Change and future of engineering education in the field of transport, analyzed by the state of research in freight rail automation

O. Michler, J. Engelbrecht, Paul Schwarzbach, Albrecht Michler
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Abstract

Transportation systems are confronted with a variety of social, economic, ecological and technological challenges. Rail-bound freight transport provides low-emission transport capacities. However, a majority of rail-bound freight transport still relies on inefficient manual processing and lacks digitization, especially when it comes to shunting and train composition. In order to solve the engineering task of smart shunting automation, inter-disciplinary knowledge is required. This includes electrical and control engineering, radio communication, localization, smart infrastructure design as well as embedded system programming. The arising heterogeneity needs to also be reflected in modern engineering education. Therefore, this contribution aims at providing a structured overview of all involved and related education disciplines in designing and implementing Intelligent Transportation Systems and how they need to be considered in research oriented education. Furthermore, the shifted requirements for engineering students in the light of more complex and interdependent systems are outlined. Based on this, several tools and teaching approaches to compensate the shifted requirements are presented. Finally, the approach is illustrated by a current teaching example in the engineering education in the field of smart shunting,
结合货运铁路自动化的研究现状,分析了运输领域工程教育的变化与未来
交通运输系统面临着各种各样的社会、经济、生态和技术挑战。铁路货运提供低排放的运输能力。然而,大多数铁路货运仍然依赖于效率低下的人工处理,缺乏数字化,特别是在调车和列车组成方面。为了解决智能调车自动化的工程任务,需要跨学科的知识。这包括电气和控制工程,无线电通信,本地化,智能基础设施设计以及嵌入式系统编程。出现的异质性也需要反映在现代工程教育中。因此,这篇文章的目的是对设计和实施智能交通系统的所有相关教育学科以及如何在研究型教育中考虑它们提供一个结构化的概述。此外,根据更复杂和相互依赖的系统,概述了工程学生的需求变化。在此基础上,提出了几种弥补需求变化的工具和教学方法。最后,以当前智能分流工程教育中的一个教学实例对该方法进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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