Stack diffrent sized trains together.
Hi there i made a Bluebook for a Quirky Stacker and want to share it with you.
Useful for stations that manage diffrent train lengths or regional separation buffer.
The complete stacker blueprint like in the screenshot is for up to 8W:
Incoming and outgoing rails are aligned so it can easy replace a straight track part.
General: In some case a train is refusing to stack behind another due to penalties - there is a timer that will unlock the clear rails if there is one available after a duration of time (Timer Unit T>=300 (5sec)). Power connection required to work correctly.
On power fail: May works slower but still lets trains pass and stack but may not stack correctly or a train may block the stacker back side for a while which make trains behind wait at the length check.
Diffrent setups:
Modular Segment blueprints included in the Book for diffrent setups (segments markered in the screenshot). Extendable in both length and number of lanes (or less lanes if you want).
The segments should be placed with overlaping signals so that the wire will be connected. If the waiting time should be longer or shorter for stack-behind refusing trains it can be changed in the timer unit at the length check front part (the one with >=).
Dont forget:
- Minimum length of quirky-stacker and length-check should fit the largest train that comes through!
- red wire connection from stacker end and length check poles
- outleading signal
- give power
Bluebook string:
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