Primary competition visual

Accra Mobility Prediction Hackathon Powered by Yango

Helping Ghana
$1 000 USD
Challenge completed 12 months ago
Prediction
202 joined
87 active
Starti
Nov 23, 24
Closei
Nov 23, 24
Reveali
Nov 23, 24
About

The data was collected from the track logs of transportation service providers (Yango partners) in September 2024, for Accra.

The data contains aggregated statistics on the numbers of cars and speed of travel along Accra's main highways.

The set of data includes 2 tables, the first containing statistical data with an interval of time and persistent_id (the id of a road section), the second containing a road graph, with persistent_id and other attributes such as the geometry of a section, its name.

Additional information on the days of the week.

For example, first_holiday_05_1_ is:

  • the first day off (usually Saturday, but there may be a holiday in the middle of the week)
  • the 6th hour (from 5 to 6)
  • the 2nd quarter (from 15 minutes to 30 minutes)

And first_holiday_05_ is for the entire 6th hour of the first weekend

  • first_weekday = Monday
  • second_weekday = Tuesday
  • other_weekday = Wednesday
  • lbo_weekday = Thursday
  • last_weekday = Friday
  • first_holiday = Saturday
  • other_holiday = Sunday
Files
Description
Files
Variable definitions for the Graph table.
This file describes the variables found in train and test.
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
Train contains the target. This is the dataset that you will use to train your model.
This is additional information regarding each road segement.
Is an example of what your submission file should look like. The order of the rows does not matter, but the names of the "ID" must be correct.
This is a starter notebook to help you make your first submission.