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Since they have actual vehicles on the ground, they could collect data on actual travel times under various traffic conditions and apply a bit of ML to predict
by kijin 7y ago
Since they have actual vehicles on the ground, they could collect data on actual travel times under various traffic conditions and apply a bit of ML to predict how long it's going to take under current conditions. No need for any Google API there.
But now that their Google bill is only ~$50/day, it might not be worth building their own prediction system.
- DeathArrow 7y agoIf ML could predict everything with accuracy, they would be better by predicting lottery, stock prices or Forex pairs. I used an app which predicts public transportation arrival time based on historic data and it mistakes most often than not, sometimes by a lot.
- srean 7y agoTo me your comment sounds unnecessarily rude. I guess you are reacting to private smug conversations with people who eulogize ML but are clueless about what they are talking about. Usually the amount of conviction they add to their comments and advice is inversely proportional to their knowledge. I am tired of those too, to the point of being allergic in spite of being an ML practitioner myself. The parent comment could have been worded better but I think you will agree that there is scope for using ML or statistical modeling of some kind to optimize the use case both in API cost and accuracy. Making some minimal number of API calls would very likely be part of such a system.
- manigandham 7y agoTechnically, that's what Google's API is doing anyway, just with much more data, training and resources.