Development of an automotive data acquisition platform for analysis of driving behavior

•A low-cost data acquisition platform prototype for automotive telemetry applications was developed.•The system integrates measurements from accelerometers and OBD was proposed.•The main automotive parameters able to monitor driver behavior have been identified.•Suitable indexes to evaluate the driv...

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Bibliographic Details
Published in:Measurement : journal of the International Measurement Confederation 2016-11, Vol.93, p.278-287
Main Authors: Andria, G., Attivissimo, F., Di Nisio, A., Lanzolla, A.M.L., Pellegrino, A.
Format: Article
Language:English
Subjects:
Automation
Automobile driving
Automobile industry
Automotive control
Braking
Car instrumentation
Driver behavior
Driving
Driving style
Fault detection
Fleet management
Inertial sensing devices
Measurement
Parameter identification
Performance indices
Telemetry
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Summary:•A low-cost data acquisition platform prototype for automotive telemetry applications was developed.•The system integrates measurements from accelerometers and OBD was proposed.•The main automotive parameters able to monitor driver behavior have been identified.•Suitable indexes to evaluate the driving performance have been defined.•A real driving session was prosed to classify two representative driving style profiles. The main purpose of this work is to develop a low-cost data acquisition platform prototype for automotive telemetry applications such as driving style analysis, fleet management and fault detection. Measurement data, gathered from On-Board Diagnostics (OBD) sensors and an Inertial Measurement Unit (IMU), are logged on the onboard device for remote backup. An accurate analysis of the collected data has been performed to identify the main parameters able to monitor driver behavior and to define suitable indexes to evaluate the driving performance. Particular attention has been paid to the analysis of vehicle parameters during braking and gear shifting in order to classify different attitudes and generate driver profiles and trends. Understanding drivers’ characteristic behavior can contribute significantly to road safety, to define insurance premium, to engage user in saving fuel and money and to correlate faults of the car with the driving style.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2016.07.035