Could Disengagement Reports Indicate Evolution of Autonomous Vehicles?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F25%3A10002309" target="_blank" >RIV/44994575:_____/25:10002309 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2624-8921/7/2/32" target="_blank" >https://www.mdpi.com/2624-8921/7/2/32</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/vehicles7020032" target="_blank" >10.3390/vehicles7020032</a>
Alternative languages
Result language
angličtina
Original language name
Could Disengagement Reports Indicate Evolution of Autonomous Vehicles?
Original language description
The testing and pilot operations of autonomous vehicles are currently booming in terms of real-world operations. Although the validation and verification methods are not standardized, nor is the legislation, as well as the methodology of data collection on autonomous vehicles’ performance and safety. The safety of autonomous vehicles can be inferred from the collision and disengagement reports provided by manufacturers and operators. This report documents instances when a human driver or operator took control of an autonomous vehicle during testing in detail. Disengagement reports are primarily aimed at safety and performance evaluation of autonomous vehicles, but can they be the basis for determining the readiness of autonomous driving technology and technological progress? This study analyzes disengagement reports to assess their utility in determining autonomous vehicles’ progress and readiness. Our findings indicate a declining trend in reported disengagements, despite increased operational distances, suggesting possible improvements in autonomous vehicle technology. However, disparities in data collection, varying operational design domains, and inconsistent reporting practices among manufacturers limit direct comparability. These factors challenge the reliability of disengagement reports as a definitive measure of technological evolution. The study highlights the need for more standardized and transparent reporting to better assess autonomous vehicle safety and development trends.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20104 - Transport engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Vehicles
ISSN
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e-ISSN
2624-8921
Volume of the periodical
7
Issue of the periodical within the volume
2
Country of publishing house
CH - SWITZERLAND
Number of pages
21
Pages from-to
1-21
UT code for WoS article
001516065800001
EID of the result in the Scopus database
2-s2.0-105009253530