Multidimensional Data Analysis Based on LOGIT Model

Abstract Logit Model is an important method for empirical analysis of multi-source data. In order to explore the traffic safety mechanism, The Paper taked behavior data as example, researched personal characteristics truck drivers, Analyzed influence driver’s traits on violations. Based binary logistics regression model, model violations was established. results show that personality, license level, daily driving time, transportation route, vehicle ownership, and occupational disease are factors affect drivers’ Further shows drivers with bile personalities, more than 12 h per day, no fixed routes, vehicles loans have highest probability conclusion provides basis driver management improving safety.