Published January 1, 2023 | Version v1
Conference paper Open

Detection of Disturbances in a Monitoring System on ITS and Usage of Ontologies Approaches: A Critical Review and Challenges in Developing Countries

  • 1. Univ Douala, Dept Appl Math & Comp Sci, Douala, Cameroon
  • 2. Univ Maroua, LaRI Lab, Maroua, Cameroon
  • 3. Univ Luxembourg, AI Robolab, ICR, L-4365 Esch Sur Alzette, Luxembourg
  • 4. Univ Luxembourg, Luxembourg Univ Sci & Technol LIST 5, L-4365 Esch Sur Alzette, Luxembourg

Description

The demographic explosion that the world is experiencing today is impacting the demand on road networks. The monitoring of activities on these road networks has evolved thanks to the paradigms provided by intelligent transport system. In developing countries, the lack of sophisticated infrastructures lead to accidents and loss of life. Thus, some work proposes solutions that aim to deploy control points in a way that maximises network coverage while minimising financial expenditures. Despite this, there are still problems of detecting disturbances in this context. The aim of this paper is to do a literature review on the management of disturbances on intelligent transport systems and their use in the context of developing countries. We also review the use of ontologies in disturbance detections. This shows that the perception of disturbances changes from one model to another. No model proposes an approach that guarantees a good detection of disturbances in the context of monitoring road networks in developing countries context. Therefore, taking ontologies into account for this detection could guarantee good results. (c) 2023 The Authors. Published by Elsevier B.V.

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