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2016 | OriginalPaper | Buchkapitel

An Agent-Based Simulation Framework to Evaluate Urban Logistics Schemes

verfasst von : Wouter van Heeswijk, Martijn Mes, Marco Schutten

Erschienen in: Computational Logistics

Verlag: Springer International Publishing

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Abstract

Inefficient urban freight transport has a negative impact on both livability in cities and profit margins in the supply chain. Urban logistics schemes, consisting of governmental policies and company initiatives, attempt to address these problems. However, successful schemes are difficult to realize due to the divergent objectives of the agents involved in urban logistics. Traditional optimization techniques fall short when evaluating schemes, as they do not capture the required change in behavior of autonomous agents. To properly evaluate schemes, we develop an agent-based simulation framework that assesses the interaction between five types of autonomous agents. Compared to existing studies in this field, we contribute by (i) explicitly including company-driven initiatives, and (ii) adopting a supply chain-wide perspective. We illustrate the working of our framework by testing a number of schemes on a virtual network.

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Titel: An Agent-Based Simulation Framework to Evaluate Urban Logistics Schemes
verfasst von: Wouter van Heeswijk
Martijn Mes
Marco Schutten
Verlag: Springer International Publishing
Buch: Computational Logistics
Print ISBN: 978-3-319-44895-4

Electronic ISBN: 978-3-319-44896-1

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-44896-1_24

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