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


Article Information

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

Authors: Hira

Journal: Lahore Garrison University Research Journal of Computer Science and Information Technology (LGURJCSIT)

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
Y 2020-07-01 2021-06-30

Publisher: Lahore Garrison University, Lahore

Country: Pakistan

Year: 2023

Volume: 7

Issue: 3

Language: English

DOI: 10.54692/lgurjcsit.2023.073461

Keywords: ProtégéTraffic flowOntologyIntelligent Transportation System

Categories

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.


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