@article{fdi:010079359,
  title = {{L}e mod{\`e}le {SCAUP} : {S}imulation multi-agents {\`a} partir de donn{\'e}es de {CA}pteurs {U}rbains pour la {P}ollution atmosph{\'e}rique automobile = {T}he {SCAUP} model : multi-agent simulation from {U}rban sensors for traffic air pollution},
  author = {{E}mery, {J}. and {M}arilleau, {N}icolas and {M}artiny, {N}. and {T}hevenin, {T}.},
  editor = {},
  language = {{FRE}},
  abstract = {{T}his paper presents the {SCAUP} model ({M}ulti-{A}gents {S}imulation from {U}rban sensors data for traffic {A}ir {P}ollution). {SCAUP} aims at simulating a road traffic based on a data-driven approach in order to be close to observation on a wide set of theoretical road network. {T}he data used in {SCAUP} are based on automatic traffic counting measurements done by electromagnetic loop sensors. {T}he purpose of the proposed agent-based model is to simulate road traffic at the scale of a theoretical and controlled road network. {I}n this paper, we present an overview of the sets of parameters, the overall simulation process and its analysis tests, in order to evaluate the {SCAUP} capacities to simulate a traffic flow pattern with two main input data: road network and traffic counting data.},
  keywords = {multi-agent simulation ; traffic ; urban transportation ; data ; intra-urban ; modelling},
  booktitle = {},
  journal = {{C}ybergeo},
  numero = {},
  pages = {art. 944 [23 p.]},
  ISSN = {1278-3366},
  year = {2020},
  DOI = {10.4000/cybergeo.34767},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079359},
}