NEWS – Bengaluru’s traffic management is set to improve significantly through the implementation of AI technology at traffic signals. The initiative aims to reduce vehicle travel time and enhance overall traffic flow in the city.

KEY DEVELOPMENTS

• Traffic Signal Improvements
  • Installation of new traffic signals at Hudson Circle resulted in a 33% reduction in vehicle travel time.
• Bengaluru Adaptive Traffic Control System (BATCS)
  • Designed to streamline traffic flow across the city.
  • Utilizes the Composite Signal Control Strategy (CoSiCoSt), developed by the Centre for Development of Advanced Computing (C-DAC).

Technology Overview

• Adaptive Signals
  • Unlike fixed-timing signals, adaptive signals use camera sensors to monitor real-time traffic.
  • Dynamic adjustments to signal timings improve traffic management based on current conditions.
• Operational Statistics
  • Currently expanded to 60 key junctions, including National College Junction, Town Hall Junction, and Halasuru Gate Junction.
  • The system operates automatically 90% of the time, switching to Vehicle Actuated Control (VAC) or Adaptive Traffic Control System (ATCS) modes during peak hours.
  • Manual mode is employed only 5% of the time for VIP or ambulance movements.

Future Plans

• Expansion Goals
  • Aim to extend the AI-powered system to 165 junctions by January 2025.
  • Plans to deploy AI in 250 out of 500 traffic signals by March 2025.
• Long-Term Vision
  • The police department’s goal is to achieve fully automated signalling across all junctions in the near future, enhancing efficiency during peak traffic hours.