@incollection{fdi:010084184,
  title = {{A}n agent-based model for mixed traffic in {V}ietnam based on virtual local lanes},
  author = {{T}u {D}ang-{H}uu and {G}audou, {B}eno{\^i}t and {D}oanh {N}guyen-{N}goc and {N}goc {C}. {L}{\^e}},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he rapid urbanization and urban spread in developing countries create a huge number of challenges urban planners have to face. {A}s an example, congestion has become a major issue in {V}ietnam and caused huge economic losses as well as an increase in air pollutant emissions. {T}ackling such an issue requires huge improvements in the city organization and infrastructure. {C}hoosing the most appropriate solution among existing ones or imagining new ones require tools to understand their impact and assess their feasibility, effectiveness and acceptability. {C}omputer simulation is a tool of choice to assess the interactions between dynamics at both macro-level (the city) or micro-level (a single road or a crossroad). {E}xisting tools have nevertheless mainly been designed for cities with traffic dominated by cars that are supposed to respect regulations. {T}hese assumptions cannot be applied to traffic in {V}ietnam which is characterized by a mix of cars, motorbikes and other vehicle types and low respect of road lanes. {T}his paper proposes an agent-based model simulating in a more realistic way the traffic in {V}ietnam using the {GAMA} platform. {W}e illustrate its capabilities on two characteristic toy case studies (straight road and crossroad) and a real case study in rush hour and lower traffic situations.},
  keywords = {{VIET} {NAM} ; {HANOI}},
  booktitle = {{T}he 2020 12th international conference on knowledge and systems engineering ({KSE}) : {IEEE} {KSE} 2020},
  numero = {},
  pages = {147--152},
  address = {{P}iscataway},
  publisher = {{IEEE}},
  series = {},
  year = {2020},
  DOI = {10.1109/{KSE}50997.2020.9287400},
  ISBN = {978-1-7281-4511-2},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084184},
}