Laura uses information about the driver's history and driving habits to determine factors such as speed, acceleration, and location. Laura is using

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Multiple Choice

Laura uses information about the driver's history and driving habits to determine factors such as speed, acceleration, and location. Laura is using

Explanation:
Telematics involves collecting and transmitting data from a vehicle about how it’s operated and where it’s going, to analyze driving behavior and risk. By tracking speed, acceleration, braking, location, and timing, it provides a real picture of how a vehicle is driven. Laura’s use of information about the driver’s history and driving habits to determine factors like speed, acceleration, and location fits telematics because the data come from the vehicle and driver behavior, not from a general internet connection, a blockchain ledger, or purely a statistical modeling approach. The other options don’t fit as neatly: IoT is a broader category of connected devices, predictive models are the analytical tools used after data collection, and blockchain is a distributed ledger technology unrelated to this driving-data context.

Telematics involves collecting and transmitting data from a vehicle about how it’s operated and where it’s going, to analyze driving behavior and risk. By tracking speed, acceleration, braking, location, and timing, it provides a real picture of how a vehicle is driven. Laura’s use of information about the driver’s history and driving habits to determine factors like speed, acceleration, and location fits telematics because the data come from the vehicle and driver behavior, not from a general internet connection, a blockchain ledger, or purely a statistical modeling approach. The other options don’t fit as neatly: IoT is a broader category of connected devices, predictive models are the analytical tools used after data collection, and blockchain is a distributed ledger technology unrelated to this driving-data context.

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