Reimagining public safety: Improving equity and accuracy
The latest in a series of articles from Conduent Transportation explains how automated traffic enforcement is removing the potential for prejudice from law enforcement, making it more accurate and equitable.
We are all human, and no matter how much professional expertise we may possess, we are inherently more error-prone than automated systems. Research on enforcement confirms this theory, finding that bias is evident whenever human-issued tickets are compared to those captured by cameras.
Camera-based traffic enforcement is automatic and systematic, and that means that violations are captured more consistently, accurately and equitably. Red light cameras, for example, automatically capture every vehicle that runs a red light, using the traffic signal itself and sensors that monitor vehicle location. It’s also standard practice to have a person trained to validate violations and confirm that there is clear evidence before a citation is issued to a vehicle owner. Bloomberg reports that more widespread use of automated traffic enforcement would “result in more consistent, fair and comprehensive enforcement of traffic laws.”