Statistical analysis for traffic data
The purpose of this research is to recode and describe data in terms of the nature and extent of fatality-involved crashes in Texas by using comprehensive policereported data set. Various factors including responsible drivers' information, time, climatic information, crash information, geometric conditions of road, and contribution factors from drivers were analyzed. After summarizing these effects, a logistic regression model is built to explain the likelihood of an intersection-involved crash as a function of some of variables. These findings could be used to enhance the enforcement of engineering.