%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Thi Ngoc Anh Nguyen 
%A Zucker, Jean-Daniel
%A Huu Du Nguyen
%A Drogoul, Alexis
%A Duc An Vo
%T A hybrid macro-micro pedestrians evacuation model to speed up simulation in road networks
%B Advanced agent technology : AAMAS 2011 Workshops : AMPLE, AOSE, ARMS, DOCM3AS, ITMAS : Taipei, Taiwan, May 2-6, 2011 : revised selected papers
%C Berlin (DEU) ; Heidelberg
%D 2012
%E Dechesne, F.
%E Hattori, H.
%E Mors, A.T.
%E Such, J.M.
%E Weyns, D.
%E Dignum, F.
%L fdi:010079270
%G ENG
%I Springer
%@ 978-3-642-27215-8
%K VIET NAM
%K NHATRANG
%M ISI:000308672800028
%N 7068
%P 371-383
%R 10.1007/978-3-642-27216-5_28
%U https://www.documentation.ird.fr/hor/fdi:010079270
%> https://www.documentation.ird.fr/intranet/publi/depot/2020-09-14/010079270.pdf
%W Horizon (IRD)
%X The major methodologies of crowd simulation in a dynamic environments are either based on micro or macro models. These two types of models represent the trade-off between the level of detail and efficiency. The domain of pedestrian flow simulation on road networks is no exception and theories rely either on equation based model or agent based models. There is a growing interest in hybrid modeling that combines both of these types. This paper addresses the problem of combining both micro and macro models of pedestrians movement to speedup simulations. Hybrid model uses efficient macro modeling in part of the road networks that do not require a fine grained model and more detailed but less efficient micro modeling in critical locations. One key issue raised by such an approach and discussed is the consistency of the resulting hybrid model. Preliminary results presented in this article is a proof of concept that the use of hybrid model to simulate evacuation plan in road networks may be more efficient than the use of micro model alone.
%S Lecture Notes in Computer Science
%B International Conference on Autonomous Agents and Multiagent Systems
%8 2011/05/02-06
%$ 122 ; 102