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Computing Indicators for Differences and Similarities Among Sets of Vehicle Routes

In: Operations Research Proceedings 2015

Author

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  • Jörn Schönberger

    (Technische Universtät Dresden)

Abstract

The quantification of the differences of two sets of vehicle routes is addressed. We present procedures to compute indicators quantifying differences in the tour composition among both sets. Furthermore, we propose two different ideas to compare sequencing decisions related to the routing sub-problem in vehicle routing. Finally, we combine clustering and sequencing decision comparison procedures in order to quantify differences of the vehicle route sets.

Suggested Citation

  • Jörn Schönberger, 2017. "Computing Indicators for Differences and Similarities Among Sets of Vehicle Routes," Operations Research Proceedings, in: Karl Franz Dörner & Ivana Ljubic & Georg Pflug & Gernot Tragler (ed.), Operations Research Proceedings 2015, pages 195-200, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-42902-1_26
    DOI: 10.1007/978-3-319-42902-1_26
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    Cited by:

    1. Schönberger, Jörn, 2017. "Implicit time windows and multi-commodity mixed-fleet vehicle routing," Discussion Papers 1/2017, Technische Universität Dresden, "Friedrich List" Faculty of Transport and Traffic Sciences, Institute of Transport and Economics.

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