Reimagining public safety: Improving equity and accuracy

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.”

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