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TRAFFIC PREDICTION SYSTEM USING ARTIFICIAL INTELLIGENCE

  • Unique Paper ID: 171118
  • Volume: 11
  • Issue: 7
  • PageNo: 4066-4069
  • Abstract:
  • Traffic congestion is a pervasive issue in modern cities, leading to increased travel times, higher fuel consumption, and environmental degradation. With the growing urban population and the corresponding rise in vehicular traffic, efficient traffic management is becoming more challenging. This paper presents a traffic prediction system (TPS) that utilizes Artificial Intelligence (AI) and machine learning (ML) techniques to predict future traffic conditions and suggest optimized routes. The system uses historical traffic data, real-time sensor data, weather conditions, and public event data to forecast traffic volumes and congestion. The system also integrates dynamic routing recommendations to minimize delays. This paper discusses the key components of such a system, the methodologies used, challenges faced, and the impact of this system on urban traffic management.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 7
  • PageNo: 4066-4069

TRAFFIC PREDICTION SYSTEM USING ARTIFICIAL INTELLIGENCE

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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