@article{fdi:010087495,
  title = {{D}ealing with mixed and non-normative traffic. {A}n agent-based simulation with the {GAMA} platform},
  author = {{S}aval, {A}. and {M}inh, {D}. {P}. and {C}hapuis, {K}evin and {T}ranouez, {P}. and {C}aron, {C}. and {D}aude, {E}. and {T}aillandier, {P}atrick},
  editor = {},
  language = {{ENG}},
  abstract = {{C}ontinuous improvement in computing power allowed for an increase of the scales micro-traffic models can be used at. {A}mong them, agent-based frameworks are now appropriate for studying ordinary traffic conditions at city-scale, but remain difficult to adapt, especially for non-computer scientists, to more specific application contexts (e.g., car accidents, evacuation following a natural disaster), that require integrating particular behaviors for the agents. {I}n this paper, we present a built-in model integrated into the {GAMA} open-source modeling and simulation platform, allowing the modeler to easily define traffic simulations with a detailed representation of the driver's operational behaviors. {I}n particular, it allows modelling road infrastructures and traffic signals, change of lanes by driver agents and less normative traffic mixing car and motorbike as in some {S}outh {E}ast {A}sian countries. {M}oreover, the model allows to carry out city-level simulations with tens of thousands of driver agents. {A}n experiment carried out shows that the model can accurately reproduce the traffic in {H}anoi, {V}ietnam.},
  keywords = {{VIET} {NAM} ; {HANOI}},
  booktitle = {},
  journal = {{PL}o{S} {O}ne},
  volume = {18},
  numero = {3},
  pages = {e0281658 [27 p.]},
  ISSN = {1932-6203},
  year = {2023},
  DOI = {10.1371/journal.pone.0281658},
  URL = {https://www.documentation.ird.fr/hor/fdi:010087495},
}