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Simulation-based dynamic traffic assignment for short-term planning applications
KTH, School of Architecture and the Built Environment (ABE), Transport and Economics (closed 20110301), Traffic and Logistics (closed 20110301).
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2011 (English)In: Simulation (San Diego, Calif.), ISSN 1569-190X, E-ISSN 1878-1462, Vol. 19, no 1, 450-462 p.Article in journal (Refereed) Published
Abstract [en]

Evaluation of Intelligent Transportation Systems (ITS) at the planning level requires the use of appropriate tools that can capture the dynamic and stochastic interactions between demand and supply. The objective of this paper is to present a methodological simulation-based framework for such applications and implement it in the context of dynamic traffic assignment. The framework consists of a mesoscopic supply simulator and a demand simulator that combines OD estimation capabilities with discrete travel behavior models. Simulation-based DTA systems are particularly suited to evaluate a wide range of Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS). The simulation model performance is illustrated through two large-scale case studies in Irvine, California, and Lower Westchester County, NY.

Place, publisher, year, edition, pages
2011. Vol. 19, no 1, 450-462 p.
Keyword [en]
Simulation-based transportation planning, Intelligent Transportation Systems (ITS), Simulation-based dynamic traffic assignment (DTA), Simulation of driver behavior
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-28176DOI: 10.1016/j.simpat.2010.08.004ISI: 000284987900033Scopus ID: 2-s2.0-78049386110OAI: oai:DiVA.org:kth-28176DiVA: diva2:385321
Funder
TrenOp, Transport Research Environment with Novel Perspectives
Note
QC 20110111Available from: 2011-01-11 Created: 2011-01-10 Last updated: 2012-06-12Bibliographically approved

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