In-depth analysis of traffic congestion using computational fluid dynamics (CFD) modeling method
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
This paper introduces computational fluid dynamics (CFD), a numerical approach widely and successfully used in aerospace engineering, to deal with surface traffic flow related problems. After a brief introduction of the physical and mathematical foundations of CFD, this paper develops CFD implementation methodology for modeling traffic problems such as queue/platoon distribution, shockwave propagation, and prediction of system performance. Some theoretical and practical applications are discussed in this paper to illustrate the implementation methodology. It is found that CFD approach can facilitate a superior insight into the formation and propagation of congestion, thereby supporting more effective methods to alleviate congestion. In addition, CFD approach is found capable of assessing freeway system performance using less ITS detectors, and enhancing the coverage and reliability of a traffic detection system.
Details
Original language | English |
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Pages (from-to) | 58-67 |
Number of pages | 10 |
Journal | Journal of Modern Transportation : JMT |
Volume | 19 |
Issue number | 1 |
Publication status | Published - Mar 2011 |
Peer-reviewed | Yes |
Externally published | Yes |
External IDs
ORCID | /0000-0002-2939-2090/work/141543910 |
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Keywords
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- CFD, Euler's equation, Queue/platoon, Shockwaves, System performance monitoring