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Probabilistic time-dependent vehicle routing problem

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Abstract

The probabilistic time-dependent vehicle routing problem is presented in this paper. It is a novel variant of the vehicle routing problem. The variant is a problem of finding optimal routes for a fleet of vehicles visiting customers in order to proceed delivery or pick-up. All customers must be visited in designated times with given probabilities and services must begin within the given time windows. Each vehicle has a given capacity, which must not be exceeded. The travel time between each two locations is dependent on a vehicle departure time. The paper also contains examples and solution results of testing data sets using the adaptive large neighbourhood search algorithm.

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Notes

  1. https://data.gov.uk/dataset/dft-eng-srn-routes-journey-times.

  2. http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.

  3. http://dataanalysis.vsb.cz/Collections/Ptdvrp/ExtendedSolomon/.

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Acknowledgments

This work was supported by The Ministry of Education, Youth and Sports from the National Programme of Sustainability (NPU II) project IT4Innovations excellence in science - LQ1602 and by the internal grant agency of VŠB Technical University of Ostrava, Czech Republic, under the project no. SP2016/179 ’HPC Usage for Transport Optimisation based on Dynamic Routing II’.

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Correspondence to Tomáš Režnar.

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Režnar, T., Martinovič, J., Slaninová, K. et al. Probabilistic time-dependent vehicle routing problem. Cent Eur J Oper Res 25, 545–560 (2017). https://doi.org/10.1007/s10100-016-0459-2

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