| ▲ | swiftcoder 9 hours ago | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
> But why would you transmit all this information to every train, instead of just computing the collisions in a central node? Because central nodes can fail (as they did here, both human and machine), and providing this redundant data allows both the computer and the human-in-the-loop on the fast-moving chunk of steel to independently validate the decisions coming from the central node. > You regularly pass other trains within <2m at high speeds, so linear offset is not all you need. In this collision, both trains were on the same track. So while we obviously care about adjacency issues in the general case, this specific failure mode can be detected purely via a linear offset. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ▲ | 1718627440 8 hours ago | parent [-] | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
You can and do have redundancy in the central node already. Also that's not what failed here. > In this collision, both trains were on the same track. Yeah, but how do you distinguish that? So when I understand you correctly, what you want is: Find another moving chunk of metal in the radius of 2km, which moves toward you, but not in a direct or ballistic trajectory, but in a arbitrary complicated trajectory, but which can lookup in a database. Also you are operating in the real world, so there are potentially houses, trees and mountains in between. I guess that would be possible, but it would be really expensive. Your best bet would be to adapt a missile detection and targeting system from the military. A system which does exist and is somewhat similar is RCAS (https://www.dlr.de/en/kn/research-transfer/projects/next-gen...). | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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