Safety evaluation of horizontal curves on two lane rural highways using machine learning algorithms: A priority-based study for sight distance improvements
Summary. This study develops safety thresholds for horizontal curves on rural two-lane highways using machine learning to predict crash risk based on sight distance and operating speed. Researchers collected speed and geometric data from 18 curves and found that higher operating speeds increase design inconsistency, while sharper deflection angles decrease it. The approach uses reliability indices as a surrogate safety measure instead of relying on unreliable crash data from police and insurance sources.
Cite this article
Godumula, D. T., & Ravishankar, K. V. R.. (2023). Safety evaluation of horizontal curves on two lane rural highways using machine learning algorithms: A priority-based study for sight distance improvements. Traffic Injury Prevention. https://doi.org/10.1080/15389588.2023.2184203
Godumula, Dharma Teja, and K. V. R. Ravishankar. “Safety evaluation of horizontal curves on two lane rural highways using machine learning algorithms: A priority-based study for sight distance improvements.” Traffic Injury Prevention, 2023. https://doi.org/10.1080/15389588.2023.2184203.
Godumula, Dharma Teja, and K. V. R. Ravishankar. 2023. “Safety evaluation of horizontal curves on two lane rural highways using machine learning algorithms: A priority-based study for sight distance improvements.” Traffic Injury Prevention. https://doi.org/10.1080/15389588.2023.2184203.
@article{godumula-2023-safety-evaluation-horizontal-curves-two,
title = {Safety evaluation of horizontal curves on two lane rural highways using machine learning algorithms: A priority-based study for sight distance improvements},
author = {Dharma Teja Godumula and K. V. R. Ravishankar},
journal = {Traffic Injury Prevention},
year = {2023},
doi = {10.1080/15389588.2023.2184203},
url = {https://doi.org/10.1080/15389588.2023.2184203}
}
TY - JOUR TI - Safety evaluation of horizontal curves on two lane rural highways using machine learning algorithms: A priority-based study for sight distance improvements AU - Dharma Teja Godumula AU - K. V. R. Ravishankar JO - Traffic Injury Prevention PY - 2023 DO - 10.1080/15389588.2023.2184203 UR - https://doi.org/10.1080/15389588.2023.2184203 ER -
Details
- DOI
- 10.1080/15389588.2023.2184203
- Countries
- India
- Regions
- Asia
- Categories
- transportation, rural-data-and-definitions
- Added
- 2026-04-28