GPU-based video-processing traffic signals for high-density vehicle areas
by Suvarna Kadam; Sheetal Bhandari; Prakash Sontakke; Sonali Sawant
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 13, No. 1, 2024

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.

Online publication date: Mon, 15-Jul-2024

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