Simulation-based dynamic traffic assignment for short-term planning applications

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 applic...

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Published in	Simulation modelling practice and theory Vol. 19; no. 1; pp. 450 - 462
Main Authors	Sundaram, Srinivasan, Koutsopoulos, Haris N., Ben-Akiva, Moshe, Antoniou, Constantinos, Balakrishna, Ramachandran
Format	Journal Article
Language	English
Published	Elsevier B.V 2011
Subjects	Civil engineering and architecture Computer simulation Demand Dynamic tests Dynamical systems Dynamics Information systems Intelligent Transportation Systems (ITS) Samhällsbyggnadsteknik och arkitektur Simulation of driver behavior Simulation-based dynamic traffic assignment (DTA) Simulation-based transportation planning TECHNOLOGY TEKNIKVETENSKAP Traffic engineering Traffic flow Intelligent Transportation Systems (ITS) Simulation-based dynamic traffic assignment (DTA) Simulation-based transportation planning Simulation of driver behavior
Online Access	Get full text
ISSN	1569-190X 1878-1462 1878-1462
DOI	10.1016/j.simpat.2010.08.004

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Abstract	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.
AbstractList	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.
Author	Balakrishna, Ramachandran Sundaram, Srinivasan Koutsopoulos, Haris N. Antoniou, Constantinos Ben-Akiva, Moshe
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Cites_doi	10.1023/A:1004968411792 10.1023/A:1012831808926 10.1002/net.3230120209 10.1016/j.trb.2008.06.007 10.1109/7.705889 10.3141/2085-04 10.3141/2003-07 10.1287/trsc.35.2.134.10138 10.3141/1831-08 10.1016/S1474-6670(17)43892-4 10.1016/0191-2607(91)90144-F 10.1023/A:1012827724856 10.1109/TITS.2007.908569 10.1016/j.ejor.2006.07.054
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Title	Simulation-based dynamic traffic assignment for short-term planning applications
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