| Title | Edge Artificial Intelligence for Intelligent Traffic Management in Smart Cities |
| Research Area | Artificial Intelligence |
| Abstract | Rapid urbanization has created significant challenges for transportation systems, particularly in
densely populated cities where increasing numbers of vehicles compete for limited road capacity.
Traffic congestion causes longer travel times, increased fuel consumption, air pollution, and reduced
productivity. Conventional traffic management systems generally rely on fixed signal schedules,
centralized monitoring, and manually configured control strategies. These approaches are often
unable to respond effectively to rapidly changing traffic conditions. Artificial Intelligence (AI), Internet
of Things (IoT) devices, computer vision, and edge computing provide opportunities for developing
more responsive traffic-management systems |
| Keywords | Edge Artificial Intelligence, Smart City, Intelligent Transportation System, Traffic Management, Machine Learning, Edge Computing, Traffic Prediction, Computer Vision, IoT, Adaptive Traffic Signals |
| Paper Status | Published |
| Volume | 2 |
| Issue | 5 |
| Published On | 06/09/2026 |
| Published File |
IJSRTD_4891.pdf
|