Quality issues related to commercial driver license (CDL) data present ongoing challenges to state and federal transportation agencies. This study highlights several problems with CDL data, including a lack of standardization for state-specific traffic infractions; process and workflow difficulties that degrade the accuracy, validity, and timeliness of data; adjudication procedures that can potentially mask serious violations from CDL driver history records; inadequate recordkeeping in state law enforcement citation and court case management software applications; outdated mainframe systems in urgent need of upgrades; IT personnel who are not paid enough; and insufficient reporting requirements for federal agencies that issue traffic citations. Best practices states can adopt to resolve these issues include undertaking renewed efforts to standardize state traffic infraction codes and equivalency tables; increasing automation of data entry and reducing repetitive data entry processes; amplifying outreach efforts to law enforcement officials, prosecutors, and judges that are focused on the federal guidelines which govern the adjudication of CDL-related infractions and their application to driver history records; including a CDL indicator in citation and adjudication software so that researchers and analysts can better track how CDL-related traffic are handled; increasing investments in new IT systems as well as personnel recruitment and retention; and improving coordination between federal agencies and the Central Violations Bureau so that traffic citations are reported to state agencies quicker.

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