 A hybrid macroscopic-based model for traffic flow in road networksJennifer McCrea and Salissou Moutari European Journal of Operational Research, 2010, vol. 207, issue 2, 676-684 Abstract: Recently, the unquestionable growth of interest to increase the operational efficiency and capability of transportation systems led to the development of a large number of traffic modeling theories. One of the major operational issues when developing a transportation system management model lies in the selection of the appropriate methodological approach with respect to several decisions, such as the selection of the type of input and output data as well as the qualitative representation and the computational power of the model. Despite the considerable effort in the area, there is still not an approach which per se models effectively the various dynamically evolving features of traffic in road networks. The present paper addresses this issue by introducing a new hybrid approach which combines the complementary features and capabilities of both continuum mathematical models e.g. [1], [6], [23] and [26] and knowledge-based models e.g. [7], [22] and [28] in order to describe effectively traffic flow in road networks. Keywords: Vehicular; traffic; flow; Hybrid; model; Continuum; model; Knowledge-based; model (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:207:y:2010:i:2:p:676-684 Access Statistics for this article European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati More articles in European Journal of Operational Research from Elsevier |
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