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Planning of Urban Freight Delivery During Peak and Off-Peak Traffic Periods

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Abstract

Paper present influence of time windows during the day on efficiency of urban freight delivery. Field research was obtained to gathering freight logistics data according to which models were build. The regression models obtained in the paper described the speed of delivery in the network during peak and off-peak periods and allow one to evaluate parameters of the freight tours process in the current scenario. Obtaining the choice of time periods has an impact on delivery tours: load capacity of a vehicle, quantity of delivery bays, etc. The results are useful for logistics operators, planners, and authorities.

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Authors and Affiliations

  1. Beketov National University of Urban Economy in Kharkiv, 17 Marshala Bazhanova Street, O.M, Kharkiv, 61002, Ukraine

    Olesia Hriekova, Andrii Galkin, Oleksii Prasolenko & Nadiia Sokolova

  2. Slovak Technical University in Bratislava, Bratislava, 81107, Slovakia

    Olesia Hriekova & Tibor Schlosser

  3. University of Rome Tor Vergata, 00133, Rome, Italy

    Olesia Hriekova

  4. University of Antwerpen, 2000, Antwerp, Belgium

    Andrii Galkin

Authors
  1. Olesia Hriekova
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  2. Andrii Galkin
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  3. Tibor Schlosser
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  4. Oleksii Prasolenko
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  5. Nadiia Sokolova
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Correspondence to Olesia Hriekova .

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Editors and Affiliations

  1. University of Minho, Guimarães, Portugal

    Teresa Pereira

  2. Hofstra University, Hempstead, NY, USA

    John Impagliazzo

  3. University of Minho, Guimarães, Portugal

    Henrique Santos

  4. National University of Defense Technology, Changsha, China

    Juan Chen

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Hriekova, O., Galkin, A., Schlosser, T., Prasolenko, O., Sokolova, N. (2024). Planning of Urban Freight Delivery During Peak and Off-Peak Traffic Periods. In: Pereira, T., Impagliazzo, J., Santos, H., Chen, J. (eds) Internet of Everything. IOECON 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 551. Springer, Cham. https://doi.org/10.1007/978-3-031-51572-9_10

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  • DOI: https://doi.org/10.1007/978-3-031-51572-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51571-2

  • Online ISBN: 978-3-031-51572-9

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