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Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport

机译：选择性调查：用于综合多式联运的最有效的模型和求解器

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摘要

In the family of Intelligent Transportation Systems (ITS), Multimodal Transport Systems (MMTS) have placed themselves as a mainstream transportation mean of our time as a feasible integrative transportation process. The Global Economy progressed with the help of transportation. The volume of goods and distances covered have doubled in the last ten years, so there is a high demand of an optimized transportation, fast but with low costs, saving resources but also safe, with low or zero emissions. Thus, it is important to have an overview of existing research in this field, to know what has already been done and what is to be studied next. The main objective is to explore a beneficent selection of the existing research, methods and information in the field of multimodal transportation research, to identify industry needs and research gaps and provide context for future research. The selective survey covers multimodal transport design and optimization in terms of: cost, time, and network topology. The multimodal transport theoretical aspects, context and resources are also covering various aspects. The survey's selection includes currently existing best methods and solvers for Intelligent Transportation Systems (ITS). The gap between theory and real-world applications should be further solved in order to optimize the global multimodal transportation system.
机译：在智能交通系统（其）系列中，多式联运系统（MMTS）已将自己作为我们作为可行的综合运输过程的主流运输意义。全球经济在交通的帮助下进展。在过去的十年中，覆盖的商品和距离的数量翻了一番，因此对优化的运输需求很高，速度很快，成本低，节省资源，零排放量低或零排放。因此，重要的是要概述本领域的现有研究，了解已经完成的是什么以及接下来将研究的内容。主要目标是探讨有益的选择多式联运研究领域现有的研究，方法和信息，以确定行业需求和研究差距，并为未来的研究提供背景。选择性调查涵盖了多式联运设计和优化：成本，时间和网络拓扑。多式联运理论方面，背景和资源也涵盖各个方面。调查的选择包括目前智能交通系统的最佳方法和求解器（其）。应进一步解决理论与现实世界应用之间的差距，以优化全球多式联运系统。

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