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Electronic Records Validation for IRP & IFTA

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Presentation on theme: "Electronic Records Validation for IRP & IFTA"— Presentation transcript:

1 Electronic Records Validation for IRP & IFTA
VISION: Replace IRP cab cards and IFTA licenses and decals with verifiable Electronic IRP and IFTA records that improve compliance and enforcement in North America. q

2 Task Force Current Membership
Jeff Hood – Chair (Indiana) Jay Sween – Vice Chair (Wisconsin) Scott Greenawalt (Oklahoma) Garry Hinkley (Maine) Deann Williams (Kansas) Brian Beaven (Kentucky) Peter Hurst (Ontario) Mark Bell (University of Kentucky) Steven Haywood (British Columbia) Rob Ide (Vermont) Lonette Turner (IFTA, Inc.) Anne Ferro (AAMVA) Collin Mooney (CVSA) Bob Pitcher (ATA) Allison Fradette (CCMTA) Richard Harris (Penske) Lanny Gower (XPO Logistics Freight) Tom Kelly (FMCSA) Tim Adams (IRP, Inc.) Ken Carey (IRP, Inc. q

3 Goals and Objectives Support IRP and IFTA enforcement
Potential to eliminate paper (IRP cab card and IFTA license & decals) Improved compliance Positive revenue impact Reduced cost for both jurisdictions and industry overtime Leveling the playing field q

4 Goals and Objectives Reduction in fraud
Improved, complete data quality Improved accessibility to accurate data Improved efficiency Allow interfacing with existing systems Aid in enhancing roadside electronic inspections Flexible and scalable Inclusive q

5 Solution Options Jurisdiction holding the credentials is known
No Central Database Option 2 Centralized Database Jurisdiction holding the credentials is unknown Option 3 Pointer System

6 Centralized Database eCredentials stored in a central server
Jurisdictions to update data in the central server regularly eCredentials System will consist of: A central database Set of batch programs to receive and process data from Jurisdictions An application to process inquiries from Law Enforcement

7 Centralized Database -Considerations
Jurisdictions have to develop batch programs to send additions, deletions and modifications of the eCredentials to the central server Labor and data center cost to maintain the eCredentials System Data integrity between central database and Jurisdictions have to be maintained Batch introduces discrepancy which would need to be addressed regularly

8 No Central Database

9 No Central Database eCredentials stored at the jurisdictions
Routing program / Enterprise Service Bus to receive request from Law Enforcement and route the request to appropriate jurisdiction

10 No Central Database - Considerations
Less development work for the Jurisdictions No need for a centralized database; no associated data storage costs Avoids data integrity issues Law enforcement receives data in real time

11 Pointer System Pointers to eCredentials stored in the Central Pointer Database Jurisdictions update pointer data real time eCredentials System will consist of: A pointer database Process to update the pointers An application to process inquiries from Law Enforcement

12 Pointer System - Considerations
More development work for the Jurisdictions Need for a central pointer database and associated data storage cost Pointer system could keep history of the vehicle credential movement Law enforcement receives data in real time

13 Summary Centralized Database No Central Database Pointer System
NO real time data exchange Incurs data storage costs No Central Database Real time data exchange Does not incur data storage costs Use if LE user knows the Jurisdiction holding the credentials Pointer System Real time data exchange Incurs data storage costs Use if LE user does not know the Jurisdiction holding the credentials

14 Expertise Needed IT Technical (various expertise levels)
Regulatory and Legal Plan and Agreement changes Jurisdictional legislative changes Roadside enforcement Deskside administrative Deskside audit Industry (national and jurisdictional)

15 Challenges Privacy Buy in / benefits, etc. Financial Political Time and resource justification Connectivity

16 Challenges (continued)
Organizational support (financial, politically) Managing expectation Data quality Level/even playing field Getting multiple levels of industry involved

17 It’s coming, be a part of the solution!
Questions? Comments! It’s coming, be a part of the solution!


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