The decision on the table
Signal timings set junction by junction leave traffic backing up across the network. Coordinating them is a large combinatorial problem the conventional method handles locally.
Mobility · automotive
Signal phases optimised across a city network in simulation: about 20% less vehicle waiting time than the conventional method. A 2020 simulation study delivered through our platform network with a quantum-inspired optimiser; not a field trial.
Headline result
about 20% less vehicle waiting time, in simulation, June 2020
Platform networkClassical computation
Signal timings set junction by junction leave traffic backing up across the network. Coordinating them is a large combinatorial problem the conventional method handles locally.
Signal phases across the network were optimised together with a cloud quantum-inspired optimiser and the vehicle waiting time measured in a traffic simulator against the conventional method.
about 20% less vehicle waiting time, in simulation, June 2020
For a client, the next step is the first engagement on this page’s industry: you send one controller and its operating point. You get back the safe-episode comparison against your current model. Two weeks.
Decision it enabled
Less waiting across the network
Instead of: the conventional signal-timing method
Verified by · Delivered through our platform network; quantum-inspired optimisation; simulation, 2020; not a field trial.
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A disturbance model measured on a 128-qubit processor was the only one that certified a controller safe at its operating point.
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A resist, a grid plan, a controller, a cipher: you get the answer, the method it was checked against, and its status. The free check runs in your browser.