Prediction of travel time and determination of prediction interval

This is a computer system that learns from many past trips, noting when they happened (like Monday morning or during dinner hours) and how long they actually took. It uses this information to build a digital model that can predict how long a future trip will take. Specifically, it calculates the predicted travel time based on the median of its predictions and also gives a range of uncertainty for that prediction, then shows both to the user.

Why it matters: The patent was filed before the widespread availability of highly optimized probabilistic machine learning frameworks. Calculating robust prediction intervals, a core claim, is now more accessible and computationally efficient with current tools.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning software system

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