Smart Traffic Management System for Urban Congestion
The rapid increase in vehicles has created major challenges in parking management and electric vehicle recharging in urban areas. To address this issue, this work proposes an AI-driven smart auto parking system with integrated recharging. The system uses IoT sensors, cameras, and embedded controllers to detect vehicle presence and identify available parking slots automatically. Artificial Intelligence is applied for efficient slot allocation and space optimization. Electric vehicles parked in designated slots are automatically connected to a recharging unit, enabling smart energy usage. Parking and charging data are sent to a cloud platform for real-time monitoring and user access. The proposed system reduces traffic congestion, saves time, and supports smart city development with an efficient and eco-friendly parking solution.
Please Login using your Registered Email ID and Password to download this PDF.
This article is not included in your organization's subscription.The requested content cannot be downloaded.Please contact Journal office.Click the Close button to further process.
[PDF]
Adaptive AI-Driven Microgrid Control for Real Time Integration of Decentralized Renewable Energy in Emerging Industrial Zones
As localized energy systems, microgrids provide a viable way to solve problems with energy dependability and access in rural and isolated locations. These regions often have inadequate and unstable grid infrastructure, which restricts their access to energy. Artificial Intelligence (AI) improves the overall performance, flexibility, and efficiency of microgrid systems. AI ensures a steady and dependable power supply by enabling predictive maintenance, optimal load forecasting, energy storage management, and renewable energy resource optimization. AI may help microgrids anticipate system faults, better control energy consumption, and prolong the life of vital parts. Additionally, AI ensures the sustainability of microgrids in resource-constrained places by optimizing the usage of renewable energy sources like solar and wind. Successful case studies from places like the US, India, and Africa have shown the promise of AI-enhanced microgrids in raising the standard of living for marginalized areas, despite obstacles like data infrastructure and upfront installation costs. Microgrids have a bright future thanks to developments in artificial intelligence (AI), which might increase electricity availability and promote economic growth in rural and isolated regions of the world.
Please Login using your Registered Email ID and Password to download this PDF.
This article is not included in your organization's subscription.The requested content cannot be downloaded.Please contact Journal office.Click the Close button to further process.
[PDF]