Overview

TRACNet™ is an AI-driven Intelligent Traffic Management System designed to revolutionize urban mobility and infrastructure planning in Indian metropolises. It tackles traffic congestion, economic and societal issues, and contributes to climate change mitigation.

Problem Landscape

Traditional traffic management systems are limited by static signaling, inadequate emergency vehicle prioritization, and a lack of data analytics, leading to congestion, resource-intensive operations, and scalability constraints.

Core Mechanics of TRACNet™

TRACNet™ incorporates an AI and Machine Learning framework that works with existing CCTV infrastructure to overcome the limitations of conventional traffic systems, ensuring efficient and scalable urban traffic management.

Key Features

TRACNet™ offers hassle-free deployment, dynamic traffic management through Deep-Q Learning, a 15% reduction in greenhouse gases, high-precision analytics, resilient operation, and valuable insights for urban planning and advertising.

Expected Impact

The implementation of TRACNet™ is expected to enhance traffic flow, mitigate climate change, bring economic benefits, improve emergency response, aid data-driven urban planning, and contribute to technological innovation.