A bi-level framework for real-time crash risk forecasting using artificial intelligence-based video analytics
Crossref DOI link: https://doi.org/10.1038/s41598-024-54391-4
Published Online: 2024-02-19
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hussain, Fizza
Ali, Yasir
Li, Yuefeng
Haque, Md Mazharul https://orcid.org/0000-0003-1016-110X
Funding for this research was provided by:
QUT Postgraduate Research Scholarship
Text and Data Mining valid from 2024-02-19
Version of Record valid from 2024-02-19
Article History
Received: 5 December 2023
Accepted: 12 February 2024
First Online: 19 February 2024
Competing interests
: The authors declare no competing interests.