In-depth analysis of traffic congestion using computational fluid dynamics (CFD) modeling method

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Dazhi Sun - , Texas A&M University (Author)
  • Jinpeng Lv - , Texas A&M University (Author)
  • Travis T. Waller - , University of Texas at Austin (Author)

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 languageEnglish
Pages (from-to)58-67
Number of pages10
JournalJournal of Modern Transportation : JMT
Volume19
Issue number1
Publication statusPublished - Mar 2011
Peer-reviewedYes
Externally publishedYes

External IDs

ORCID /0000-0002-2939-2090/work/141543910

Keywords

Keywords

  • CFD, Euler's equation, Queue/platoon, Shockwaves, System performance monitoring