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Enhanced Vehicle Identification in Motor Vehicle Accident Databases
Technical Paper
2004-01-1186
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Motor vehicle accident databases provide valuable safety information about the real world crash experience for millions of motor vehicles. The associated research often requires specific information about vehicle characteristics derived from the Vehicle Identification Number (VIN). The complicated process of large-scale VIN decoding is made easier with software that identifies specific make, model and other characteristics. Data entry errors and truncated VINs (i.e., less than 17 characters), however, pose challenges to reliable vehicle identification. A study of VIN coding requirements and data entry patterns indicates that reliable accident vehicle identification can be accomplished by supplementing VIN decoding software to systematically minimize common transcription errors and invalid characters. This process can yield reliable vehicle identification and maximize utilization of vehicle records for motor vehicle crash analysis. This paper discusses the processes involved in VIN decoding for millions of accident-involved vehicles and demonstrates, using VINDICATOR software, the application of supplemental VIN processing.
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Citation
Vogler, M., Moroski-Browne, B., Angelos, T., and Firestone, R., "Enhanced Vehicle Identification in Motor Vehicle Accident Databases," SAE Technical Paper 2004-01-1186, 2004, https://doi.org/10.4271/2004-01-1186.Also In
SAE 2004 Transactions Journal of Passenger Cars: Mechanical Systems
Number: V113-6; Published: 2005-07-05
Number: V113-6; Published: 2005-07-05
References
- National Highway Traffic Safety Administration Traffic Safety Facts 2000 (Overview) December 2001
- National Highway Traffic Safety Administration National Automotive Sampling System/General Estimates System (NASS/GES) 2000 Database
- National Highway Traffic Safety Administration Federal Highway Administration, Model Minimum Uniform Crash Criteria (MMUCC) Guideline 2nd 2003
- “Vehicle Identification Number Requirements” Code of Federal Regulations Federal Register 61 June 7 1996 29033
- National Highway Traffic Safety Administration Motor Vehicle VINs http://www.nhtsa.gov/cars/rules/theft/vinnumber.html August 29 2003
- International Standards Organization Vehicle identification number (VIN) - Content and structure February 1997 1983
- “Vehicle Identification Number Requirements” Code of Federal Regulations Federal Register 61 June 7 1996 29033
- National Highway Traffic Safety Administration State Crash Report Forms Catalog 1999
- National Highway Traffic Safety Administration National Center for Statistics and Analysis State Data System Crash Data Report: 1990 - 1999 July 2002
- Wang, P.S.P. Character & Handwriting Recognition: Expanding Frontiers World Scientific Series in Computer Science 30 World Scientific Publishing 1991
- Office of Management and Budget Statistical Policy Office Office of Information and Regulatory Affairs Statistical Policy Working Paper 31: Measuring and Reporting Sources of Error in Surveys Subcommittee on Measuring and Reporting the Quality of Survey Data, Federal Committee on Statistical Methodology July 2001
- Federal Driver's Privacy Protection Act of 1994 January 2000 “Shelby Amendment”
- Black Book Official Vehicle Identification Guide Cars and Trucks - Domestic and Import 2002-1981 Hearst Holdings, Inc. 2002
- ADP Hollander Hollander Interchange Manuals 66th 2000
- Society of Automotive Engineers, Inc. 2002 SAE Handbook 2 Parts and Components and On-Highway Vehicles (Part I), Section 27: Vehicle Identification Numbers SAE J272 Vehicle Identification Number Systems December 1981 Society of Automotive Engineers Warrendale, PA 2002
- Bunke, H. Wang, P.S.P. Handbook of Character Recognition and Document Image Analysis World Scientific Publishing Company New Jersey 1997 2000
- Caskey, D.L. Coates, C.L. Machine Recognition of Handprinted Characters Electronics Research Center, The University of Texas at Austin May 1 1972 U.S. National Bureau of Standards, Computer Literature Collection (CBI 32) Charles Babbage Institute, University of Minnesota, MN
- Greanias, E.C. Meagher, P.F. Norman, R.J. Essinger, P. The Recognition of Handwritten Numerals by Contour Analysis Defense Documentation Center for Scientific and Technical Information U.S. National Bureau of Standards, Computer Literature Collection (CBI 32) Charles Babbage Institute, University of Minnesota, MN
- National Highway Traffic Safety Administration Technical Assessment Paper: Relationship Between Rollover and Vehicle Factors July 1991
- Highway Loss Data Institute (HLDI) VINDICATOR User's Manual VINDICATOR 2003 January 2003
- R. L. Polk & Co. PC VINA for Windows User's Manual Polk R.L. 1997-2001 September 10 2001
- Iowa Department of Transportation National Model Project: Statewide Application of Data Collection and Management Technology to Improve Highway Safety April 2002 August 29 2003
- Society of Automotive Engineers, Inc. 2002 SAE Handbook 3 On-Highway Vehicles (Part II) and Off-Highway Machinery, Section 42:, Maintenance and Repair SAE J1877 Recommended Practice for Bar-Coded Vehicle Identification Number Label July 1994 Society of Automotive Engineers Warrendale, PA 2002