Research on traffic accident prediction of expressway tunnel based on B-NB model-Reference-Cited by-同舟云学术

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Research on traffic accident prediction of expressway tunnel based on B-NB model

Published:2024-02-12 Issue:3 Volume:25 Page:527-536
ISSN:1538-9588
Container-title:Traffic Injury Prevention
language:en
Short-container-title:Traffic Injury Prevention

Author:

Yang Yonghong¹²^ORCID,Zhang Yu¹³^ORCID,Zheng Tao¹³,Tian Qingyan³⁴

Affiliation:

1. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China

2. Key Laboratory of Highway Engineering of Ministry of Education, Changsha University of Science & Technology, Changsha, China

3. Guangdong Provincial Key Laboratory of Tunnel Safety and Emergency Support Technology & Equipment, Guangzhou, China

4. Guangdong Hualu Transport Technology Co., Ltd, Guangzhou, China

Funder

Key Area Research and Development Program of Guangdong Province

Guangdong Basic and Applied Basic Research Foundation

Open Fund of the Key Laboratory of Highway Engineering of Ministry of Education

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15389588.2024.2310584

Reference47 articles.

1. A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data

2. Sight distance and horizontal curve aspects in the design of road tunnels vs. highways

3. A crash-prediction model for road tunnels

4. Comparison and analysis of road tunnel traffic accident frequencies and rates using random-parameter models

5. Analysis of crash frequency in motorway tunnels based on a correlated random-parameters approach

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1. A Comprehensive Analysis of Road Crashes at Characteristic Infrastructural Locations: Integrating Data, Expert Assessments, and Artificial Intelligence;Infrastructures;2024-08-13

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