Predicting the offender: Frequency versus bayes

In this paper two Bayesian approaches and a frequency approach are compared on predicting offender output variables based on the input of crime scene and victim variables. The K2 algorithm, Naïve Bayes and frequency approach were trained to make the correct prediction using a database of 233 solved Dutch single offender/single victim homicide...

Development of a prediction model for speed limit violations on tangent road sections

Speeding and red light running are among the major causes for road crashes. Respectively, speeding is more crucial for rural areas, whereas red light running is more frequent in urban areas where most of the traffic lights are located. To adequately address both issues consistent actions are needed in three main directions (also known as the...