AI-Based Adaptive Traffic Signal Control

• Dynamically adjusts signal timing to reduce congestion and improve flow.
   

Complex/Mixed Traffic Intersection Management

• Handles multi-modal traffic including vehicles, motorcycles, bicycles, and pedestrians.
   

Arterial Coordination

• Supports synchronized signal plans for main corridors to reduce stops and improve throughput.
   

Standalone Edge Deployment

• Operates independently without requiring centralized control or stable cloud connectivity.

Reinforcement Learning (RL) Engine

• Utilizes RL models to predict mixed traffic flow instead of relying on traditional time-based or sensor-triggered schemes.
   

Non-Cyclic Signal Control Architecture

• Adapts traffic light timing dynamically based on real-time conditions to ensure smoother intersection operations.
   

Edge SoC Inference Execution

• Entire AI inference process runs directly on the edge SoC, eliminating the need for cloud-based processing.
   

Low Latency & Enhanced Security

• Minimizes network transmission delays and cybersecurity risks, improving reliability in field deployments.