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Problems of analyst competency formation for modern transport systems

机译:现代交通系统分析师能力形成问题

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Intelligent information and analytical basis of a modern transport system is a prerequisite for efficient functioning of the digital economy. Modern transport systems are based on new intelligent technologies and new organizational principles, which is why the functions and competences of specialists in transportation are changing very rapidly. This paper substantiates the need and reveals the content of new competencies of specialists for modern transport systems, which should be ready to take into account many different factors, process large amounts of information and solve multi-criteria tasks in transport companies for all management functions. Creation of digital analytical competency for transportation systems represents a new direction of the educational and training programs that must include courses in modern assessment and forecasting methods, big data operation, machine learning, neuron networks and other approaches in artificial intelligence area. This article describes a new approach to the teaching of transportation system analysts that is able to solve various types of tasks to implement Industry 4.0 elements in transportation as examples.
机译:现代交通系统的智能信息和分析基础是数字经济有效运作的先决条件。现代化的运输系统是基于新的智能技术和新的组织原则,这就是为什么运输专家的功能和能力正在变化很快。本文证实了现代交通系统专家新能力的内容,应该准备考虑到许多不同的因素,处理大量信息,解决运输公司的多标准任务,以满足所有管理功能。运输系统的数字分析能力的创造代表了教育和培训计划的新方向,必须包括现代评估和预测方法的课程,大数据操作,机器学习,神经元网络和人工智能区域的其他方法。本文介绍了一种新的运输系统分析师教学方法,能够解决各种类型的任务,以实现运输中的行业4.0元素作为示例。

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