Concepedia

Pedestrian Count Modeling

Pedestrian Count Modeling is a quantitative methodological framework within pedestrian demand analysis that estimates the volume of pedestrian traffic at specific locations and times by statistically or algorithmically relating observed counts to influential environmental, temporal, and spatial variables.

96

Publications

4.8K

Citations

289

Authors

109

Institutions

Publications per year

2017–2026

36

Variants

Pedestrian Volume Modeling

Parents

Publications

96

A survey of recent advances in CNN-based single image crowd counting and density estimation

Vishwanath A. Sindagi, Vishal M. Patel · Pattern Recognition Letters · 2017 · 626 citations · Full text

, , +10

Occupancy Estimation Using Only WiFi Power Measurements

Saandeep Depatla, Arjun Muralidharan, Yasamin Mostofi · IEEE Journal on Selected Areas in Communications · 2015 · 273 citations

, , +17

‘Big data’ for pedestrian volume: Exploring the use of Google Street View images for pedestrian counts

Li Yin, Qimin Cheng, Zhenxin Wang et al. · Applied Geography · 2015 · 232 citations

, , +10

A Poisson-lognormal conditional-autoregressive model for multivariate spatial analysis of pedestrian crash counts across neighborhoods

Yiyi Wang, Kara M. Kockelman · Accident Analysis & Prevention · 2013 · 223 citations

, , +16

Recent survey on crowd density estimation and counting for visual surveillance

Sami Abdulla Mohsen Saleh, Shahrel Azmin Suandi, Haidi Ibrahim · Engineering Applications of Artificial Intelligence · 2015 · 216 citations

, , +16

1–5 of 96

Authors

289

  1. SH
    Steve Hankey

    Virginia Tech, United States

    3 publications · 130 citations

    3

    h-index

  2. DR
    David R. Ragland

    University of California, Berkeley, United States

    3 publications · 167 citations

    3

    h-index

  3. LM
    Luis Miranda-Moreno

    McGill University, Canada

    3 publications · 138 citations

    3

    h-index

  4. RJ
    Robert J. Schneider

    University of Wisconsin–Milwaukee, United States

    3 publications · 121 citations

    3

    h-index

  5. SS
    Srinivas S. Pulugurtha

    University of North Carolina at Charlotte, United States

    2 publications · 86 citations

    2

    h-index

1–5 of 289

Institutions

109

  1. Institute of Automation

    Beijing, China

    3 h-index

    9 publications

    204 citations

  2. McGill University

    Montreal, Canada

    3 h-index

    7 publications

    316 citations

  3. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    9 publications

    204 citations

  4. City University of Hong Kong

    Hong Kong, Hong Kong

    3 h-index

    6 publications

    326 citations

  5. Universiti Sains Malaysia

    George Town, Malaysia

    2 h-index

    7 publications

    772 citations

  6. Virginia Tech

    Blacksburg, United States

    2 h-index

    4 publications

    250 citations

  7. Hongik University

    Seoul, South Korea

    2 h-index

    2 publications

    61 citations

  8. University at Buffalo, State University of New York

    Buffalo, United States

    2 h-index

    2 publications

    422 citations

1–8 of 109

Venues

  1. 11

    h-index

  2. 3

    h-index

  3. Multimedia Tools and Applications

    2 publications · 61 citations

    2

    h-index

  4. Journal of Transportation Engineering

    2 publications · 57 citations

    2

    h-index

  5. 2

    h-index

1–5