Title: GPU-based video-processing traffic signals for high-density vehicle areas

Authors: Suvarna Kadam; Sheetal Bhandari; Prakash Sontakke; Sonali Sawant

Addresses: Department of Electronics and Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Pune, 411044, India ' Department of Electronics and Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Pune, 411044, India ' Department of Electronics and Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Pune, 411044, India ' Department of Electronics and Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Pune, 411044, India

Abstract: This work focuses on developing a traffic management system that utilises video camera inputs and real-time analysis to improve signal control and enhance traffic conditions. The system captures live video feeds from cameras installed at traffic junctions and employs graphics processing unit-based image processing techniques to calculate the real-time vehicle density on each side of the road. An algorithm dynamically adjusts the timing of traffic lights based on the congestion levels of different roads to optimise traffic flow, reduce congestion, and enhance road safety. Real-time decision-making capabilities for traffic control improve transportation efficiency, reduce fuel consumption, and minimise waiting time. The system provides valuable data for future road planning and research. The system further improves traffic flow and minimises traffic jams by synchronising multiple traffic lights using video and image processing technologies in traffic management systems to enhance overall traffic conditions and promote safer and more efficient transportation.

Keywords: congestion levels; fuel consumption; GPU; graphics processing unit; image processing technologies; intelligent traffic system; real-time analysis; traffic jams; traffic lights; traffic management system; video processing.

DOI: 10.1504/IJSISE.2024.139977

International Journal of Signal and Imaging Systems Engineering, 2024 Vol.13 No.1, pp.1 - 9

Received: 20 Apr 2023
Accepted: 09 Oct 2023
Published online: 15 Jul 2024 *

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