Publications des scientifiques de l'IRD

Tu Dang-Huu, Gaudou Benoît, Doanh Nguyen-Ngoc, Ngoc C. Lê. (2020). An agent-based model for mixed traffic in Vietnam based on virtual local lanes. In : The 2020 12th international conference on knowledge and systems engineering (KSE) : IEEE KSE 2020. Piscataway : IEEE, 147-152. IEEE KSE 2020. International Conference on Knowledge and Systems Engineering, 12., Can Tho (VNM), 2020/11/12-14. ISBN 978-1-7281-4511-2.

Titre du document
An agent-based model for mixed traffic in Vietnam based on virtual local lanes
Année de publication
2020
Type de document
Article référencé dans le Web of Science WOS:000687563100025
Auteurs
Tu Dang-Huu, Gaudou Benoît, Doanh Nguyen-Ngoc, Ngoc C. Lê
In
The 2020 12th international conference on knowledge and systems engineering (KSE) : IEEE KSE 2020
Source
Piscataway : IEEE, 2020, 147-152 ISBN 978-1-7281-4511-2
Colloque
IEEE KSE 2020. International Conference on Knowledge and Systems Engineering, 12., Can Tho (VNM), 2020/11/12-14
The rapid urbanization and urban spread in developing countries create a huge number of challenges urban planners have to face. As an example, congestion has become a major issue in Vietnam and caused huge economic losses as well as an increase in air pollutant emissions. Tackling such an issue requires huge improvements in the city organization and infrastructure. Choosing the most appropriate solution among existing ones or imagining new ones require tools to understand their impact and assess their feasibility, effectiveness and acceptability. Computer 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). Existing tools have nevertheless mainly been designed for cities with traffic dominated by cars that are supposed to respect regulations. These assumptions cannot be applied to traffic in Vietnam which is characterized by a mix of cars, motorbikes and other vehicle types and low respect of road lanes. This paper proposes an agent-based model simulating in a more realistic way the traffic in Vietnam using the GAMA platform. We 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.
Plan de classement
Sciences du milieu [021] ; Economie : secteurs d'activité [096] ; Urbanisation et sociétés urbaines [102] ; Informatique [122]
Description Géographique
VIET NAM ; HANOI
Localisation
Fonds IRD [F B010084184]
Identifiant IRD
fdi:010084184
Contact