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It should be kept in mind that different services have different data needs, and might need an expanded dataset in order to function. Still, sorting data points into different bundles makes the data use cases clearer compared to listing individual data points. Apart from these first data bundles, we should also consider different categories based on data sensitivity, privacy and regional laws.

Personalised vehicle data – read-only

NamePay-as-you-Drive (PAYD)
Purpose:Insurance services based on the vehicle mileage
Data pointDescriptionUpdate frequency
OdometerThe mileage in miles or meters24h

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NamePay-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

NameCar 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