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I've been collecting Penn Station NJT and LIRR track assignment data for almost a year now. I've been intending to use ML to predict track assignment, but have
by DontSueMeBro 9y ago
I've been collecting Penn Station NJT and LIRR track assignment data for almost a year now. I've been intending to use ML to predict track assignment, but haven't gotten there yet. I should post it to Kaggle or somewhere similar.
- jrockway 9y agoDo you think the track assignment is something that's learnable? I feel like there is some schedule where, under normal operations, the train will end up. But then there are unpredictable events that cause this to change.
- DontSueMeBro 9y agoI think it is. Like in the article, you can see that given certain parameters like train number and time, you predictably end up with a certain track assignment. If you can also consider track assignments leading up to this time, you can discount those tracks. For example, the 8:02PM Long Beach train always leaves on track 18, except when any 7:56 train left on track 18. As a novice to ML it's currently beyond my ability to model, but my intuition is that it should be doable.