Bengaluru is advancing its traffic management system with the introduction of AI-enabled Adaptive Traffic Control System (ATCS) signals at 41 junctions across the city. This upgrade is part of a comprehensive multi-phase plan aimed at automating traffic signals to streamline traffic flow and minimize manual intervention.

Of the 41 junctions, seven are newly outfitted with ATCS signals, while 34 have been upgraded from older camera-based adaptive systems. By December, Bengaluru plans to equip 165 junctions with fully automated AI-powered signals. This will include 136 upgrades and 29 new installations, predominantly in the southern and western regions of the city where there are no significant metro or road projects that could disrupt the implementation, as noted by MN Anucheth, Joint Commissioner of Police (Traffic).

The new ATCS signals operate in three modes:

  1. Manual Mode: Allows traffic police to override the system for emergencies like ambulances or VIP movements.
  2. Vehicle Actuated Control (VAC) Mode: Utilizes computer vision-enabled cameras to count vehicles and adjust signal timings in real-time.
  3. ATCS Mode: Synchronizes signals across multiple junctions, a feature recently activated on KR Road, Rose Garden Road, and Hudson Circle.

Notable junctions now equipped with ATCS signals include NR Square, Town Hall, BMTC on KH Road, Minerva Circle, and RV Teachers College.

As of September, Bengaluru has around 900 manually managed junctions without signal systems. The city currently has 405 signalized junctions, with 32 utilizing camera-based adaptive signals and 28 part of the Directorate of Urban Land Transport’s (DULT) ‘MODERATO’ signal project. By year’s end, Bengaluru will boast over 500 signalized junctions, including the newly upgraded 165 ATCS and 50 additional adaptive signals.

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