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.
@article{arxiv.2502.17633,
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},
journal= {arXiv preprint arXiv:2502.17633},
year = {2025}
}
Comments
10 pages, 5 figures, The 19th Social Simulation Conference (SSC 2024)