Towards an Multilevel Agent-based Model for Traffic Simulation | Zendy

Igor Tchappi | Zendy; Vivient Corneille Kamla | Zendy; Stéphane Galland | Zendy; Jean Claude Kamgang | Zendy

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Towards an Multilevel Agent-based Model for Traffic Simulation

Author(s) -

Igor Tchappi,

Vivient Corneille Kamla,

Stéphane Galland,

Jean Claude Kamgang

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.416

Subject(s) - computer science , macro , scale (ratio) , a priori and a posteriori , hierarchical database model , multilevel model , selection (genetic algorithm) , traffic simulation , industrial engineering , operations research , artificial intelligence , data mining , machine learning , microsimulation , transport engineering , philosophy , physics , epistemology , quantum mechanics , engineering , programming language

Large scale road traffic is a complex system that could be modelled with a multilevel approach. Most of the multilevel models from the literature have fixed a priori the two levels of detail (micro-meso, micro-macro, meso-macro). This paper has two goals: it presents the state of the art related to large scale traffic models, and it gives the main research direction to create a novel multilevel model that support dynamic selection of the level during the simulation. Our proposal is based on an organizational modelling approach and the use of the concept of holon (agent composed of agents).

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