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Procedia Computer Science
Article . 2019 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Procedia Computer Science
Article
License: CC BY NC ND
Data sources: UnpayWall
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Modelling receiver logistics behaviour

Authors: Wilna L. Bean; Johan W. Joubert;

Modelling receiver logistics behaviour

Abstract

Abstract There is a need for collaborative urban freight planning and appropriate decision and planning support tools are lacking, resulting in inadequate understanding of how urban freight agents should collaborate and what benefits can be gained from their coalitions. This paper is therefore concerned with including receiver freight agents as autonomous agents into MATSim as a first step towards providing an appropriate decision support system to enable decision makers to determine how a balance between receiver restrictions and urban freight delivery cost can be achieved. The simulation with integrated receiver behaviour is applied to a small case as proof of concept. Results indicate that the newly included receiver agents changed their reordering behaviour autonomously whilst trying to reduce their own cost, confirming that the extended MATSim platform with integrated autonomous carrier and receiver agents demonstrates behavioural sensitivity in the tested scenarios.

Country
South Africa
Related Organizations
Keywords

Agent-based simulation, Freight, MATSim, 006, Receiver reordering

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
gold