Abstract
Errors and inconsistencies in crash location records are realistic problems that often compromise accuracy of safety model outcomes. This paper proposes a new safety analysis framework where an optimal network design module that estimates the most-probable site for each crash is combined with the standard regression analysis. An effective solution algorithm based on Lagrangian relaxation is developed for the network design model, and an iterative computation approach is proposed for location estimation and statistical regression. The proposed models are implemented with empirical data and numerical results are presented.
Original language | English (US) |
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Pages (from-to) | 202-209 |
Number of pages | 8 |
Journal | Accident Analysis and Prevention |
Volume | 41 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2009 |
Keywords
- Crash location error
- Lagrangian relaxation
- Network design model
- Transportation safety analysis
ASJC Scopus subject areas
- Human Factors and Ergonomics
- Safety, Risk, Reliability and Quality
- Public Health, Environmental and Occupational Health
- Law