Black Swan Theory for Navigating Trust in Mixed-Traffic Environments

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Black Swan Theory for Navigating Trust in Mixed-Traffic Environments

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Black Swan Theory for Navigating Trust in Mixed-Traffic Environments

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The 19th International Conference on Research Challenges in Information Science (RCIS)

ISBN

9783031924736

ISSN

1865-1348

e-ISSN

—

Počet stran výsledku

16

Strana od-do

87-102

Název nakladatele

Springer

Místo vydání

Seville, Spain

Místo konání akce

Seville, Spain

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001545064600006