Black Swan Theory for Navigating Trust in Mixed-Traffic Environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F25%3A00141561" target="_blank" >RIV/00216224:14330/25:00141561 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-031-92474-3_6" target="_blank" >https://doi.org/10.1007/978-3-031-92474-3_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-92474-3_6" target="_blank" >10.1007/978-3-031-92474-3_6</a>
Alternative languages
Result language
angličtina
Original language name
Black Swan Theory for Navigating Trust in Mixed-Traffic Environments
Original language description
Connected and autonomous vehicles (CAVs) have revolutionized traffic systems, introducing mixed-driving environments where human-driving and driverless vehicles can coexist on the same roadways. This dynamic interaction has resulted in complex social driving behaviors, emphasizing the need for social trust management to balance interactions in mixed-driving environments effectively. This work presents our vision of a trust management framework designed for mixed driving environments. By gaining from the black swan theory, we address critical blind spots and vulnerabilities in current trust models. We offer insights into how trust relationships can be optimized in the face of uncertainty. Our approach aims to support reliable social networks and facilitate harmonious collaboration between human-driving and driverless vehicles, which promotes the safety and efficiency of mixed-traffic ecosystems.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The 19th International Conference on Research Challenges in Information Science (RCIS)
ISBN
9783031924736
ISSN
1865-1348
e-ISSN
—
Number of pages
16
Pages from-to
87-102
Publisher name
Springer
Place of publication
Seville, Spain
Event location
Seville, Spain
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001545064600006