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> It now makes the right location prediction 90% of the time. I’m curious about the failure cases. Are they caused by exceptional circumstances, such as the tr
by yonran 2y ago
> It now makes the right location prediction 90% of the time.
I’m curious about the failure cases. Are they caused by exceptional circumstances, such as the train moving more slowly than normal or skipping a station? Or when you unexpectedly catch an express train or go the opposite direction? Does the algorithm know that it doesn’t know where you are, or does it confidently tell you the wrong station until the GPS is acquired?
- Lance_ET_Compte 2y agoFor the express vs. local, sometimes it will ASK me what train I am on. When there are delays that cause trains to be closer together, it does this. I presume they are crowd-sourcing some data instead of trying to only use an algorithm. I do love this "Transit" app though.
- 30blay 2y agoGreat question! I'm one of the developers behind this project and your guesses are good. Other difficult cases include trains stopping between two stations (doesn't happen everywhere, but it's frequent in NYC), or a user walking fast onboard a moving train, which can be mistaken for the user having gotten off the train. Taking a train in the opposite directions will break the assumptions we make and we won't know until the next GPS location