Dataset from: https://www.aiforsea.com/traffic-management
Prediction using linear reggression model
The given dataset contains normalised historical demand of a city, aggregated spatiotemporally within geohashes and over 15 minute intervals. The dataset spans over a two month period. A brief description of the dataset fields are found below:
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geohash6 : geohash level 6, Geohash is a public domain geocoding system which encodes a geographic location into a short string of letters and digits with arbitrary precision. You are free to use any geohash library to encode/decode the geohashes into latitude and longitude or vice versa.
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day : day, where the value indicates the sequential order and not a particular day of the month
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timestamp : start time of 15-minute intervals, in the following format: :, where hour ranges from 0 to 23 and minute is either one of (0, 15, 30, 45)
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demand : aggregated demand normalised to be in the range [0,1]