#CompletetheMap Brasília - OpenStreetMap Edits


#1

UPDATE: Edit challenge is now live. Access the task here by visiting TeachOSM and granting access to OpenStreetMap.

A task to improve OpenStreetMap using Mapillary imagery collected in #CompletetheMap Brasília

Dates: November 19th - December 31st, 2017

The community in central Brasília will soon be capturing street-level images of the city to enable mapping of road characteristics and points of interest. Read more on the image capture challenge here.

The image capture challenge will commence on November 12th, followed by the OpenStreetMap editing task on the 19th when enough imagery is available.

In the meantime, here’s a look at the focus and instructions of the Brasília OpenStreetMap task:

Brazil’s capital Brasília is an urban planner’s paradise. As early as the 1800s there were suggestions that the country’s capital be relocated from Rio de Janeiro on the coast to a more central location reflective of the country’s vastness. In 1957 after an international contest, a design was selected and the Brasilia we know today started to emerge on the map.

With such an enormous country to map, OpenStreetMap Brazil has a large task at hand. While Brasilia has had a lot of the main detail added, there is still a lot of critical road related information that can help navigation around the city.

The purpose of this mapping task is add and update key road data in central Brasilia. The task roughly mirrors the shape of a plane on which Brasilia was designed. The main tags to be added are speed limit, turn restrictions, number of lanes, direction of travel and key Points Of Interest (POIs) such as government buildings, hospitals, schools, museums, and shops.

The primary source of imagery for this task is Mapillary street-level imagery. This can be enabled by selecting ‘Map Data’ and enabling the Mapillary Photo Overlay. Running alongside this editing task is an image capture task to ensure that editors have the street-level images they need to make edits. If you are located in Brasilia, you are welcome to participate and help the cause. Visit the #CompletetheMap page to find out more.

A useful tool to help you identify road characteristics is Mapillary’s traffic sign detection. You can enable this by clicking ‘Map Data’ and enabling the ‘Traffic Sign Overlay’. When the data has loaded for the given area, it will show which type of signs have been detected. Click the sign to bring up the image in which it was detected.

Speed limit
The above tool is a useful way to get a quick overview of the speed limits in different parts of the city. Compare the detections with the current value for the maxspeed key. In situations where the speed limit is changes over different sections of the same road, double click on the way to create a new node. Right click on this node and select ‘Split’ to designate characteristics specific to this section of road. You can mark end of the section by splitting again at the end of the section.

Turn restrictions
In iD editor, turn restrictions can be added by double clicking on the section of the way where the two roads intersect.

Direction of travel
Many of the roads in Brasilia have one direction of travel. Ensure that this were set up correctly and that roads that go both ways are also labelled correctly.

Number of lanes
Adding the number of lanes is very useful for navigation and understanding traffic flows through the city. The number of lanes should equal the total number of lanes for the given way. If one direction has more lanes than the other, you can reflect this by adding lanes:forward=* and lanes:backward=* where the forward direction corresponds to the direction of the OSM way.

Points of interest
Points of interest are in constant need of updating as businesses open and close and services move. Be on the lookout for government buildings, schools, hospitals and clinics, and commercial buildings such as shops, restaurants, and services.


#2

Please note that the edit task has moved from TeachOSM to Mapbox’s tasking tool. The task can now be found here: http://tasks.mapbox.com/project/126