Predicting congestion is an important part of any traffic management system. With accurate forecasting traffic can be effectively regulated, ensuring safe and fast journeys on the roads. Based on data from Transport for London (TfL) we trained a neural network in TensorFlow that predicts congestion in south-west London. With this use case as example we will demonstrate how TensorFlow can be used to build predictive models for time series data.

Robert Lacok – Data Scientist, Datatonic

For other TensorFlow events and webinars, join London TensorFlow Meetup here: https://www.meetup.com/London-TensorFlow-Meetup

Tweet: #LTM / @teamdatatonic

Videographer: Joana Job Pinto

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