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The car as an ambient sensing platform

In recent years, cars have evolved from purely mechanical to veritable cyber-physical systems that generate large amounts of real-time data. This data is instrumental to the proper working of the vehicle itself, but makes them amenable to a multitude of other uses. For instance, GPS information has recently been used for a large number of mobility studies in the academic community [1]–[5], as well as to feed traffic apps such as Google TrafficTM and WazeTM. This use of vehicle data is already having a profound impact in science, industry, economy, and society at large. Now, imagine than instead of accessing one single source of vehicle-generated data (GPS), one can access the entire wealth of data exchanged on the Controller Area Network (CAN) bus in near real-time – amounting to over 4,000 signals sampled at high frequency, corresponding to a few Gigabytes of data per hour. What would be the implications, opportunities, and challenges sparked by this transition?
Proceedings of the IEEE, 2016

Autori esterni: carlo ratti (MIT), Emanuele Massaro (MIT), Chaewon Ahn (MIT), Markus Huber (Volkswagen ERL), Martin Roehder (Volkswagen ERL), Rainer Stahlmann (Audi AG), Andreas Lamprecht (Audi AG)
Autori IIT:

Tipo: Contributo in rivista ISI
Area di disciplina: Information Technology and Communication Systems

File: ProcIEEEPointOfViewMinorRevision.pdf

Attività: Algoritmica per reti wireless