D 2022

VINdecoder as information tool for eCALL and for VIN data quality analyse

RAK, Roman, Ingrid MATOUŠKOVÁ and Dagmar KOPENCOVÁ

Basic information

Original name

VINdecoder as information tool for eCALL and for VIN data quality analyse

Authors

RAK, Roman, Ingrid MATOUŠKOVÁ and Dagmar KOPENCOVÁ

Edition

1. vyd. Mladá Boleslav, ICAI 2022 Proceedings of the 2nd International Conference on Automotive Industry 2022, p. 171-179, 9 pp. 2022

Publisher

ŠKODA AUTO Vysoká škola

Other information

Language

English

Type of outcome

Proceedings paper

Field of Study

50200 5.2 Economics and Business

Country of publisher

Czech Republic

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

References:

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Organization

Škoda Auto Vysoká Škola o.p.s. – Repository

ISBN

978-80-7654-045-3

Keywords in English

automotive sector; raft regulation on the deployment of alternative fuels infrastructure; Fit-for-55; clean vehicles directive 2019/1161; directive 2014/94/ EU

Tags

International impact, Reviewed
Changed: 21/9/2024 22:11, Barbora Dobrá

Abstract

V originále

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.
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