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Dynamic Network Traffic Assignment and Simulation Methodology for Advanced System Management Applications

Dynamic Network Traffic Assignment and Simulation Methodology for Advanced System Management... Evaluation and operation of intelligent transportation system technologies in transportation networks give rise to methodological capabilities that require description of the dynamics of network traffic flows over time and space. Both descriptive and normative dynamic traffic assignment capabilities are required in this environment. Several dynamic network flow modeling problem formulations that arise in this context are discussed, and simulation-assignment procedures are described for these problems. A dynamic traffic assignment (DTA) system for advanced traffic network management is described. It is built around a traffic simulation-assignment modeling framework, which describes the evolution of traffic patterns in the network for given traffic loading under particular control measures and route guidance information supply strategies to individual motorists. The simulator is also embedded in an interactive search algorithm to determine optimal route guidance instructions to motorists. Numerical experiments with the model illustrate the relative effectiveness of different information supply strategies under different user behavior response rules. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Networks and Spatial Economics Springer Journals

Dynamic Network Traffic Assignment and Simulation Methodology for Advanced System Management Applications

Networks and Spatial Economics , Volume 1 (4) – Oct 1, 2004

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References (25)

Publisher
Springer Journals
Copyright
Copyright © 2001 by Kluwer Academic Publishers
Subject
Economics; Regional/Spatial Science; Civil Engineering; Operation Research/Decision Theory
ISSN
1566-113X
eISSN
1572-9427
DOI
10.1023/A:1012831808926
Publisher site
See Article on Publisher Site

Abstract

Evaluation and operation of intelligent transportation system technologies in transportation networks give rise to methodological capabilities that require description of the dynamics of network traffic flows over time and space. Both descriptive and normative dynamic traffic assignment capabilities are required in this environment. Several dynamic network flow modeling problem formulations that arise in this context are discussed, and simulation-assignment procedures are described for these problems. A dynamic traffic assignment (DTA) system for advanced traffic network management is described. It is built around a traffic simulation-assignment modeling framework, which describes the evolution of traffic patterns in the network for given traffic loading under particular control measures and route guidance information supply strategies to individual motorists. The simulator is also embedded in an interactive search algorithm to determine optimal route guidance instructions to motorists. Numerical experiments with the model illustrate the relative effectiveness of different information supply strategies under different user behavior response rules.

Journal

Networks and Spatial EconomicsSpringer Journals

Published: Oct 1, 2004

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