Warning System Evaluation
Warning System Evaluation is a systematic methodological framework used to assess the effectiveness, reliability, and usability of warning systems by measuring their ability to convey timely, accurate, and actionable alerts under defined operational conditions.
146
Publications
5.7K
Citations
518
Authors
236
Institutions
Publications per year
2017–2026
37
Variants
Warning System Assessment
146
Real‐time detection of distracted driving based on deep learning
Duy Tran, Ha Manh, Weihua Sheng et al. · IET Intelligent Transport Systems · 2018 · 150 citations · Full text
1–5 of 146
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Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland
3 publications · 131 citations
3
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3
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1–5 of 518
236
United States Geological Survey
Reston, United States
4 h-index
16 publications
330 citations
University of Michigan
Ann Arbor, United States
3 h-index
7 publications
295 citations
Rensselaer Polytechnic Institute
Troy, United States
2 h-index
3 publications
44 citations
Michigan Department of Transportation
Lansing, United States
2 h-index
7 publications
310 citations

University of Birmingham
Birmingham, United Kingdom
2 h-index
9 publications
243 citations
University of Technology Sydney
Sydney, Australia
2 h-index
3 publications
47 citations

Rice University
Houston, United States
2 h-index
6 publications
171 citations

University of Georgia
Athens, United States
2 h-index
2 publications
29 citations
1–8 of 236
Repository · 4 publications · 72 citations
4
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4 publications · 165 citations
4
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TRR · 4 publications · 56 citations
4
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HFES · 4 publications · 341 citations
4
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4 publications · 120 citations
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