Smart Traffic Management and Optimization System Using Cloud Computing

Smart Traffic Management and Optimization System Using Cloud Computing
Author(s):
Parise Vaasanthi, Karan Rathod, Banala Thanush, S.Indhumathi
Keywords:

Abstract
: In modern urban landscapes, the burgeoning challenges of traffic congestion, inefficient transit systems, and environmental impact necessitate innovative solutions for smarter traffic management. This abstract presents a comprehensive approach to address these challenges by leveraging the capabilities of cloud computing in a smart traffic management and optimization system. Integrating real-time data collection from diverse sources such as sensors, cameras, and iot devices, this system harnesses the power of cloud-based infrastructure for storage, processing, and analysis. Through predictive algorithms, traffic prediction models, and adaptive control mechanisms, the system aims to forecast traffic patterns, minimize congestion, and optimize traffic flow dynamically.
Article Details
Unique Paper ID: 162540 Publication Volume & Issue: Volume 10, Issue 10 Page(s): 384 - 390
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NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

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