Development of Advanced Traffic Flow Models and Implementation in Parallel Processing: Final Report

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Development of Advanced Traffic Flow Models and Implementation in Parallel Processing: Final Report

Published Date

1992-10

Publisher

Type

Report

Abstract

Advanced traffic management and control schemes require that traffic simulation models be adequately accurate and computationally efficient in describing traffic flow dynamics. It is proved by practice that the continuum models are more suitable for such purposes. The KRONOS model, developed at the University of Minnesota for traffic flow simulations, is based on a simple continuum formulation implemented by a finite difference method. The results show that the program can be used for transportation planning, design, maintenance operations and freeway management. The main purpose of this project, funded by the Center for Transportation Studies of the University of Minnesota, is to reduce the above flaws by developing advanced traffic flow models. Moreover, various numerical methods are investigated in this project.

Description

Related to

Replaces

License

Collections

Series/Report Number

Funding information

Center for Transportation Studies

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Lyrintzis, Anastasios; Michalopoulos, Panos; Chronopoulos, Anthony. (1992). Development of Advanced Traffic Flow Models and Implementation in Parallel Processing: Final Report. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/156891.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.