After some experiments with parallel stations which were horribly space inefficient, I wished I could make trains just line up to be unloaded simultaneously on 1 rail, simulating a longer train but unfortunately, inserters wouldn't interact with trains stopped by signals.
Then it occured to me that I could just have several stations in a row and each except for the last one only activates if there is a train unloading in the next one and I came up with this:
Blueprint
It's a storage station that can stack up to 16 outpost and 9 production trains and load up to 4 of them simultaneously on 1 rail.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
Has anyone else tried doing this before?
It's a prototype that I haven't put in my actual map yet so suggestions on how to improve it would be much appreciated.