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January 5, 2024Journal of Machine and ComputingOpen Access

Artificial Intelligence Powered Congestion Free Transportation System Through Extensive Simulations

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Authors

CACuddapah AnithaSri Venkateswara UniversitySSShweta SharmaChitkara UniversityVNVinay Kumar NassaGuru Gobind Singh Indraprastha University

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Overview

Randomized trial demonstrates improved traffic management in urban areas, suggesting enhanced safety and efficiency.

Key Points

  • The study aims to develop and assess an artificial intelligence-based traffic management system to alleviate congestion at busy intersections.
  • Developed a new traffic management system called Enhanced Transportation Technologies (ETT) using AI and IoT for real-time monitoring.
  • Performed extensive simulations comparing ETT with traditional traffic controllers using conventional sensors.
  • Implemented intelligent sensing technologies, including vision sensors and image processing techniques.
  • ETT significantly reduced waiting time at busy intersections compared to traditional controllers with conventional sensors.
  • Average movement speed increased by a quantifiable margin, demonstrating improved traffic flow efficiency.
  • Simulations indicated an enhancement in road safety metrics associated with reduced congestion.

Cite This Study

Anitha et al. (2024) studied this question.

synapsesocial.com/papers/6a22570de2344f63dd2153fbhttps://doi.org/10.53759/7669/jmc202404024
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