the highway safety manual [hsm, 2010] recommends safety evaluations be performed beforeimplementing any roadway treatment to predict the expected safety consequences. safety consequences canbe measured using crash prediction models, crash modification factor (cmfs), or both. this paperdevelops a cmf to show the expected impact of red-light cameras (rlcs) on safety at signalizedintersections. a ...

Crash modification factors (CMFs) for road safety treatments are usually obtained through observational models based on reported crashes. Observational Bayesian before-and-after methods have been applied to obtain more precise estimates of CMFs by accounting for the regression-to-the-mean bias inherent in naive methods. However, sufficient crash data reported over an extended period of time are...

This study aimed to investigate the relative performance of two models (negative binomial (NB) model and two-component finite mixture of negative binomial models (FMNB-2)) in terms of developing crash modification factors (CMFs). Crash data on rural multilane divided highways in California and Texas were modeled with the two models, and crash modification functions (CMFunctions) were derived. T...

traffic events account for about 1,200,000 deaths and more than 50 million injuries annually across the world. research shows that male drivers make up the majority of those who sustain injuries in car accidents. the present research aims to compare psychological factors affecting driving-related crashes of male and female drivers. accordingly, the sample data is collected from 208 crash-involv...

1 Crash modification factors (CMFs) can be used to capture the safety effects of countermeasures 2 and play significant roles in traffic safety management. As an alternative to the before-after 3 study, the regression model method has been widely used for estimating CMFs. Although before4 after studies are considered to be superior, the use of regression models for estimating CMFs has 5 never b...

This study further examined the use of regression models for developing crash modification factors (CMFs), specifically focusing on the misspecification in the link function. The primary objectives were to validate the accuracy of CMFs derived from the commonly used regression models (i.e., generalized linear models or GLMs with additive linear link functions) when some of the variables have no...