A Comprehensive Analysis of Ontologies Related to Safety Related Traffic Information for Road Traffic

[EN] Ontologies within the Semantic Web represent a transformative advancement, offering standardized data schemes that seamlessly interconnect with diverse vocabularies and facilitate efficient information exchange globally. This paper explores the intersection of ontologies and road safety, a domain critical to public well-being. The analysis focuses on existing ontologies related to Safety Related Traffic Information, delving into their implications for enhanced road safety, optimized traffic management, and streamlined safety-related data exchange. The study discerns common patterns, best practices, and areas for improvement across various ontological models, thereby contributing to the development of standardized solutions for managing road safety information. Using an ad hoc metrics system for this type of information will assist us in determining which ontology is most suitable and/or the need for its adaptation or utilization. Acknowledging the vital role of ontologies in promoting data interoperability, knowledge sharing, and informed decision-making, this research underscores the potential of integrating Semantic Web technologies and ontological models to revolutionize safety-related information management. The findings advocate for the transformative impact of ontologies in reducing road accidents and safeguarding human lives, emphasizing their significance in advancing the evolution of safer and more efficient road networks.