Table of Contents Author Guidelines Submit a Manuscript
Mobile Information Systems
Volume 2016 (2016), Article ID 2821680, 14 pages
http://dx.doi.org/10.1155/2016/2821680
Research Article

A Service-Oriented Approach to Crowdsensing for Accessible Smart Mobility Scenarios

1Department of Computer Science and Engineering, University of Bologna, Bologna, Italy
2Department of Electrical and Information Engineering, University of Bologna, Bologna, Italy

Received 20 May 2016; Accepted 1 September 2016

Academic Editor: Enrico Natalizio

Copyright © 2016 Silvia Mirri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Giffinger and H. Gudrun, “Smart cities ranking: an effective instrument for the positioning of the cities?” ACE: Architecture, City and Environment, vol. 4, no. 12, pp. 7–26, 2010. View at Google Scholar
  2. WHO, Urban health: major opportunities for improving global health outcomes, despite persistent health inequities, http://www.who.int/mediacentre/news/releases/2016/urban-health-report/en/
  3. H. Chourabi, T. Nam, S. Walker et al., “Understanding smart cities: an integrative framework,” in Proceedings of the 45th IEEE Hawaii International Conference on System Sciences (HICSS '12), pp. 2289–2297, Maui, Hawaii, USA, January 2012. View at Publisher · View at Google Scholar · View at Scopus
  4. Á. Petkovics, V. Simon, I. Gódor, and B. Böröcz, “Crowdsensing solutions in smart cities: introducing a horizontal architecture,” in Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia (MoMM '15), pp. 33–37, ACM, 2015. View at Publisher · View at Google Scholar
  5. H. Kukka, J. Ylipulli, A. Luusua, and A. K. Dey, “Urban computing in theory and practice: towards a transdisciplinary approach,” in Proceedings of the 8th Nordic Conference on Human-Computer Interaction (NordiCHI '14), pp. 658–667, ACM, Helsinki, Finland, October 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. K. P. Sami Pippuri, Sampo Hietanen. Maas finland, http://maas.fi/
  7. S. Newman, Building Microservices, O'Reilly Media, Farnham, UK, 2015.
  8. V. Kostakos, T. Ojala, and T. Juntunen, “Traffic in the smart city: exploring city-wide sensing for traffic control center augmentation,” IEEE Internet Computing, vol. 17, no. 6, pp. 22–29, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. S. Patidar, D. Rane, and P. Jain, “A survey paper on cloud computing,” in Proceedings of the 2nd International Conference on Advanced Computing and Communication Technologies (ACCT '12), pp. 394–398, January 2012. View at Publisher · View at Google Scholar · View at Scopus
  10. P. Banerjee, R. Friedrich, C. Bash et al., “Everything as a service: powering the new information economy,” Computer, vol. 44, no. 3, Article ID 5719575, pp. 36–43, 2011. View at Publisher · View at Google Scholar · View at Scopus
  11. M. Zhou, R. Zhang, D. Zeng, and W. Qian, “Services in the cloud computing era: a survey,” in Proceedings of the 4th International Universal Communication Symposium (IUCS '10), pp. 40–46, IEEE, Beijing, China, October 2010. View at Publisher · View at Google Scholar · View at Scopus
  12. C. Perera, A. Zaslavsky, P. Christen, and D. Georgakopoulos, “Sensing as a service model for smart cities supported by internet of things,” European Transactions on Telecommunications, vol. 25, no. 1, pp. 81–93, 2014. View at Publisher · View at Google Scholar · View at Scopus
  13. H. Sundmaeker, P. Guillemin, P. Friess, and S. Woelfflé, “Vision and challenges for realising the Internet of Things,” EUR-OP, vol. 20, no. 10, 2010. View at Google Scholar
  14. X. Sheng, J. Tang, X. Xiao, and G. Xue, “Sensing as a service: challenges, solutions and future directions,” IEEE Sensors Journal, vol. 13, no. 10, pp. 3733–3741, 2013. View at Publisher · View at Google Scholar · View at Scopus
  15. X. Sheng, X. Xiao, J. Tang, and G. Xue, “Sensing as a service: a cloud computing system for mobile phone sensing,” in Proceedings of the 11th IEEE SENSORS 2012 Conference, pp. 1–4, IEEE, Taipei, Taiwan, 2012.
  16. A. Melis, S. Mirri, C. Prandi, M. Prandini, P. Salomoni, and F. Callegati, “Crowdsensing for smart mobility through a serviceoriented architecture,” in Proceedings of the 2nd IEEE International Smart Cities Conference, 2016.
  17. N. D. Lane, E. Miluzzo, H. Lu, D. Peebles, T. Choudhury, and A. T. Campbell, “A survey of mobile phone sensing,” IEEE Communications Magazine, vol. 48, no. 9, pp. 140–150, 2010. View at Publisher · View at Google Scholar · View at Scopus
  18. G. Cardone, L. Foschini, P. Bellavista et al., “Fostering participaction in smart cities: a geo-social crowdsensing platform,” IEEE Communications Magazine, vol. 51, no. 6, pp. 112–119, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. R. K. Ganti, F. Ye, and H. Lei, “Mobile crowdsensing: current state and future challenges,” IEEE Communications Magazine, vol. 49, no. 11, pp. 32–39, 2011. View at Publisher · View at Google Scholar · View at Scopus
