VINdecoder as information tool for eCALL and for VIN data quality analyse
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F22%3A00042886" target="_blank" >RIV/29142890:_____/22:00042886 - isvavai.cz</a>
Result on the web
<a href="https://cld.bz/Tibazsu/171/" target="_blank" >https://cld.bz/Tibazsu/171/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
VINdecoder as information tool for eCALL and for VIN data quality analyse
Original language description
The paper deals with the use of VIN decoder in the pan-European application eCALL (emergency CALL), which provides information about a crashed vehicle in the territory of EU member states online to the nearest PSAP (Public Safety Answering Point) of the Integrated Rescue System. The basic ICT architecture of the solution used in the Czech Republic is described. The crashed vehicle automatically transmits the coordinates of its position, the globally unique VIN (Vehicle Identification Number), the direction of travel on the road, the vehicle category, the number of seat belts fastened in the vehicle (ie the number of people in vehicle) and the system activation flag (automatically or manually). One of the key roles is played by the so-called VIN decoder, which can decode basic information about the vehicle from the VIN structure and provide it to the nearest operational center of the Integrated Rescue System. At the same time, the VIN decoder can analyze the error rate of the VIN item in various information systems, such as the road vehicle register. The authors describe an analytical study, the aim of which was to determine the percentage error rate of VIN in critical infrastructure information systems. An inspection of various information systems revealed that the error rate reached a relatively high value of 8-10%. The authors describe a way to increase the quality of data in critical infrastructure information systems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICAI 2022 Proceedings of the 2nd International Conference on Automotive Industry 2022
ISBN
978-80-7654-045-3
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
171-179
Publisher name
ŠKODA AUTO Vysoká škola
Place of publication
Mladá Boleslav
Event location
Mladá Boleslav, ČR
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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