2026-04-18T05:18:21Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4065092026-01-22T04:30:02Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Montero Mercadé, Lídia author Codina Sancho, Esteve author Barceló Bugeda, Jaime author 2001-05 Traffic assignment models based on the user-equilibrium approach are one of the most widely used tools in transportation planning analysis. Resulting offer a static average view of the expected use of the road infrastructure under the modeling hypothesis. This information has usually been enough for the planning decisions. The planned infrastructure is probably sufficient for average demand, but time-varying traffic, i.e., at peak periods, combined with the in¯uence of road geometry, can produce undesired congestion that can not be forecasted or analysed with the static tools. There is a clear case for a change in the analysis methodology such as combination of a traffic assignment tool, with a microscopic traffic simulator. This paper illustrates, by means of a case study, the combination of a well-known traffic assignment tool, the EMME/2 model, with a microscopic traffic simulator, Advanced InteractiveMicroscopic Simulator For Urban And Non-Urban Networks (AIMSUN2) with emphasis on the description of the specific interfaces that make consistent the combination of both tools in the Generic Environment for Traffic Analysis and Modeling (GETRAM) environment. Models for complex transportation systems should be the combination of mathematical models and computer models, to overcome, for example, the difficulties of the integration of modeling tools. GETRAM environment has an open and flexible computer architecture suitable for such purposes. Peer Reviewed Postprint (author's final draft) Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències Numerical analysis Transportation planning Microscopic simulation Graphical interfaces Motorway assesment Anàlisi numèrica Classificació AMS::65 Numerical analysis::65K Mathematical programming, optimization and variational techniques A combined methodology for transportation planning assessment: application to a case study