A Fuzzy Clustering Approach to Identify Pedestrians' Traffic Behavior Patterns.

Journal: Journal of research in health sciences
PMID: 38315907

Abstract

BACKGROUND: Pattern recognition of pedestrians' traffic behavior can enhance the management efficiency of interested groups by targeting access to them and facilitating planning via more specific surveys. This study aimed to evaluate the pedestrians' traffic behavior pattern by fuzzy clustering algorithm and assess the factors related to higher-risk traffic behavior of pedestrians. : This study is a secondary methodological study based on the data from a cross-sectional study.

Authors

  • Parisa Saeipour
    Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Parvin Sarbakhsh
    Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Saman Salemi
    Department of Medicine, Islamic Azad University Tehran Medical Sciences, Tehran, Iran.
  • Fatemeh Bakhtari Aghdam
    Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.

Keywords

External Resources

Popular Topics
Recent Journals