Prediction and exploration of contributory factors related to fatigue driving among long-haul truck drivers traveling across India: A tree-based machine learning approach-Reference-Cited by-同舟云学术

Prediction and exploration of contributory factors related to fatigue driving among long-haul truck drivers traveling across India: A tree-based machine learning approach

Published:2023-09 Issue: Volume:32 Page:101671
ISSN:2214-1405
Container-title:Journal of Transport & Health
language:en
Short-container-title:Journal of Transport & Health

Author:

Rashmi Balamurugan Shandhana^ORCID,Marisamynathan Sankaran

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Health Policy,Safety Research,Pollution,Transportation,Safety, Risk, Reliability and Quality

Reference77 articles.

1. Application of Extremely Randomised Trees for exploring influential factors on variant crash severity data;Afshar;Sci. Rep.,2022

2. Obesity is associated with the future risk of heavy truck crashes among newly recruited commercial drivers;Anderson;Accid. Anal. Prev.,2012

3. Perceived safe and adequate truck parking : a random parameters binary logit analysis of truck driver opinions in the Pacific Northwest;Anderson;Int. J. Transport.Sci. Technol.,2018

4. Utilizing black-box visualization tools to interpret non-parametric real-time risk assessment models;Bakhshi;Transportmetrica: Transport. Sci.,2021

5. Schedule tightness among tractor-trailer drivers;Beilock;Traffic Inj. Prev.,2003

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Relationship between physical fatigue and mental fatigue based on multimodal measurement under different load levels;Ergonomics;2024-06-24

2. Scented Solutions: Examining the Efficacy of Scent Interventions in Mitigating Driving Fatigue;Sensors;2024-04-09