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

被引：5

作者：

Melouk, S. H. ^{[1
]}

Keskin, B. B.

Armbrester, C.

Anderson, M. ^{[2
]}

机构：

[1] Univ Alabama, Dept Informat Syst Stat & Management Sci, Tuscaloosa, AL 35487 USA

[2] Univ Alabama, Huntsville, AL 35899 USA

来源：

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | 2011年 / 62卷 / 11期

关键词：

heuristics; simulation; traffic; decision support systems; strategic planning; practice of OR; ROAD NETWORK DESIGN; ALGORITHM; MODELS; SYSTEM;

D O I：

10.1057/jors.2010.168

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

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. Journal of the Operational Research Society (2011) 62, 1971-1982. doi:10.1057/jors.2010.168 Published online 15 December 2010

引用

页码：1971 / 1982

页数：12

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