Incident data in Cape Town, South Africa has been provided by SANRAL Freeway Management System and travel times between zones in Cape Town have been provided by Uber Movement.
The aim of this challenge is to forecast if an incident will occur for each hour of each day per 500m road segment along the major roadways in Cape Town for 1 January 2019 to 31 March 2019.
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Uber Movement provides historic travel time between any two points in Cape Town. Any tables that are extracted from the Uber Movement platform can be used in your model. Read more about Uber Movement here.
Uber Movement provides the data for all quarters from Q1 2016 to Q1 2019.
Within each year, for each quarter there are three files:
Data sets include the arithmetic mean, geometric mean, and standard deviations for aggregated travel times over the selected date-range between every zone pair in the city.
Geo boundaries available in geospatial (GeoJSON) format, including Zone IDs used in the other export options. This can be found on Uber Movement, Cape Town, Download Data, Geo boundaries.
*Note for Q4 2018: This selection may be missing data from 10/26/2018 - 10/30/2018
To download from Uber Movement platform
Go to Uber Movement, Cities, Africa, Cape Town
The SANRAL data was collected from the Traffic Management Centre (Goodwood, Cape Town). From 2016 to 2019.
Vehicle detection sensor (VDS) data
You can interact with the SANRAL traffic website here.
You may use weather in your model. Please suggest weather datasets that can be made available to everyone by writing to firstname.lastname@example.org. We will assess whether the data should be allowed in this competition. We will post links to these new datasets below in this section and also announce them on the discussion forum. Until we respond, please assume that you are not allowed to use the dataset in your solution.
You may use ArcGIS and HERE data for land use and infrastructure, however, you may not use it for anything traffic-related.