Research Project
Smart City Traffic Management System
Description
A project to design and implement a smart traffic management system using IoT, AI, and cloud computing to optimize traffic flow and reduce congestion in urban areas.
Objective
The objective is to develop a system that uses real-time traffic data, AI algorithms, and sensor networks to improve traffic management, reduce wait times at intersections, and lower pollution.
Partners
- CloudInnovators
Team
Professors
- Abdellah NABOU
Students
- Adil Ait Taleb
- Dounia KNIDIRI
Project Duration
Start Date
2025-03-15
Duration
12 months
Project Details
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