Machine learning-based incident duration prediction integrated with microscopic traffic simulation for expressway resilience evaluation.
- DOI
- 10.1177/00368504261471045
- Published
- 2026 Jul-Sep
- Container
- Science progress
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1177/00368504261471045,
title = {Machine learning-based incident duration prediction integrated with microscopic traffic simulation for expressway resilience evaluation.},
author = {Nakkliang R and Boongrapue N and Meesit R},
year = {2026},
journal = {Science progress},
doi = {10.1177/00368504261471045},
url = {https://doi.org/10.1177/00368504261471045}
}RIS
TY - JOUR TI - Machine learning-based incident duration prediction integrated with microscopic traffic simulation for expressway resilience evaluation. AU - Nakkliang R AU - Boongrapue N AU - Meesit R PY - 2026 JO - Science progress DO - 10.1177/00368504261471045 UR - https://doi.org/10.1177/00368504261471045 ER -
APA
R, N., N, B., & R, M. (2026). Machine learning-based incident duration prediction integrated with microscopic traffic simulation for expressway resilience evaluation.. Science progress. https://doi.org/10.1177/00368504261471045
Source records
- pubmed · retrieved 2026-09-25T18:21:14.493Z