An Auction-Based Multi-Agent System for the Pickup and Delivery Problem with Autonomous Vehicles and Alternative Locations

Conference Paper (2022)
Author(s)

J. Los (TU Delft - Transport Engineering and Logistics)

F. Schulte (TU Delft - Transport Engineering and Logistics)

M.T.J. Spaan (TU Delft - Algorithmics)

R. R. Negenborn (TU Delft - Transport Engineering and Logistics)

Research Group
Transport Engineering and Logistics
Copyright
© 2022 J. Los, F. Schulte, M.T.J. Spaan, R.R. Negenborn
DOI related publication
https://doi.org/10.1007/978-3-031-05359-7_20
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 J. Los, F. Schulte, M.T.J. Spaan, R.R. Negenborn
Research Group
Transport Engineering and Logistics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
244-260
ISBN (print)
978-3-031-05358-0
ISBN (electronic)
978-3-031-05359-7
Reuse Rights

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Abstract

The trends of autonomous transportation and mobility on demand in line with large numbers of requests increasingly call for decentralized vehicle routing optimization. Multi-agent systems (MASs) allow to model fully autonomous decentralized decision making, but are rarely considered in current decision support approaches. We propose a multi-agent approach in which autonomous vehicles are modeled as independent decision makers that locally interact with auctioneers for transportation orders. The developed MAS finds solutions for a realistic routing problem in which multiple pickup and delivery alternatives are possible per order. Although information sharing is significantly restricted, the MAS results in better solutions than a centralized Adaptive Large Neighborhood Search with full information sharing on large problem instances where computation time is limited.

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