An Ontological Model to Enhance Traffic Conditions in Smart City Domain
Nesrine Saafi, Karima Dhouib · Spectrum of Engineering and Management Sciences · 2024
The rising trend of the increasing interconnection of city services refers to the growing integration and interconnectedness of various urban systems and services through the utilization of technology and data. One of the primary objectives of smart city initiatives is to establish more efficient and sustainable urban environments by optimizing resource utilization and infrastructure. In this paper, we introduce a traffic ontology named "TrafCsOnto," which encompasses a comprehensive range of traffic concepts. The primary aim of this ontology is to address traffic congestion issues within the smart city context. The formalization of this ontology has been carried out using the OWL language and the protégé tool. We endeavor to illustrate the practical application of the traffic ontology through the manipulation of real-world instances and inferences.