this post was submitted on 01 Mar 2025
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I said something about road hierarchies, you ignored it.
These systems are in operation. You claimed they lead to gridlock. What I get from the Chinese experiment here is that they collected data, threw an optimisation algo on it, and then adjusted local parameters, "err towards giving more green time in this direction" type of deal. They're still going to use the same type of adaptive, local-control system that's becoming increasingly common in the last decade.
Vehicles travelling on roads constitute information travelling over roads. Are you trying to deliberately misunderstand what I'm saying. You do not need to look at the app of the parcel carrier to know that your parcel arrived, it's right there on your doorstep. That's information. Metaphorically, thus, package delivery trucks are wires.
50 years ago we neither had the sensors we have now, nor did we have the processing power to use it. Traffic light control was often still done electromechanically. "Adaptive" means a lot more than "pedestrians have a button and there's an induction coil to detect a car". Those systems actually solve the local problem optimally which, in the case of traffic management, means that the global problem is solved optimally because the problem has optimal substructure. Don't ask me for a proof of optimal substructure I just sat on a municipal traffic committee, I don't actually design those systems. Got annoyed at stupid NIMBY questions so I drowned them with smart ones. When you observe those kinds of lights in low traffic situations they're green for everyone because they switch as soon as they see someone arriving and noone else needs to be let through. In higher traffic situations they prioritise throughput, but make sure to not let waiting time for others get exceedingly long, or allow large backups.