Open Data Case Study – HERE

Open Data Case Study – HERE

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The changing face of automotive navigation

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What: Providing data for in-car navigation and other location services


When: 1985 (Rebranded in 2012)

The Data

Data: Road, traffic and geographic features

Source: Thousands of sources globally – central and local government

Formats: Various geospatial

Licence: Data use in NZ is Creative Commons 4.0 International

In our rapidly changing digital world, new technologies are driving our futures. Just around the corner are driverless cars. These automated cars are expected to help ease traffic congestion, lower pollution and prevent accidents.

One of the core organisations working on enabling driverless cars is global location giant, HERE.

HERE is creating maps for 196 countries, public transit maps for 1,000 cities and indoor maps for 90,000 buildings across 13,000 venues.

They are enabling the next stage in the evolution of the car by creating high definition live maps, cloud-based vehicle sensor processing capabilities, and new embedded vehicle companion experiences.

HERE powers precise, highly contextual and individually tailored guidance solutions for vehicles as they become increasingly automated and, ultimately, fully autonomous.

“Having vehicles with less than full autonomy can substantially contribute towards the ultimate goal of having safer vehicles on our roads.”

Ministry of Transport

Where can we eat? – Ask the car!

Four out of five in-car navigation systems use high quality data provided by HERE. HERE builds their map using complex data aggregation and sophisticated grooming processes. In New Zealand, HERE consumes open data from Land Information New Zealand and local government agencies. They have also looked to the Ministry for Primary Industries (who carry out food safety inspections) for data on the location of every eatery in New Zealand. So when you have found your way to that new place on your road trip, you can ask your car where to eat!

Wanted! – Data

Safety related data such as road hazards, speed limits and scheduled roadworks are required in the HERE map so motorists can be forewarned and alternative routes suggested. Other beneficial data required include Public Transport data enabling travelers a fully integrated multi-modal end-to-end route.  Accurate suburb boundary data allows users to search and plan prior to arriving. Landmarks and places of interest (POIs) will further improve the searching capacity and cartographic features such as buildings, parks and water bodies will provide further visual context to the map.


Photo: Robert Sarkisian

Creative Commons Licence CC-BY You’re welcome to re-use this case study under a Creative Commons Attribution 4.0 New Zealand License


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