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

Authors

222

  1. YW
    Yinhai Wang

    University of Washington, United States

    5 publications · 103 citations

    5

    h-index

  2. GZ
    Guohui Zhang

    University of Hawaiʻi at Mānoa, United States

    4 publications · 89 citations

    4

    h-index

  3. YW
    Yao‐Jan Wu

    University of Arizona, United States

    3 publications · 45 citations

    3

    h-index

  4. RL
    Robert L. Bertini

    Portland State University, United States

    2 publications · 58 citations

    2

    h-index

  5. CW
    Cathy Wu

    University of California, Berkeley, United States

    2 publications · 58 citations

    2

    h-index

1–5 of 222

Venues

  1. 11

    h-index

  2. 4

    h-index

  3. 3

    h-index

  4. Sensors

    3 publications · 51 citations

    3

    h-index

  5. IATSS Research

    2 publications · 66 citations

    2

    h-index

1–5