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Support for Green Logistics Using the GTAlg Tool

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Intelligent Transport Systems and Travel Behaviour

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 505))

Abstract

This article addresses the available options of using the GTAlg (Green Travelling Algorithm) tool, being the basic feature of Green Travelling Planner (GT Planner). GTAlg may be expanded to support the implementation of the green logistics concept. GTAlg is an algorithm for establishing a route in a transport network based on the A* algorithm. Each route defined for the chosen means of transport and current temporary travelling conditions is characterised by specific emission of harmful substances. GTAlg, as one of few tools, enables setting the transfer route with a pre-defined estimated emission of harmful substances. Taking advantage of this specific feature of the GTAlg tool, alternative methods of defining an optimum transfer route, with the negative environmental impact being minimised, have been discussed in this article. In describing the manner in which GTP was used for the above purpose, different parameters of the transport network have been taken into consideration.

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Acknowledgments

The present research has been financed from the means of the National Centre for Research and Development as a part of the international project within the scope of ERA-NET Transport III Future Travelling Programme “A platform to analyze and foster the use of Green Travelling options (GREEN_TRAVELLING)”.

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Authors and Affiliations

  1. Faculty of Transport, Silesian University of Technology, Katowice, Poland

    Ireneusz Celiński

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  1. Ireneusz Celiński
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Correspondence to Ireneusz Celiński .

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Editors and Affiliations

  1. Faculty of Transport, Silesian University of Technology Faculty of Transport, Katowice, Poland

    Grzegorz Sierpiński

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Celiński, I. (2017). Support for Green Logistics Using the GTAlg Tool. In: Sierpiński, G. (eds) Intelligent Transport Systems and Travel Behaviour. Advances in Intelligent Systems and Computing, vol 505. Springer, Cham. https://doi.org/10.1007/978-3-319-43991-4_11

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  • DOI: https://doi.org/10.1007/978-3-319-43991-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43990-7

  • Online ISBN: 978-3-319-43991-4

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