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Selective Survey: Most Efficient Models and Solvers for Integrative Multimodal Transport
Informatica ( IF 3.3 ) Pub Date : 2021-03-31 , DOI: 10.15388/21-infor449
Oliviu Matei , Rudolf Erdei , Camelia-M. Pintea

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. PDF  XML

中文翻译:

选择性调查:集成多式联运的最有效模型和求解器

在智能运输系统(ITS)家族中,多式联运系统(MMTS)已将自己作为可行的综合运输流程作为当今时代的主流运输手段。在运输的帮助下,全球经济取得了进步。在过去的十年中,货物的数量和所覆盖的距离增加了一倍,因此,对优化运输,快速但成本低,节省资源但又安全,排放低或零的要求很高。因此,重要的是要概述该领域的现有研究,以了解已经完成的工作以及接下来要研究的工作。主要目的是探索对多式联运研究领域中现有研究,方法和信息的有益选择,确定行业需求和研究差距,并为将来的研究提供背景。选择性调查涵盖以下方面的多式联运设计和优化:成本,时间和网络拓扑。多式联运的理论方面,背景和资源也涵盖了各个方面。该调查的选择包括智能运输系统(ITS)的当前最佳方法和求解器。为了优化全球多式联运系统,应该进一步解决理论与实际应用之间的差距。PDF XML 该调查的选择包括智能运输系统(ITS)的当前最佳方法和求解器。为了优化全球多式联运系统,应该进一步解决理论与实际应用之间的差距。PDF XML 该调查的选择包括智能运输系统(ITS)的当前最佳方法和求解器。为了优化全球多式联运系统,应该进一步解决理论与实际应用之间的差距。PDF XML
更新日期:2021-03-31
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