STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Open Source Developments

Detecting Vehicular Congestion Using Fog Computing

  1. Geeta Amol Patil
  2. Surekha K.B.
  3. Mohan B.A.
  4. Anil Kumar
  5. Niharika D.

Abstract

Traffic congestion has become a major challenge for modern transportation systems, leading to increased travel time, fuel consumption and air pollution. To address this issue, Internet of Vehicles (IoV) has emerged as a promising technology for detecting traffic congestion in real-time. This study discusses a research investigation that explores the utilization of Fog Computing principles to detect traffic congestion. The proposed system utilizes sensors to capture traffic data and send it to the Fog nodes for processing. The data is analysed using machine learning algorithms to identify congestion patterns and provide real-time alerts to drivers and traffic management centres.

Keywords

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