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Characterizing the Driver DNA through CAN bus data analysis

People’s driving behavior is influenced by different human and environmental factors, and several attempts to characterize it have been proposed. Nowadays, the standardization of the CAN bus and the increase of the electronic components units in modern cars offer a large availability of sensors data that make possible a more reliable and direct characterization of driving styles. In this work, we propose the concept of “Driving DNA” as a way of describing the complexity of driving behavior through a set of individual and easy-to-measure quantities. These quantities are responsible for some aspects of the driver’s behavior, just as – in the metaphor – genes are responsible for the tracts of an individual. The concept has been tested on a dataset collected on the driving of more than 2000 trips by 53 people, in a wide scenario of road types and traffic conditions. The Driving DNAs have been calculated for each person, and a graphical visualization of their comparison is provided.

ACM CarSys, Utah, 2017

Autori esterni: Umberto Fugilando (Massachusetts Institute of Technology), Sebastiano Milardo (Universita' di Catania), Kacem Adiba (Volkswagen ERL)
Autori IIT:

Tipo: Contributo in atti di convegno
Area di disciplina: Information Technology and Communication Systems

File: Driving_DNA.pdf

Attività: Wireless Network Security
Algoritmica per reti wireless