ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) DATA
HUMAN-MACHINE-INTERFACE
(HMI) DATA
TECHNICAL SENSOR DATA
INFOTAINMENT DATA
INFRASTRUCTURE DATA
DIAGNOSTIC DATA
Input from ADAS systems and sensors, such as laser-based radar and vehicle- acceleration and tire-pressure sensors
Data collection from traditional driver inputs, such as steering wheel movements and braking
Several hundred sensors deployed in every modern vehicle, number still increasing
Driving profiles developed from GPS and SatNav systems, assuming customer approval
Charging of electric vehicles
On-board analytical systems that track such things as error codes and wear-and-tear
Source: Oliver Wyman analysis
Incidents involving ADAS systems
Increasing number of new human-machine interfaces, such as eye movement and breathing patterns to detect drowsiness
No central on-board or cloud storage of sensor data yet, meaning much is lost
Customer use of functions and services available
Data from connected home, parking, and other parts of the connected mobility ecosystem
Mobility usage surveys and other public data sources
Repair record for each vehicle
Feedback loop from failures and repairs, including spare parts used