Traffic Sensor Data Analysis
Traffic Sensor Data Analysis is a systematic method within traffic engineering that involves the processing, interpretation, and modeling of raw data collected from traffic sensors to extract meaningful traffic patterns, performance measures, and behavioral insights for transportation system monitoring and management.
69
Publications
2K
Citations
222
Authors
91
Institutions
Publications per year
2017–2026
22
Parents
69
SEER: Metropolitan-Scale Traffic Perception Based on Lossy Sensory Data
Hongzi Zhu, Yanmin Zhu, M. Li et al. · 2009 · 94 citations
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91
University of Washington
Seattle, United States
5 h-index
13 publications
263 citations

Portland State University
Portland, United States
4 h-index
9 publications
230 citations
University of Arizona
Tucson, United States
3 h-index
8 publications
115 citations

University of Modena and Reggio Emilia
Modena, Italy
2 h-index
6 publications
114 citations
University of Southern California
Los Angeles, United States
2 h-index
4 publications
65 citations
Ferrari (Italy)
Maranello, Italy
2 h-index
6 publications
114 citations
University of California, Irvine
Irvine, United States
2 h-index
4 publications
221 citations
Altınbaş University
Istanbul, Türkiye
2 h-index
2 publications
83 citations
1–8 of 91
TRR · 12 publications · 263 citations
11
h-index
4 publications · 286 citations
4
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3 publications · 214 citations
3
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3 publications · 51 citations
3
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2 publications · 66 citations
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1–5