi-agent method of construction and displaying specific properties, culture of information behavior, memory and goals, uniqueness of definition and recognition of management decisions. A three-level model of the algorithm of subject mutual integration has been developed, which establishes the procedure of actions aimed at achieving continuous integration and updating of a single knowledge database, along with this, the knowledge gained is used as an information resource opportunity in the development of production entities and regions. Methodological approaches to the construction of the transport and information space provide the basis for virtual subjective mutual integration, transformation of automated control systems into information and intelligent systems.
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本文考虑了基于多智能体构建方法的综合运输服务集群发展中运输和信息空间形成的方法学方法。提出了基于统一技术(运输和生产)流程实现的集群间主体相互集成方案。建立了综合运输服务集群中单一运输与信息空间主体相互集成的系统模型。建立了基于三维立方体比例的最优解确定与识别系统中指标矩阵的构造方法。提出了主体相互融合环境的信息架构,该信息架构基于多智能体构建和显示属性、信息行为、记忆和目标的文化、定义的唯一性和管理决策的可识别性。建立了主体相互集成算法的三层模型,建立了以实现单一知识库的持续集成和更新为目标的行动程序,并将所获得的知识作为生产实体和地区发展的信息资源机会。构建交通与信息空间的方法学方法为虚拟主观相互集成、自动化控制系统向信息和智能系统的转变提供了基础。
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