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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53987#.VN21IyzQrzE
ABSTRACT
The
identification and selection of performance measures play an important
role in any decision making process. Additionally, millions of dollars
are spent on appropriate planning and identification of prospective
projects for improvements. As a result, current practitioners spend a
lot of time and money in prioritizing their limited resources. This
research proposes two tasks: 1) estimation of performance measures using
a simulation based on dynamic traffic assignment model, and 2)
development of a methodology to evaluate multiple projects based on
benefit-cost analysis. The model, DynusT, is used for the Las Vegas
roadway network during the morning peak time period. A comparative
analysis of the results from proposed methodology with existing
California Benefit-Cost (Cal-B/C) models is presented. The results
indicate that the new methodology provides an accurate benefit-cost
ratio of the projects. In addition, it signifies that the existing
Cal-B/C models underestimate the benefits associated with the
prospective project improvements. The major contribution of this
research is the simultaneous estimation of the performance measures and
development of a methodology to evaluate multiple projects. This is
helpful to decision makers to rank and prioritize future projects in a
cost-effective manner. Planning and operational policies for the
transportation systems can be developed based on the gained insights
from this study.
KEYWORDS
Performance Measures, Travel Demand Models, Dynamic Traffic Assignment, Benefit-Cost Analysis, California Benefit-Cost Models
Cite this paper
References
Maheshwari, P. and Paz, A. (2015) Development of a Methodology to Evaluate Projects Using Dynamic Traffic Assignment Models. Open Journal of Applied Sciences, 5, 50-61. doi: 10.4236/ojapps.2015.52006.
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