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September 26, 2024Traffic Injury Prevention

Evaluating the effectiveness of safety countermeasures at highway–railway grade crossing based on a machine learning framework

Mohammadali Zayandehroodi Barat Mojaradi Morteza Bagheri

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Abstract

This research aims to cluster similar highway-railway grade crossings (HRGCs) to examine the safety countermeasures at HRGCs.

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Cite This Study

Zayandehroodi et al. (2024) studied this question.

synapsesocial.com/papers/68e5743bb6db6435875147a8 https://doi.org/10.1080/15389588.2024.2387713

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1An Explainable Spatial Analytics and Machine Learning Framework for Highway–Rail Grade Crossing Safety AssessmentOriginal Research · 2026
2Modeling Highway-Rail Grade Crossing (HRGC) Crash Frequency2024 · 1 citations
3Modeling highway-rail grade crossing (HRGC) crash severity using statistical and machine learning methods2025 · 6 citations
4Network Level Evaluation of Hang-up Susceptibility of HRGCs using Deep Learning and Sensing TechniquesOriginal Research · 2026
5Intelligent Railroad Grade Crossing: Leveraging Semantic Segmentation and Object Detection for Enhanced Safety2024 · 2 citations

More related papers

AI-Based Hazard Detection for Railway Crossings2024
Quantifying System-Level Risk at Highway–Rail Grade Crossings: Integrating Spatial Autocorrelation and Explainable Machine Learning2026
AI-Enabled Vibration Sensing System for Early Detection of Trains at Active Highway-Rail Grade Crossings2024

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