Rambagh AI Traffic Signal Pilot
A 39-day continuous deployment converting live traffic video into structured mobility intelligence, handling 4.88 million vehicles with zero manual intervention.
Field Deployment Dossier & Operational Results
Comprehensive data from 24/7 continuous unattended operation across all approaches.
High-density urban roundabout requiring precise, real-time traffic phase management to prevent gridlock and reduce heavy idling emissions.
Deployed between 3 June 2026 and 11 July 2026, operating 24/7 across all approaches.
Continuous classification and counting of vehicular traffic, processing over 48 lakh vehicles.
Applying adaptive algorithms to distribute signal phases dynamically, saving 8-45 seconds per lane.
System achieved 100% AI autonomy with no manual traffic police intervention required. Cumulative daily travel delay was reduced by an estimated 2-6 hours.
Reduced daily carbon emissions by 65 KG by minimizing vehicle idling, projecting an annual saving of 23,725 KG of CO2.
Analyzing the 45,944-cycle dataset to map long-term mobility trends and refine the adaptive decision engine for city-wide expansion.
Controlled Phase Structure & Dynamic Splits
IRC:SP:87 multi-ring dual-barrier signal phasing configuration deployed at intersection.
- >Tonk Road flyover underpass
- >Arterial bus trunk
- >Civic Center corridor
- >Statue Circle connector
- >Stadium bypass
- >Hospital emergency access corridor
Deployment data available on authorized request
Municipal comparative wait-time indexes, law enforcement telemetry feeds, and 39-day raw PCU distribution datasets are classified under state ITMS pilot protocols. Authorized government representatives may request official dossier access.