Intelligent Traffic System
| dc.contributor.author | Akash Yadav 1NH22MC009 | |
| dc.date.accessioned | 2025-05-12T08:44:56Z | |
| dc.date.available | 2025-05-12T08:44:56Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | The Traffic Management System represents a transformative approach to urban mobility, integrating IoT, cloud computing, and machine learning technologies to enhance traffic monitoring, analysis, and optimization. This system utilizes IoT sensors and traffic cameras to capture real-time data on traffic flow, congestion levels, and incidents throughout urban areas. Cloud computing infrastructure provides scalable storage and processing capabilities, enabling efficient data handling and analysis. Technologically, the system is built upon ASP.NET Web API Core and Angular frameworks, facilitating the development of responsive web and mobile applications. These applications deliver real-time traffic updates and personalized route recommendations to users. A robust SQL database stores and manages historical traffic data, supporting long-term analysis and decision-making. Azure Functions streamline data processing tasks, ensuring rapid response to dynamic traffic situations. | |
| dc.identifier.uri | http://192.168.75.5:4000/handle/123456789/18704 | |
| dc.language.iso | en | |
| dc.publisher | NHCE | |
| dc.title | Intelligent Traffic System |