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Original Article

Automated Traffic Monitoring System

Open Access Peer Reviewed

Authors

  • Darshan N Y1
  • Dr. Sharath M N2

1 PG Student, Department of Computer Science and Engineering, Rajeev Institute of Technology, Hassan, Visvesvaraya Technological University, Belagavi, Karnataka, India. 2 Department of Computer Science and Engineering (AI&ML) Rajeev Institute of Technology, Hassan, Visvesvaraya Technological University, Belagavi, Karnataka, India.

Article Information

DOI
No DOI
Published Online
September-December 2025
Pages
153-159
Article Type
Original Article
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No DOI available for cross-reference

Abstract

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An automated traffic monitoring system uses sensors and advanced algorithms to continuously collect, analyze, and manage real-time traffic data. This system can be used to optimize traffic flow, reduce congestion, improve safety, and provide drivers with accurate travel information. These systems use various sensors, such as loop detectors, cameras, and radar, to gather data on traffic volume, speed, density, and other relevant parameters. The collected data is then analyzed using algorithms and software to identify patterns, predict traffic flow, and detect potential problems. Based on the analyzed data, the system can implement various traffic management strategies, such as adjusting traffic signals, providing real-time traffic updates to drivers, and implementing incident management procedures. Automated traffic monitoring systems can be integrated with other transportation systems, such as public transportation, parking management, and ride-sharing services, to create a more comprehensive and efficient transportation ecosystem. By optimizing traffic signals and providing real-time traffic information, these systems can reduce congestion and improve traffic flow Automated traffic monitoring systems can help to detect and respond to accidents, weather events, and other incidents that could pose a threat to road safety.

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