Ontology Development for Sustainable Intelligent Transportation Systems

Urban areas globally face escalating challenges in traffic congestion, air pollution, and inefficient transportation systems. Traditional traffic management strategies are increasingly inadequate for handling the growing complexity of urban mobility. To address these issues, this paper presents the development of an ontology for Intelligent Transportation Systems (ITS) aimed at enhancing traffic management and safety through sustainable practices. The research problem focuses on the lack of comprehensive and standardized ontologies that integrate diverse data sources, support real-time decision-making, and incorporate sustainability considerations. Utilizing SUMO Eclipse for simulations and tools like Protégé and OwlReady2 for ontology development, the project integrates environmental considerations and vehicular communication protocols. The ontology’s structure encompasses five main concepts: Environment, Communication, System, WeatherState, and ValuePartition.