Social drive: a crowdsourcing-based vehicular social networking system for green transportation

Authors:
Xiping Hu;Victor C.M. Leung;Kevin Garmen Li;Edmond Kong;Haochen Zhang;Nambiar Shruti Surendrakumar;Peyman TalebiFard
Affiliations:
Dept. of Electrical & Computer Engineering, The University of British Columbia, Vancouver, Canada;Dept. of Electrical & Computer Engineering, The University of British Columbia, Vancouver, Canada;Dept. of Electrical & Computer Engineering, The University of British Columbia, Vancouver, Canada;Dept. of Electrical & Computer Engineering, The University of British Columbia, Vancouver, Canada;Dept. of Electrical & Computer Engineering, The University of British Columbia, Vancouver, Canada;Dept. of Computer Science, Birla Institute of Technology & Science-Pilani, Dubai;Dept. of Electrical & Computer Engineering, The University of British Columbia, Vancouver, Canada
Venue:
Proceedings of the third ACM international symposium on Design and analysis of intelligent vehicular networks and applications
Year:
2013

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Abstract

This paper presents Social Drive, a novel crowdsourcing-based vehicular social networking (VSN) system for green transportation. Social Drive integrates the standard vehicular On-Board Diagnostics (OBD) module, leverages the advantages of cloud computing and popular social networks, and incorporates a novel rating mechanism about the fuel economy of drivers. Based on these, Social Drive provides a user-friendly mobile application on smartphones targeting drivers, which enables a seamless and economic solution that promote drivers' awareness of their driving behaviors regarding fuel economy of specific trips. Our practical experiments have demonstrated that Social Drive works efficiently with low battery consumption and low networking overhead on popular mobile devices.