Q-Flowurban intelligence grid
Live simulation

QUANTUM-ENHANCED ADAPTIVE CONTROL

Keep the city moving before congestion spreads.

A live six-intersection digital twin compares classical timing with hybrid QUBO/QAOA signal orchestration — down to every green phase.

Avg. wait
42s
network average 18.4%
Queue length
48 veh
peak approach 23.7%
Throughput
2.02k/hr
cleared vehicles 12.1%
Fuel saved
12.8 L
vs fixed timing 16.8%
CO₂ avoided
28 kg
this incident 14.5%
Emergency ETA
03:42
normal routing −0:38

SYNCHRONIZED DIGITAL TWIN

Strategy comparison

FRAME 0188
optimized green staged cross traffic congestion pressure vehicle stream

NETWORK DISTURBANCES

Scenario controls

Introduce a condition and watch congestion reroute across every synchronized strategy.

EMERGENCY GREEN CORRIDOR

Priority response route

STANDBY
Unit E-17 St. Anne ER
1
DetectPriority unit geofenced at western ingress
2
StageCross traffic safely cleared at A1 + A2
3
PreemptGreen corridor extends to B3
4
RecoverNormal cycle restoration after passage
01

Queue risk outranked nominal cadence

A2 eastbound is projected to reach 82% of its storage limit in the next 42 seconds. The QUBO objective assigns a high penalty to spillback that would block A1.

02

Cross traffic has a safe release window

B2 northbound can clear its current queue within the next protected pedestrian phase, allowing a 14-second extension without creating downstream delay.

03

Quantum search found lower network cost

The hybrid solver compared phase combinations across all six signals and selected this action at 18.4% less predicted total delay than fixed timing.

Built with GenMB
Built with GenMB