An ONTOLOGY BASED APPROACH FOR TRAFFIC DENSITY ESTIMATION IN INTELLIGENT TRANSPORTATION SYSTEMS

Abstract

Intelligent transportation systems are a group of smart technologies which are intended to make road journey more efficient. The ability of vehicles to share data with all aspects of the road infrastructure via diverse applications is critical to the success of these systems. In this paper, an ontology has been integrated for every vehicle to give them the ability to perceive for themselves. A framework of intelligent transportation system which enables complexity is required for the success of this traffic information exchange and representation of knowledge using the protégé. Proposed and implemented methodology for traffic density estimation is being used to create an ontology in the ITS domain.