Increasing Privacy and Trust in Cooperative Social Platforms for Vehicular Applications

F. Martín-Fernández, P. Caballero-Gil, C. Caballero-Gil, J. Molina-Gil


New research challenges have arisen from the increasing number of vehicles and consequent permanent traffic jams in urban environments. The main problem is that just one passenger occupies most cars, so a natural solution should involve a more optimized use of resources, which may be carried out through carpooling. However, carpooling is not seen as an acceptable solution by many users mainly due to the lack of trust in strangers. Nowadays, mobile technology can be combined with social media to create a trust-based system that allows sharing cars in a comfortable, fast and safe way, taking advantage of the comfort of travelling in a car. The main aim of this work is the design of an improvement for existing carpooling systems that introduces a security layer to provide privacy and trust through the measurement of user reputation. The proposal has been implemented as an Android application whose results are promising.


  1. A. J. Fougeres, P. Canalda, T. Ecarot, A. Samaali, L. Guglielmetti, A Push Service for Carpooling. IEEE International Conference on Green Computing and Communications, pp. 685- 691, 2012.
  2. A. Oram, Peer-to-peer: harnessing the benefits of a disruptive technology, O'Reilly, 2001.
  3. A. Roberts, H. Pimentel, S. Karayevm, CabFriendly: A Cloud-based Mobile Web App. Amazon's EC2, 2011.
  4. Amovens:, January 2014.
  5. Blablacar:, January 2014.
  6. C. Bonhomme, G. Arnould, D. Khadraoui, Dynamic carpooling mobility services based on secure multi-agent platform, IEEE International Conference on Global Information Infrastructure and Networking Symposium, pp. 1-6, 2012.
  7. Carpooling:, January 2014.
  8., January 2014.
  9. D. J. Watts, S. H. Strogatz, Collective dynamics of small-world networks, Nature, v. 393 pp. 440-442, 1998.
  10. E. Y. Daraghmi, S. M. Yuan, We are so close, less than 4 degrees separating you and me!. Computers in Human Behavior, pp. 273-285, 2014.
  11. F.E. Prettenthaler, K.W. Steininger, From ownership to service use lifestyle: the potential of car sharing, Ecological Economics 28, pp. 443-453, 1999.
  12. J. Ferreira, P. Trigo, P. Filipe, Collaborative Car Pooling System, International Conference on Sustainable Urban Transport and Environment, 2009.
  13. J. R. Douceu, The Sybil Attack, Electronic Proceedings for the 1st International Workshop on Peer-to-Peer Systems, March 2002.
  14. J. Ugander, B. Karrer, L. Backstrom, C. Marlow, The Anatomy of the Facebook Social Graph. Cornell University Library, November 2011.
  15. K. Steininger, C. Vogl, R. Zettr, The size of the market segment and revealed change in mobility behavior. Transport Policy 3, pp. 177-185, 1996.
  16. L. Backstrom, P. Boldi, M. Rosa, J. Ugander, S. Vigna, Four Degrees of Separation, Cornell University Library, November 2011.
  17. M. Collotta, G. Pau, V.M. Salerno, G. Scata, A novel trust based algorithm for carpooling transportation systems. IEEE International Conference on Energy Conference and Exhibition, pp. 1077-1082, 2012.
  18. MongoDB:, January 2014.
  19. N. T. Fellows, D. E. Pitfield, An economic and operational evaluation of urban car-sharing, Transportation Research Part D: Transport and Environment 5, pp. 1-10, 2000.
  20. N.V. Pukhovskiy, R.E. Lepshokov, Real-Time Carpooling System. International Conference on Collaboration Technologies and Systems, pp. 648-649, 2011.
  21. R. Katzev, Car Sharing: A New Approach to Urban Transportation Problems. Analyses of Social Issues and Public Policy 3, pp. 65-86, 2003.
  22. R. Teal, Carpooling: Who, how and why, Transportation Research, v. 21A pp. 203-214, 1987.
  23. R. W. Calvo, F. De Luigi, P. Haastrup, V. Maniezzoi, A distributed geographic system for the daily car pooling problem, Computers and Operations Research 31, v. 13, 2004.
  24. S. Cho, A. Yasar, L. Knapen, T. Bellemans, D. Janssens, G. Wets, A Conceptual Design of an Agent-based Interaction Model for the Carpooling Application. The 1st International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications, pp. 801-807, 2011.
  25. T. Talele, G. Pandi, P. Deshmukh, Dynamic Ridesharing Using Social Media, International Journal on AdHoc Networking Systems 2, pp. 29, 2012.
  26. Transport For London:, January 2014.
  27. U. Kuter, J. Golbeck, SUNNY: A New Algorithm for Trust Inference in Social Networks Using Probabilistic Confidence Models. Proceedings of the Conference on Artificial intelligence AAAI, pp. 1377-1382, 2007.
  28. Zimride:, January 2014.

Paper Citation

in Harvard Style

Martín-Fernández F., Caballero-Gil P., Caballero-Gil C. and Molina-Gil J. (2014). Increasing Privacy and Trust in Cooperative Social Platforms for Vehicular Applications . In Proceedings of the 11th International Workshop on Security in Information Systems - Volume 1: WOSIS, (ICEIS 2014) ISBN 978-989-758-031-4, pages 3-13. DOI: 10.5220/0004976800030013

in Bibtex Style

author={F. Martín-Fernández and P. Caballero-Gil and C. Caballero-Gil and J. Molina-Gil},
title={Increasing Privacy and Trust in Cooperative Social Platforms for Vehicular Applications},
booktitle={Proceedings of the 11th International Workshop on Security in Information Systems - Volume 1: WOSIS, (ICEIS 2014)},

in EndNote Style

JO - Proceedings of the 11th International Workshop on Security in Information Systems - Volume 1: WOSIS, (ICEIS 2014)
TI - Increasing Privacy and Trust in Cooperative Social Platforms for Vehicular Applications
SN - 978-989-758-031-4
AU - Martín-Fernández F.
AU - Caballero-Gil P.
AU - Caballero-Gil C.
AU - Molina-Gil J.
PY - 2014
SP - 3
EP - 13
DO - 10.5220/0004976800030013