Record Details
Field | Value |
---|---|
Title | Using the predictive method in the 2010 Highway Safety Manual to identify hazardous intersections in Corvallis, OR |
Names |
Zhou, Yanfen
(creator) Dixon, Karen K. (advisor) |
Date Issued | 2011-06-22 (iso8601) |
Note | Graduation date: 2012 |
Abstract | An intersection, due to its vehicle and pedestrian conflict movements, experiences complex traffic situations that might contribute to crashes. In the city of Corvallis, OR, historically more than 80% of the total crashes have occurred within an intersection or have been designated as intersection-related. It is important to develop a transportation safety planning process that identifies hazardous locations so that an agency can implement improvements that provide the roadway users a safety transportation system. This thesis is focused on using the predictive method in the 2010 Highway Safety Manual (HSM) to evaluate potentially hazardous intersections in Corvallis, OR. The predictive method incorporates traffic volume, site geometric design, and traffic control features to develop predicted crashes. The procedure then applies the Empirical Bayes method to combine the predicted crash frequency with historic crash data, resulting in quantitatively reliable estimates of the expected average crash frequency. The author conducted safety analysis for 24 intersections in the city and used this analysis to identify hazardous intersections with potential safety problems. The results can assist with decision making for the city transportation safety program. |
Genre | Thesis/Dissertation |
Topic | Predictive Method |
Identifier | http://hdl.handle.net/1957/21846 |