An Artificial Intelligence-based software module for the optimization of collaborative delivery in last-mile logistics

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dc.contributor.authorFajardo Calderín, Jenny
dc.contributor.authorMasegosa Arredondo, Antonio David
dc.contributor.authorElejoste Larrucea, Maria Pilar
dc.contributor.authorMoreno Emborujo, Asier
dc.contributor.authorCantero López, Xabier
dc.contributor.authorAngulo Martínez, Ignacio
dc.date.accessioned2026-10-23T14:42:48Z
dc.date.available2026-10-23T14:42:48Z
dc.date.issued2023
dc.date.updated2026-10-23T14:42:48Z
dc.descriptionPonencia presentada en la 9th International Physical Internet Conference (IPIC 2023), celebrada en Atenas entre el día 13 y el 15 de junio de 2023es
dc.description.abstractThis paper presents a route delivery planning and simulation module that forms acore part of the ICT Platform of the H2020 SENATOR project, which aims to enhance thesustainability of cities by developing a new urban logistic model. The module utilizes AI-basedoptimization algorithms to support the matching of supply and demand, identify the best fleetmix, and estimate the best delivery route based on real-time conditions. It also allows last-miledelivery planning using different transport modes, inter-modality, and driving restrictions, andsimultaneously optimizes different performance indicators. The paper provides a detaileddescription of the AI-based optimization method and the architecture and components of thesoftware module. Finally, the software module is validated in two scenarios (current operationsand implementation of a Low Emission Zone) using real shipment data from a postal operatorcompany in the living lab that the SENATOR project is implementing in Zaragoza.en
dc.identifier.citationFajardo Calderín, J., Masegosa Arredondo, A. D., Elejoste Larrucea, M. P., Moreno Emborujo, A., Cantero López, X., & Angulo Martínez, I. (2023). An Artificial Intelligence-based software module for the optimization of collaborative delivery in last-mile logistics. International Physical Internet Conference - IPIC 2023: Conference papers and posters Contributions Proceedings.
dc.identifier.urihttps://hdl.handle.net/20.500.14454/6832
dc.language.isoeng
dc.publisherInternational Physical Internet Conference
dc.subject.otherLast-mile logistics
dc.subject.otherVehicle routing problem
dc.subject.otherOptimization
dc.subject.otherDynamic planning
dc.subject.otherMultimodal
dc.subject.otherCollaborative delivery
dc.titleAn Artificial Intelligence-based software module for the optimization of collaborative delivery in last-mile logisticsen
dc.typeconference paper
dcterms.accessRightsopen access
oaire.citation.titleInternational Physical Internet Conference - IPIC 2023: Conference papers and posters Contributions Proceedings
oaire.versionVoR
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