DIGITAL ELLIPTICAL PRODUCT LABW-27
ADAPTIVE REINFORCEMENT SIGNAL CONTROL & MUNICIPAL GREEN WAVES

Eliminate city gridlock with adaptive green waves.

UrbanFlow synchronizes hundreds of traffic signals dynamically based on inductive loop detectors and camera queues, cutting rush hour delay by 34% and prioritizing emergency vehicles in real time.

SIGNAL CONTROLLER MESH :: CORR-BWAY-01
18 Intersections • 4200 Veh/Hr
CORRIDOR PROGRESSION STATUS
Inbound Morning Green Wave Synced (45mph Progression)

Queue delay reduced by 34.2% vs fixed-time cycle.

AI ADAPTIVE PHASE OVERRIDE
Extend Phase 2 Green by 14 seconds on Broadway & 5th Ave to clear bus rapid transit platoon.
Commuter Delay Saved:14.8 Minutes/Vehicle

Interactive Signal Grid Modeler

Simulate adaptive green waves and transit priority.

Select an urban traffic corridor to dynamically re-tune signal cycle splits and clear vehicle platoon queues.

Urban Arterial Corridors
CORR-BWAY-0134.2% DELAY SAVED
Broadway Commercial Arterial (Downtown)
18 Signals • 4200 Veh/Hr
CORR-WILSHIRE-0429.8% DELAY SAVED
Wilshire Boulevard East-West Transit Spine
28 Signals • 5800 Veh/Hr

Broadway Commercial Arterial (Downtown)

Inbound Morning Green Wave Synced (45mph Progression)

SIGNAL CONTROLLER SPLIT TIMING (NTCIP 1202 STANDARD)
Phase 2 (Mainline Through): 68 sec [Green Extension Active]
Phase 4 (Cross-Street Left): 18 sec [Actuated by Loop Detector #4]
Transit Priority: Bus Rapid Transit (BRT) Transponder Verified (No Stop)
Arterial Commute Speed Acceleration

Vehicle platoon progression maintained at continuous 45 mph across all 18 downtown intersections, cutting vehicle idling emissions by 42 tons daily.

Engineering Architecture

NTCIP protocol integration with edge AI vision encoders.

Deployed on roadside 2070/ATC signal cabinets communicating over fiber NTCIP 1202 protocols, ingesting 4K thermal intersection cameras at 30 fps for vehicle classification.

NTCIP 1202 Signal Control

Direct integration with municipal signal controllers for dynamic cycle, offset, and split adjustments.

Emergency Vehicle Preemption

Clears immediate green paths for sirens and GPS-tagged fire trucks and ambulances in < 2 seconds.

Multi-Agent Reinforcement Learning

Coordinated Q-learning agents optimize macro grid throughput without creating downstream bottlenecks.

ENGINEERED BY DIGITAL ELLIPTICAL

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