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Otonomo increases utilisation of crowd data for smart cities

The automotive data services platform will make the data available for new use cases that reduce urban congestion as well as improve the driving experience.

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Data from connected cars is being increasingly used to reduce urban congestion
Data from connected cars is being increasingly used to reduce urban congestion

The automotive data services platform Otonomo is expanding its capabilities to make additional crowd data available for smart cities and real-time traffic information.

 

In addition to supporting personal services for BMW and Mini connected vehicles across the globe, Otonomo will also make crowd data available for new use cases that reduce city congestion and improve the driving experience.

 

Crowd data

 

Crowd data is now available from connected BMW and Mini vehicles located in more than 44 countries, along with data from other automotive manufacturers.

 

The Otonomo Automotive Data Services platform aims to increase the value of this data by reshaping it and enriching it so application and service providers can more quickly utilise it in their applications.

 

Use cases supported by this initiative include:

  • parking: aggregated ultrasonic sensor data from BMW vehicles can be used to identify open parking spots and estimate parking availability, which in turn helps to decrease urban congestion
  • urban planning: the content and location of road signs detected by forward cameras from BMW advanced driver assistance systems (ADAS) enrich the understanding of traffic flows through urban environments and highways
  • real-time intelligence: real-time traffic information and navigation services and apps can use BMW data to highlight areas of congestion and help drivers find the fastest routes
  • local hazard warning services: BMW local hazard data provides a way to alert drivers of dangerous road conditions – including heavy rain or dense fog – through mapping and navigation services. In addition, information on dynamic signage can issue warnings on slowdowns, slippery roads, or ice.
  • mapping services: road sign and ultra-sonic sensor (USS) data keep critical road information updated. This includes speed limits shown on road signs and temporary road and speed changes caused by construction work
  • municipal maintenance and road optimisation: analytics can use BMW road sign data to identify signs that are missing or damaged and even trigger repair orders.

“Otonomo has long focused on building an ecosystem around car data that is open to many parties and inclusive for many use cases,” said Ben Volkow, chief executive office and founder of Otonomo. “We’re excited to be able to expand this ecosystem with crowd data from BMW and Mini vehicles.”

European consumers have a solid interest in new apps, services, and crowdsourced insights based on connected car data, but that the ecosystem is still very much in a building phase.

BMW Group road sign data, traffic data, ultrasonic sensor data, and hazard data are now available to service providers who are registered on the Otonomo platform.

 

The Otonomo Automotive Data Services platform helps to power an ecosystem of OEMs, fleets and service providers. It claims to securely take in more than two billion data points per day from over 20 million global connected vehicles.

 

Earlier this year Otonomo undertook a consumer study on car data and privacy. It revealed that European consumers have a solid interest in new apps, services, and crowdsourced insights based on connected car data, but that the ecosystem is still very much in a building phase.

 

It also revealed relatively low awareness among drivers about their car data collection and how GDPR protections applies to it.

 

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