This study examines the feasibility of Bayesian and data envelopment techniques for robust identification of safety priorities in the Washington State DOT improvement program. Findings indicate that the methods employed in this study have potential for reliable predictions and identification of safety needs. A case study dataset of high accident locations was used to make this assessment.
March 28, 2007
Venky Shankar, Ming-Bang Shyu, Sittipan Sittikariya, Saiyid Sikder.
Pennsylvania Transportation Institute.
- # of Pages: 109 p., 700 KB (PDF)
- Subject: Mathematical prediction, Highway safety, Highway factors in accidents, Accident causes, Safety management, Mathematical models.
- Keywords: Safety prioritization, Bayesian methods, data envelopment analysis.
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This abstract was last modified January 26, 2009