A Generic Modelling Framework for Last-Mile Delivery Systems

Önder Gürcan, Timo Szczepanska, Vanja Falck, Patrycja Antosz, Merve Seher Cebeci +3 more
2/24/2025
cs.MAcs.SE

No confident code implementation found for this paper.

Abstract

Large-scale social digital twinning projects are complex with multiple objectives. For example, a social digital twinning platform for innovative last-mile delivery solutions may aim to assess consumer delivery method choices within their social environment. However, no single tool can achieve all objectives. Different simulators exist for consumer behavior and freight transport. Therefore, we propose a high-level architecture and present a blueprint for a generic modelling framework. This includes defining modules, input/output data, and interconnections, while addressing data suitability and compatibility risks. We demonstrate the framework's effectiveness with two real-world case studies.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Y Social: an LLM-powered Social Media Digital Twin

79% match2024

Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry

78% match2023

Internet of Federated Digital Twins (IoFDT): Connecting Twins Beyond Borders for Society 5.0

77% match2023

CERN for AI: A Theoretical Framework for Autonomous Simulation-Based Artificial Intelligence Testing and Alignment

77% match2023

LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins

76% match1 repo312024

LLM-Twin: Mini-Giant Model-driven Beyond 5G Digital Twin Networking Framework with Semantic Secure Communication and Computation

76% match1 repo42023

Cite this paper

@article{grcan2025generic,
  title  = {A Generic Modelling Framework for Last-Mile Delivery Systems},
  author = {Önder Gürcan and Timo Szczepanska and Vanja Falck and Patrycja Antosz and Merve Seher Cebeci and Michiel de Bok and Rodrigo Tapia and Lóránt Tavasszy},
  year   = {2025},
  eprint = {2502.17633},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2502.17633v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2502.17633.svg)](https://codeofpaper.com/paper/2502.17633)

Discussion