@inproceedings{f81f0fdd6b6e4834b74bef0757ce5030,
title = "Social drive: A crowdsourcing-based vehicular social networking system for green transportation",
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.",
keywords = "cloud, database, mobile application, vehicular social networks",
author = "Xiping Hu and Leung, {Victor C.M.} and Li, {Kevin Garmen} and Edmond Kong and Haochen Zhang and Surendrakumar, {Nambiar Shruti} and Peyman TalebiFard",
year = "2013",
doi = "10.1145/2512921.2512924",
language = "English",
isbn = "9781450323581",
series = "DIVANet 2013 - Proceedings of the 3rd ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, Co-located with ACM MSWiM 2013",
pages = "85--92",
booktitle = "DIVANet 2013 - Proceedings of the 3rd ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, Co-located with ACM MSWiM 2013",
note = "3rd ACM Int. Symp. on Design and Analysis of Intelligent Vehicular Networks and Applications, DIVANet 2013, Held in Conjunction with the 16th ACM Int. Conf. on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWiM 2013 ; Conference date: 03-11-2013 Through 08-11-2013",
}