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In order to drive discussions on security / access control, sensitivity in terms of privacy, and many other aspects, it is important to be able to categorize vehicle data in groups (including multiple and overlapping views / filters / layers).   Analysis of this activity is started on this wiki page

In the GENIVI Technical Summit (November 2019), it came to discussion, how different vehicle datasets could be defined in order to provide OEM guidelines.

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Name: Parking
Purpose:Automated parking payment services and locators
Data pointDescriptionUpdate frequency
IgnitionThe ignition state, on or offOn change
LatitudeVehicle latitudeOn change
LongitudeVehicle longitudeOn change
Name: Pay-how-you-Drive (PHYD)
Purpose:Insurance services based on driving profile
Data pointDescriptionUpdate frequency
OdometerThe mileage in miles or metersTrip end
LatitudeVehicle latitudeOn change
LongitudeVehicle longitudeOn change
AccelerationVehicle accelerationOn change

API access – write

Name: Car rental
Purpose:Car rental and carsharing fleet owners
Data pointDescriptionUpdate frequency
OdometerThe mileage in miles or metersTrip end
LatitudeVehicle latitudeOn change
LongitudeVehicle longitudeOn change
Fuel levelFuel level percentage (State of Charge for EVs)On change
Door locksLock state for each doorOn change
Door positionsPosition state for each doorOn change
Lock/UnlockLocking and unlocking of the doorsWrite
Theft alarmTheft alarm stateOn change
Arm/unarmArming and unarming of the theft alarmWrite
Window positionsPosition state for each windowOn change