Master of Engineering (ME)
Civil and Environmental Engineering
First Committee Member
Number of Pages
The research objective was to develop a statistical model that related right-turn related crashes (RTRC) to volumetric factors at High Crash Locations (HCL) in the Las Vegas Valley. Information from selected HCL was analyzed with simple bivariate regression analysis and multiple regression analysis; Response variables included the number of RTRC, the ratio of RTRC/Million Entering Vehicles (MEV), and the ratio of RTRC/Total Intersection Crashes. Predictor variables included Right-Turn Volume, Right-Turn-On-Red Volume, Red Time/Cycle Time Percentage, Cross Product (per 1000 Vehicles) of Right-Turn Volumes and Opposing Through Volumes [Cross Product], Frequency of Gaps greater than 6.5 seconds [Gaps > 6.5 s], and the Frequency of Gaps less than 6.5 seconds [Gaps < 6.5 s]; Regression models of the relationships between these particular responses and predictor variables were found to explain up to 15% of the given data.
Crash; Crashes; Locations; Models; Nevada; Las Vegas; Statistical; Turn; Valley; Vegas
University of Nevada, Las Vegas
If you are the rightful copyright holder of this dissertation or thesis and wish to have the full text removed from Digital Scholarship@UNLV, please submit a request to email@example.com and include clear identification of the work, preferably with URL.
Villaluz, Paul John, "Statistical models for right-turn related crashes at high crash locations in the Las Vegas Valley" (2006). UNLV Retrospective Theses & Dissertations. 1995.