A simulation optimization-based decision support tool for mitigating traffic congestion

S H Melouk, B B Keskin, C Armbrester and M Anderson
Additional contact information
S H Melouk: The University of Alabama, Tuscaloosa, AL, USA
B B Keskin: The University of Alabama, Tuscaloosa, AL, USA
C Armbrester: The University of Alabama, Tuscaloosa, AL, USA
M Anderson: The University of Alabama Huntsville, Huntsville, AL, USA

Journal of the Operational Research Society, 2011, vol. 62, issue 11, 1971-1982

Abstract: Traffic congestion has grown considerably in the United States over the past 20 years. In this paper, we develop a robust decision support tool based on simulation optimization to evaluate and recommend congestion mitigation strategies to transportation system decision-makers. A tabu search-based optimizer determines different network design strategies on the road network while a traffic simulator evaluates the goodness of fit. The tool is tested with real-world traffic data.

Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.palgrave-journals.com/jors/journal/v62/n11/pdf/jors2010168a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/jors/journal/v62/n11/full/jors2010168a.html Link to full text HTML (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:jorsoc:v:62:y:2011:i:11:p:1971-1982

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook

More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().