International Registration Plan Inc

THE PURPOSE OF THE PROJECT PROPOSED BY THE INTERNATIONAL REGISTRATION PLAN, INCORPORATED IS TO PROVIDEHOSTING, MAINTENANCE, AND OPERATIONS SUPPORT FOR THE DATA REPOSITORY ENHANCE THE DATA QUALITY PROGRAMFOR THE INTERNATIONAL REGISTRATION PLAN TO FURTHER IMPROVE THE QUALITY OF VEHICLE REGISTRATION DATA AND MAKEIT MORE USEFUL FOR LAW ENFORCEMENT HOST A DATA QUALITY FORUM AND SHOWCASE TECHNOLOGY TO DEMONSTRATE THEIMPROVED QUALITY DATA FOR ROADSIDE ENFORCEMENT ENSURE THE SECURITY AND AVAILABILITY OF REPOSITORY DATA,AND PROVIDE BENEFIT TO FEDERAL AND JURISDICTIONAL STAKEHOLDERS, AS WELL AS LAW ENFORCEMENT, BY ENHANCINGTHE DATA REPOSITORY TO AUTOMATICALLY SYNCHRONIZE DATA BETWEEN THE IT AND FMCSA.

THIS PROJECT WILL IMPROVE COMMERCIAL VEHICLE SAFETY BY ENHANCING THE IRP DATA REPOSITORY (IDR) AND SUPPORTING REAL-TIME ELECTRONIC INSPECTIONS THROUGH A NEW LEVEL VIII SYSTEM. IT WILL HELP SHARE ACCURATE, SECURE REGISTRATION DATA WITH FMCSA AND LAW ENFORCEMENT TO SUPPORT SAFER AND MORE EFFICIENT ROADSIDE ENFORCEMENT. THE KENTUCKY TRANSPORTATION CENTER WILL MANAGE THE PROJECT AND SUPPORT IMPROVEMENTS TO THE IDR SYSTEM, WHILE SEIKOSOFT WILL HANDLE HOSTING, MAINTENANCE, AND TECHNICAL SUPPORT. A NEW LEVEL VIII REPOSITORY WILL BE CREATED TO ENABLE REAL-TIME CMV INSPECTIONS AND IMPROVE SAFETY DATA SHARING.

FY 2019 HP-CMV GRANT PROGRAM

FY 2021 HIGH PRIORITY-COMMERCIAL MOTOR VEHICLE (HP-CMV) GRANT PROGRAM

MONITOR AND IMPROVE CORRECTION AND TIMELY RESUBMITTALS OF REJECTED VEHICLE REGISTRATION FILES. THIS PROJECT SEEKS TO IDENTIFY AND DOCUMENT THOSE REJECTED DATA FILES REQUIRING CORRECTION AND ANALYZE THE NUMBER AND PERCENTAGE OF REJECTED FILES SUBSEQUENTLY CORRECTED, RETURNED, AND SUCCESSFULLY PROCESSED THROUGH THE IDR ALONG WITH THEIR CORRESPONDING TIMELINES.MONITOR AND IMPROVE THE TOTAL NUMBER OF VEHICLE REGISTRATION FILES TRANSMITTED FROM END-TO-END. THIS PROJECT SEEKS TO IDENTIFY AND DOCUMENT THE SUCCESSFUL END-TO-END COMPLETION OF DATA FILE TRANSMISSIONS ALONG THE IDR DATA PATHWAY ACROSS EACH NODE BY NUMBER AND PERCENTAGE AND ANALYZE MISSING (I.E., DROPPED) RECORDS FOR CAUSAL FACTORS AND OR UNDERLYING TRENDS.MONITOR AND IMPROVE DATA RECONCILIATION BETWEEN INITIAL BASELINING AND END-OF-MONTH DATA. WE WILL USE THE DATA PATHWAY ANALYSIS WITHIN THIS STUDY TO IDENTIFY THE NUMBER AND PERCENTAGE OF UNEXPECTED DISCREPANCIES AND THEIR ASSOCIATED ATTRIBUTES (E.G., DATA DICTIONARY FIELDS) AND ANALYZE FOR CAUSAL FACTORS AND OR UNDERLYING TRENDS.