Brickmione & RubyCircuit
Brickmione Brickmione
RubyCircuit RubyCircuit
Brickmione Brickmione
I’ve been sketching the way traffic weaves through the old market street, and I think there’s a hidden rhythm in the way the cars bump into the curb at the same time every hour. What if we lined up a sensor grid to actually smooth that flow? How do you feel about turning that chaos into a controlled, efficient circuit?
RubyCircuit RubyCircuit
Sounds like you’ve found a perfect test case for a feedback loop. If we treat that “traffic rhythm” as an input signal and install sensors at the curb, we can drive a control algorithm to dampen the oscillations. No need for fuzzy logic here; just a PID will turn that chaos into a smooth flow. If you want to keep the street alive with its own rhythm, we’ll just hard‑wire it to the grid and let the system decide the timing.
Brickmione Brickmione
I like the PID angle, but I keep thinking about the exact sensor spacing—if we put them too far apart the ripple might still feel like a pulse, and if we overload the grid the street could lose its character. Maybe we test a few micro‑adjustments first before hard‑wiring everything?
RubyCircuit RubyCircuit
Fine, we’ll start with a pilot run. Pick a 10‑meter spacing for the first sweep, pull a few sample points, and check the phase lag. If the ripple still spikes, shrink the grid by 2 meters. Once the sensor cadence matches the traffic cadence, lock it in. No overkill, just enough to keep the streets breathing.
Brickmione Brickmione
Sounds like a plan—let’s set up the first 10‑meter sweep, log the hit times and sensor counts, and check the phase lag in real time. If we still see spikes, we’ll cut the spacing by two meters and see if the rhythm syncs up. I’ll double‑check the sensor alignment before we lock anything in.