Smart Traffic Control System Using AI

Author(s)	Lavanya E, Paul Shruti Kanailal, G. Anbu Selvi, N. Senthamilarasi
Country	india
Abstract	AI-powered transportation systems revolutionize urban mobility by dynamically adjusting traffic flow, reducing fuel consumption, emissions, and accidents. Real-time data processing identifies risks, prioritizes emergency vehicles, and optimizes commute times and energy use. Machine learning algorithms preemptively address bottlenecks, refine traffic dynamics, and enhance economic productivity. These systems facilitate seamless vehicle-infrastructure communication, offering personalized route recommendations and optimized traffic signal timings. Ultimately, they create a smart, interconnected urban ecosystem prioritizing efficiency, safety, and sustainability, transforming transportation management.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 2, March-April 2024
Published On	2024-03-15
Cite This	Smart Traffic Control System Using AI - Lavanya E, Paul Shruti Kanailal, G. Anbu Selvi, N. Senthamilarasi - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.14871
DOI	https://doi.org/10.36948/ijfmr.2024.v06i02.14871
Short DOI	https://doi.org/gtmzs4

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