Abstract—The paper proposes an approach and its
supporting technologies for building a socio-cyberphysical
system aimed at intelligent driver support. The approach is
based on usage of such technologies as smart space for
communication possibilities, behavior analysis for personalized
support and human decision foreseeing, and fuzzy constraint
satisfaction for treating uncertainties arising in stochastic
systems such as traffic. The application of the approach is
illustrated via a parking spot searching case study.
Index Terms—Socio-cyberphysical system, parking support,
behavior analysis, uncertainty.
A. Smirnov and N. Shilov are with SPIIRAS and ITMO University,
St.Petersburg, Russia (e-mail: smir@iias.spb.su, nick@iias.spb.su).
O. Gusikhin is with Ford Motor Company, Dearborn, Michigan, USA
(e-mail: ogusikhi@ford.com).
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Cite: Alexander Smirnov, Nikolay Shilov, and Oleg Gusikhin, "Socio-Cyberphysical System for Parking Support," International Journal of Future Computer and Communication vol. 5, no. 1, pp. 27-32, 2016.
