Racial Disparities in Traffic Stops

Use Traffic Stop Data to Improve Early Intervention Systems

A more detailed and identifiable dataset (see Recommendation 8 above) should be used to develop anti-bias, early intervention, and early-warning systems. Stop data for every officer should be reviewed to detect potential bias and to intervene to mitigate bias. Agency-wide aggregate data and the actions taken should be monitored to reduce disparate outcomes.

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Collect and Disseminate Traffic Stop Data at the Agency and State Levels and Disseminate to the Public

Detailed data on officer traffic stops should be collected at the agency and state levels and submitted to a centralized state repository. These data should include the time, date, and precise location of the stop, the reason for the stop, and the outcomes, including searches and searches incidental to arrest, contraband recovery, arrests and charges, and the…

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Monitor Traffic Stop Activity for Bias and Disparate Impact

Regular monitoring of traffic stop activity will ensure there is no bias or racially disparate impact and outcomes. This analysis should be conducted at both officer- and organizational-levels (e.g., by special assignment, districts) and be broader than basic stop data, including officer behavior captured via body-worn cameras.

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Officers Should Receive Training on Using Procedural Justice Principles in Traffic Stops and Require Signed Consent for Vehicle Searches

To reduce negative interactions and potentially coercive situations, officers should receive training on using principles of procedural justice in traffic stops. Training should include skills in active listening, neutral and transparent decision-making, and demonstrating dignity and respect toward community members. Signed consent forms should be required prior to voluntary vehicle searches.

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Implement Diverse Approaches to Reduce Traffic Injuries and Fatalities

Implement a variety of evidence-based strategies to reduce traffic-related injuries and fatalities, particularly where they disproportionately occur among groups and within communities. Proposed frameworks include the Data-Driven Approaches to Crime and Traffic Safety (DDACTS) model, education campaigns, and roadway modification.

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Explore and Evaluate Alternatives to Traditional Traffic Enforcement and Roadway Safety Approaches

Alternative approaches to enforce traffic laws and improve roadway safety should be explored, including civilian-based organizations to enforce minor traffic and vehicle violations and respond to non-injury traffic collisions. Alternative strategies should be rigorously and independently evaluated for their impact on outcomes, including public safety and racially disparate impacts.

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Change Laws and Policies Regarding the Use of Pretextual (Investigative) Stops

Policies and laws that encourage or allow pretextual stops for minor safety violations, such as items hanging from mirrors, lights out, and other minor mechanical issues, should be changed.

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Abolish Performance Incentives and ‘Quotas’ Based on the Volume of Traffic Stops

Agencies must stop the use of traffic stop volume as a performance measure. Agencies should instead rely on problem-solving approaches that use stops when and where data suggests that traffic-safety issues (collisions, complaints) or crime may be prevalent.

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​Reduce Reliance on Traffic Stops

Traffic stops, while not always improving driver and pedestrian safety, must be reduced to decrease the criminalization of community members and racial and economic disparities. Alternative traffic-safety strategies focusing on high-risk behaviors, including automated tools and civilian-led traffic-safety enforcement. Alternative strategies should be rigorously evaluated to determine their effectiveness in reducing disparate impact and negative police-community…

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