Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones.

Journal: Journal of safety research
PMID: 31848006

Abstract

INTRODUCTION: In this paper, we present machine learning techniques to analyze pedestrian and bicycle crash by developing macro-level crash prediction models.

Authors

  • Md Sharikur Rahman
    Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA. Electronic address: sharikur@knights.ucf.edu.
  • Mohamed Abdel-Aty
    Department of Civil, Environmental, and Construction Engineering, University of Central Florida, USA.
  • Samiul Hasan
    Centre for Therapeutic Target Validation, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD UK ; GSK, Medicine Research Centre, Stevenage, SG1 2NY UK.
  • Qing Cai

Keywords

External Resources

Popular Topics
Recent Journals