Analysis of VIN Errors in Information Systems, Causes, Consequences and Solutions
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F04274644%3A_____%2F21%3A%230000759" target="_blank" >RIV/04274644:_____/21:#0000759 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1007/978-981-15-9121-1_21" target="_blank" >https://doi.org/10.1007/978-981-15-9121-1_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-15-9121-1_21" target="_blank" >10.1007/978-981-15-9121-1_21</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Analysis of VIN Errors in Information Systems, Causes, Consequences and Solutions
Popis výsledku v původním jazyce
Every vehicle manufactured after year 1986 is obligatorily marked with a VIN (Vehicle Identification Number), which is unique worldwide. This is the so-called individual vehicle identification, which is normally used as the primary information key in various computer registers, vehicle information systems—in the national vehicle register, in the police information systems (national and transnational databases of stolen vehicles, etc.), insurance companies, leasing companies, in eCALL technology (emergency call technology—implemented 2 years ago across all European countries for all new vehicles produced or imported to EU), etc. Any error in the VIN identifier means that the vehicle is then not found in the relevant informa-tion system and “looks” that everything is OK. But the reality is different. In national and international vehicle registers, the error rate ranges from 5 to 20%. Most errors in VIN arise in manual processes of rewriting, manual copying VIN from documents into information systems. These information systems are either in the competence of state, government or commercial entities. Especially sensitive to errors in VIN are all processes of forensic identification of vehicles, processes related to rescue service activities in the event of a vehicle accident, in the investigation of fraud and theft of vehicles by police and insurance units, The paper is based on five-year research and analysis of information systems during years 2014–2019. The paper deals with the anatomy of VIN errors in various processes and offers possibilities of their elimination and significant improvement of information systems containing VIN identifier. The errors in the VIN are categorized into several categories. For each category are listed its specificities.
Název v anglickém jazyce
Analysis of VIN Errors in Information Systems, Causes, Consequences and Solutions
Popis výsledku anglicky
Every vehicle manufactured after year 1986 is obligatorily marked with a VIN (Vehicle Identification Number), which is unique worldwide. This is the so-called individual vehicle identification, which is normally used as the primary information key in various computer registers, vehicle information systems—in the national vehicle register, in the police information systems (national and transnational databases of stolen vehicles, etc.), insurance companies, leasing companies, in eCALL technology (emergency call technology—implemented 2 years ago across all European countries for all new vehicles produced or imported to EU), etc. Any error in the VIN identifier means that the vehicle is then not found in the relevant informa-tion system and “looks” that everything is OK. But the reality is different. In national and international vehicle registers, the error rate ranges from 5 to 20%. Most errors in VIN arise in manual processes of rewriting, manual copying VIN from documents into information systems. These information systems are either in the competence of state, government or commercial entities. Especially sensitive to errors in VIN are all processes of forensic identification of vehicles, processes related to rescue service activities in the event of a vehicle accident, in the investigation of fraud and theft of vehicles by police and insurance units, The paper is based on five-year research and analysis of information systems during years 2014–2019. The paper deals with the anatomy of VIN errors in various processes and offers possibilities of their elimination and significant improvement of information systems containing VIN identifier. The errors in the VIN are categorized into several categories. For each category are listed its specificities.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20101 - Civil engineering
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of 1st International Conference on Structural Damage Modelling and Assessment
ISBN
9789811591204
ISSN
2366-2557
e-ISSN
2366-2565
Počet stran výsledku
10
Strana od-do
271-280
Název nakladatele
Springer
Místo vydání
Ghent
Místo konání akce
Ghent, Belgium
Datum konání akce
1. 1. 2020
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
—