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Operational macroscopic modeling of complex urban road intersections
Ecole Polytechnique Fédérale de Lausanne (EPFL), School of Architecture, Civil and Environmental Engineering (ENAC), Transport and Mobility Laboratory (TRANSP-OR), Lausanne, Switzerland.
2011 (English)In: Transportation Research Part B: Methodological, ISSN 0191-2615, Vol. 45, no 6, 903-922 p.Article in journal (Refereed) Published
Abstract [en]

This article describes a new approach to the macroscopic first order modeling and simulation of traffic flow in complex urban road intersections. The framework is theoretically sound, operational, and comprises a large body of models presented so far in the literature.

Working within the generic node model class of Tampere et al. (2011), the approach is developed in two steps. First, building on the incremental transfer principle of Daganzo et al. (1997), an incremental node model for general road intersections is developed. A limitation of this model (as of the original incremental transfer principle) is that it does not capture situations where the increase of one flow decreases another flow, e.g., due to conflicts. In a second step, the new model is therefore supplemented with the capability to describe such situations. A fixed-point formulation of the enhanced model is given, solution existence and uniqueness are investigated, and two solution algorithms are developed. The feasibility and realism of the new approach is demonstrated through a synthetic and a real case study.

Place, publisher, year, edition, pages
2011. Vol. 45, no 6, 903-922 p.
Keyword [en]
Traffic flow modeling, Intersection modeling, Cell-transmission model, Kinematic waves
National Category
Transport Systems and Logistics
URN: urn:nbn:se:kth:diva-76742DOI: 10.1016/j.trb.2011.04.001ISI: 000291902500005OAI: diva2:491115
TrenOp, Transport Research Environment with Novel Perspectives
TSC import 810 2012-02-06. QC 20120208Available from: 2012-02-06 Created: 2012-02-06 Last updated: 2012-06-12Bibliographically approved

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Flötteröd, Gunnar
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