Some propositions to find optimal conditions to simulate a flexible transport using an Agent-Based Model
type: Dataset
description: This paper presents a method to evaluate the robustness of a cooperating flexible transport system based on agents (taxis and clients) and simulated using NetLogo. Analysing a set of 124 scenarios of simulations on a range of synthetic populations (clients) and on various space networks organizations, we assess the sensitivity of a transportation model we proposed. Our main objective is to detect robustness thresholds in flow configurations and system efficiency. The research leads to two main results: (i) there exists an optimal balance between the frequency of system iterations (number of clients generations) and the total number of clients involved in simulations, (ii) to some extend, the network topological structure plays a non negligible role in transport efficiency.
landing page: https://shs.hal.science/halshs-00858280
keyword: agent-based-model
keyword: analyse-de-sensibilite
keyword: evaluation-de-modele
keyword: flexible-transport
keyword: infoeu-reposemanticspreprint
keyword: infoinfo-cccomputer-science-cscomputational-complexity-cscc
keyword: model-evaluation
keyword: preprints-working-papers-
keyword: robustesse
keyword: robustness
keyword: sensitivity-analysis
keyword: shsgeohumanities-and-social-sciencesgeography
keyword: systeme-multi-agent
keyword: transport-flexible
issued: 2026-05-09T21:04:27.696825
modified: 2026-05-09T21:04:27.696830
language: en
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Some propositions to find optimal conditions to simulate a flexible transport using an Agent-Based Model
type: Distribution
format: HTML
access URL: https://shs.hal.science/halshs-00858280
issued: 2026-05-09T21:04:27.698588
modified: 2026-05-09T21:04:27.681470