Pedestrian fatality rate plays a key role in examining effectiveness of the road safety. The present study attempts to examine effect various categories accused vehicles and average 85th percentile speed at accident location on pedestrian crash fatality. also develop severity models using binary logistic regression boosted trees technique. Historical data, along with video recording technique s...

backgrounds and aims: the tehran province was subject to the second highest incidence of fatalities due to traffic accidents in 1390. most studies in this field examine rural traffic accidents, but this study is based on the use of logit models and artificial neural networks to evaluate the factors that affect the severity of accidents within the city of tehran. materials and methods: among the...

The objective of this article is to evaluate the performance of the COM-Poisson GLM for analyzing crash data exhibiting underdispersion (when conditional on the mean). The COM-Poisson distribution, originally developed in 1962, has recently been reintroduced by statisticians for analyzing count data subjected to either over- or underdispersion. Over the last year, the COM-Poisson GLM has been e...

Increasing evidence suggests that neighborhood-based measures of socioeconomic status are correlated with traffic injury. The main objective of this study is to determine the differences in associations between predictive variables and injury crashes (i.e. including injury and fatal crashes). To this end, crash data, socio-demographic, socioeconomic characteristics and road network variables ar...

This paper is the first attempt to fit a stochastic cusp catastrophe model to stock market data. We show that the cusp catastrophe model explains the crash of stock exchanges much better than other models. Using the data of U.S. stock markets we demonstrate that the crash of October 19, 1987, may be better explained by cusp catastrophe theory, which is not true for the crash of September 11, 20...

In the context of work zone safety, worker presence and its impact on crash severity has been less explored. Moreover, there is a lack research contributing factors by time-of-day. To accomplish this, first mixed logit model was used to determine statistically significant their effects. Significant in both models included work-zone-specific characteristics crash-specific characteristics, where ...

Reactive traffic management strategies such as incident detection are becoming less relevant with the advancement of mobile phone usage. Freeway management in the 21st century needs to shift focus toward proactive strategies that include anticipating incidents such as crashes. A simple approach to identify freeway locations with high probability of crashes through real-time traffic surveillance...

This paper addresses a novel idea of real-time traffic safety improvement on freeways. First by predicting traffic crashes on the freeway mainline using on-line loop detector data, then by proposing ITS remediation strategies to reduce the crash risk in real-time. The results of the predictive models were found to be consistent with the probable mechanisms of crashes under different flow regime...

background: infertile couples are faced with problems that affect their marital life. infertility treatment is expensive and time consuming and occasionally isn’t simply possible. prediction models for infertility treatment have been proposed and prediction of treatment success is a new field in infertility treatment. because prediction of treatment success is a new need for infertile couples, ...