Crashes involving distracted pedestrians: Identifying risk factors and their relationships to pedestrian severity levels and distraction modes-Reference-Cited by-同舟云学术

Crashes involving distracted pedestrians: Identifying risk factors and their relationships to pedestrian severity levels and distraction modes

Published:2024-01 Issue: Volume:194 Page:107359
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Hossain Md Mahmud,Zhou Huaguo,Sun Xiaoduan,Hossain Ahmed^ORCID,Das Subasish

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference74 articles.

1. AAOS, 2015. Distracted Walking Study. American Academy of Orthopaedic Surgeons (AAOS). https://orthoinfo.aaos.org/en/staying-healthy/distracted-walking/.

2. Agrawal, R., Imieliński, T., Swami, A., 1993. Mining association rules between sets of items in large databases 207–216. doi:10.1145/170035.170072.

3. Fast algorithms for mining association rules;Agrawal;Proc. Conf. Very Large Data Bases,1994

4. Studying critical pedestrian behavioral changes for the safety assessment at signalized crosswalks;Alhajyaseen;Saf. Sci.,2017

5. Extracting rules from autonomous-vehicle-involved crashes by applying decision tree and association rule methods;Ashraf;Transp. Res. Rec. J. Transp. Res. Board,2021

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