Specific Objectives:
i. Develop an Adaptive Traffic Control System: Utilize AI and reinforcement learning to create a system that dynamically adjusts signal timings based on real-time traffic density and incident detection.
ii. Implement Computer Vision for Traffic Optimization: Integrate camera-enabled systems to monitor vehicle and pedestrian movements, detect violations, and optimize traffic flow.
iii. Enhance Pedestrian Safety: Implement adaptive pedestrian signals and countdown timers to minimize risks and improve compliance at intersections.
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iv. Establish a Cloud-Based Data Storage System: Develop a platform for storing and analyzing traffic data, enabling remote monitoring and data-driven decision-making.
v. Simulate and Evaluate System Performance: Test the system under diverse traffic scenarios in the CARLA environment to validate its effectiveness in reducing congestion, improving safety, and prioritizing emergency vehicles.
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