DIGITAL ELLIPTICAL PRODUCT LABW-27
REINFORCEMENT LEARNING TRAFFIC SIGNALS & TRANSIT PRIORITY

Clear arterial gridlock by 34.8% with AI green waves.

UrbanFlow AI coordinates 500+ municipal traffic signals in real time, adjusting green phase splits to vehicle queue density and granting priority extensions for public transit buses.

MUNICIPAL TOC SIGNAL STREAM :: MAIN ST ARTERIAL
CORRIDOR AVERAGE VELOCITY: 28.4 MPH (+34% GAIN)
MULTI-AGENT DEEP Q-LEARNING

Dynamically synchronized phase offsets across 12 consecutive intersections, eliminating stop-and-go wave propagation.

TRANSIT SIGNAL PRIORITY (TSP)

Granted 8-second green extension to delayed BRT Express Bus #84 without causing cross-street pedestrian delay.

SECTION 02 · ARTERIAL GREEN-WAVE SIMULATOR

Simulate Adaptive Corridor Synchronization

Test how UrbanFlow reinforcement learning models adapt signal timing splits to clear congestion spikes, prioritize buses, and reduce emissions.

EVENING_RUSH_HOURMONITORING QUEUE TELEMETRY
AVERAGE CORRIDOR SPEED14.2 mph (Congested)
CO2 IDLE REDUCTION--
TRAFFIC CONTROLLER LOG

Sensor camera reported 42-vehicle queue at 4th Ave intersection; evaluating green extension setpoint.

Protocol: NTCIP 1202 StandardTransit Priority: Active
ENGINEERED BY DIGITAL ELLIPTICAL

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