Made the Vector version 3. Squared it up by getting the height 12 tiles shorter, while also giving the overall intersection an ever so slightly thinner footprint. Added some (atrociously spaced) roboports and electric poles. Put slightly more care into signals, cutting back by like 10% with negligible impact on TPM, although I still have no real idea what I'm doing.SavageVector wrote: Wed Jan 15, 2025 10:34 am Hi! I have literally no idea what I'm doing, but I made a 4-lane 4-way RHT intersection. I run 2-8 trains which locks up a lot of elevated 4-lanes I've seen, and my city block size is only 256, which removes most of the rest. I really wanted an intersection with no crossings, so just did my best. Looks pretty messy, and I have no idea how to do rail signals on an intersection without crossings; but I think it works okay?
I call this one the Vector V2 (you don't want to see the first) because I'm uncreative and vain. I don't like that it's taller than wide, and it could use a little cleaning up on some curves; but since this is my first ever 4-lane 4-way in general, I'm just gonna call it good enough.
Edit: I just noticed that my 2-way symmetrical intersection has 225 rail signals. Okay, it is no longer good enough...
2-4-0: 197.37 TPM
2-8-0: 128.96 TPM
01-15-2025, 05-19-49.png
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- 01-18-2025, 06-33-47.png (933.62 KiB) Viewed 471 times
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