Some members of minority demographics believe that police officers engage in disparaging treatment and racial profiling during traffic stops. Police departments are responsible to insure such illegal action doesn’t take place. As the nature of police traffic stops are dynamic and dispersed; this is a difficult undertaking. I propose exploiting digital analytics to assist police departments with this compliance undertaking. This paper describes the development of a digital reporting and analysis system of police traffic stops. The system will use data directly from the North Carolina State Bureau of Investigation (NCSBI) police traffic stops database. The system will be organized around data variables of police traffics stops, stops by race, stops by gender, stops by ethnicity and enforcement actions by police officers. This system will display tables, graphs and analysis based on the PowerBi digital analytical platform. The paper will provide an explanation of the data collection process, the technologies used, the system architecture and the challenges encountered during the creation process. The paper also explores several analytical methods. The successful result of this project is a robust cloud-based digital reporting and analysis system available on a self-service portal to assist police leadership with management of officer traffic stops.

Recommended Citation: Seay J., Kline D., Vetter R., Cummings J., Hill S., Deacon C., (2020). PTSARS: Police Traffic System and Analysis Reporting System. UNCW MS CSIS Proceedings. V. 14 , N. 4 .