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Author

I. Rillie

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Review Sep 2026

Development of a theoretical model for calibrating trust in AI to augment highways safety

Artificial intelligence (AI) has the potential to augment safety within the construction and highway sectors through data-driven decision-making. However, trust in AI impacts the end-users’ reliance on the technology, which directly influences safety outcomes. This research explores the relationship between the tec...

Pooja Ivvala, Aya Bayramova, C. Roberts et al. · 0 citations
Aug 2026

At the edge of risk: defining thresholds and triggers for safety in highway operations

Understanding how complex human, environmental, demographic and operational factors interact to elevate the probability of safety infractions is essential for developing predictive safety systems in high-risk environments such as highways. This study proposes a data-driven framework for identifying empirical inflec...

L. Bortey, David J. Edwards, I. Rillie · 0 citations

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