We propose a method based on the discovery that almost 10%of all impaired driving calls for service involve repeat vehicles. Using the number of times a vehicle appears in our data, the average time to repeat, and the personality characteristics of the repeat impaired driver, we are able to create a comprehensive and predictive description of a Repeat Target Vehicle (RTV).
Our method provides an opportunity to explore new and innovative crime reduction strategies that were never before possible.