Framework for rail level crossings digital twin development

Key Points

• The proposed framework significantly improves safety metrics at rail level crossings, emphasizing the adoption of digital twin technology.
• Key evidence shows that integrating data from various sources can reduce risks associated with rail level crossings.
• The framework leverages machine learning algorithms to create accurate simulations of rail level crossing scenarios.
• Implication of this framework highlights the need for further real-world testing to validate its effectiveness.