Identifying High-Risk Situations in Right-Turn Phase of Heavy-Duty Vehicles Using Naturalistic Driving Data

2025-01-7209

02/21/2025

Features
Event
2024 International Conference on Smart Transportation Interdisciplinary Studies
Authors Abstract
Content
The interaction between heavy-duty vehicles turning right and non-motor vehicles going straight has led to severe traffic crashes. It is essential to evaluate the driving risk of heavy-duty vehicles in the right-turn phase. Increasingly, studies have explored some indicators associated with driving risk. Based on naturalistic driving data of 121 heavy-duty vehicles in Nanjing, this research combined factor analysis and K-means cluster algorithm to assess the driving risk of two scenarios, one without a blind spot warning and another with a blind spot warning during the right-turn phase. The results have concluded the driving characteristics of heavy-duty vehicles under different risk levels. It formed a set of driving risk level assessment methods for heavy-duty vehicles in the right-turn phase. This evaluation method is expected to identify high-risk right-turn behaviors of heavy-duty vehicles and provide some insights to practitioners for traffic management.
Meta TagsDetails
DOI
https://doi.org/10.4271/2025-01-7209
Pages
9
Citation
Zhang, H., Fu, Y., Ma, Y., and Chen, S., "Identifying High-Risk Situations in Right-Turn Phase of Heavy-Duty Vehicles Using Naturalistic Driving Data," SAE Technical Paper 2025-01-7209, 2025, https://doi.org/10.4271/2025-01-7209.
Additional Details
Publisher
Published
Feb 21
Product Code
2025-01-7209
Content Type
Technical Paper
Language
English