  20. M. Talasila, R. Curtmola, and C. Borcea, “Improving location reliability in crowd sensed data with minimal efforts,” in Proceedings of the 6th Joint IFIP Wireless and Mobile Networking Conference (WMNC '13), pp. 1–8, IEEE, Dubai, UAE, April 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. A. Vemula, N. Patil, V. Paharia et al., “Improving public transportation through crowd-sourcing,” in Proceedings of the 7th International Conference on Communication Systems and Networks (COMSNETS '15), pp. 1–6, Bangalore, India, January 2015. View at Publisher · View at Google Scholar · View at Scopus
  22. Á. Petkovics and K. Farkas, “Efficient event detection in public transport tracking,” in Proceedings of the International Conference on Telecommunications and Multimedia (TEMU '14), pp. 74–79, July 2014. View at Publisher · View at Google Scholar · View at Scopus
  23. Waze, crowdsensing applicaiton, http://www.waze.com/
  24. A. Sassi and F. Zambonelli, “Coordination infrastructures for future smart social mobility services,” IEEE Intelligent Systems, vol. 29, no. 5, pp. 78–82, 2014. View at Publisher · View at Google Scholar · View at Scopus
  25. J. Goncalves, S. Hosio, J. Rogstadius, E. Karapanos, and V. Kostakos, “Motivating participation and improving quality of contribution in ubiquitous crowdsourcing,” Computer Networks, vol. 90, pp. 34–48, 2015. View at Publisher · View at Google Scholar · View at Scopus
  26. P. Salomoni, C. Prandi, M. Roccetti, V. Nisi, and N. J. Nunes, “Crowdsourcing urban accessibility: some preliminary experiences with results,” in Proceedings of the the 11th Biannual Conference on Italian SIGCHI Chapter, pp. 130–133, ACM, Rome, Italy, September 2015. View at Publisher · View at Google Scholar
  27. C. Prandi, V. Nisi, P. Salomoni, and N. J. Nunes, “From gamification to pervasive game in mapping urban accessibility,” in Proceedings of the the 11th Biannual Conference, pp. 126–129, Rome, Italy, September 2015. View at Publisher · View at Google Scholar
  28. C. Prandi, M. Roccetti, P. Salomoni, V. Nisi, and N. J. Nunes, “Fighting exclusion: a multimedia mobile app with zombies and maps as a medium for civic engagement and design,” Multimedia Tools and Applications, 2016. View at Publisher · View at Google Scholar
  29. F. Zambonelli, “Pervasive urban crowdsourcing: visions and challenges,” in Proceedings of the 9th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops '11), pp. 578–583, IEEE, Seattle, Wash, USA, March 2011. View at Publisher · View at Google Scholar · View at Scopus
  30. N. Bicocchi, A. Cecaj, D. Fontana, M. Mamei, A. Sassi, and F. Zambonelli, “Collective awareness for human-ICT collaboration in smart cities,” in Proceedings of the IEEE 22nd International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE '13), pp. 3–8, Hammamet, Tunisia, June 2013. View at Publisher · View at Google Scholar · View at Scopus
  31. S. Mirri, L. A. Muratori, and P. Salomoni, “Monitoring accessibility: large scale evaluations at a Geo-political level,” in Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '11), pp. 163–170, ACM, October 2011. View at Publisher · View at Google Scholar · View at Scopus
  32. C. Prandi, P. Salomoni, and S. Mirri, “mPASS: integrating people sensing and crowdsourcing to map urban accessibility,” in Proceedings of the IEEE 11th Consumer Communications and Networking Conference (CCNC '14), pp. 591–595, Las Vegas, Nev, USA, January 2014. View at Publisher · View at Google Scholar
  33. S. Mirri, C. Prandi, P. Salomoni, F. Callegati, and A. Campi, “On combining crowdsourcing, sensing and open data for an accessible smart city,” in Proceedings of the 8th International Conference on Next Generation Mobile Apps, Services and Technologies (NGMAST '14), pp. 294–299, IEEE, Oxford, UK, September 2014. View at Publisher · View at Google Scholar · View at Scopus
  34. S. Choi, R. Lemay, and J.-H. Youn, “On-board processing of acceleration data for real-time activity classification,” in Proceedings of the IEEE 10th Consumer Communications and Networking Conference (CCNC '13), pp. 68–73, IEEE, January 2013. View at Publisher · View at Google Scholar · View at Scopus
  35. A. Anjum and M. U. Ilyas, “Activity recognition using smartphone sensors,” in Proceedings of the IEEE 10th Consumer Communications and Networking Conference (CCNC '13), pp. 914–919, IEEE, Las Vegas, Nev, USA, January 2013. View at Publisher · View at Google Scholar · View at Scopus
  36. A. Bujari, B. Licar, and C. E. Palazzi, “Movement pattern recognition through smartphone's accelerometer,” in Proceedings of the IEEE Consumer Communications and Networking Conference (CCNC '12), pp. 502–506, January 2012. View at Publisher · View at Google Scholar · View at Scopus
  37. M. B. Kjærgaard, M. Wirz, D. Roggen, and G. Tröster, “Detecting pedestrian flocks by fusion of multi-modal sensors in mobile phones,” in Proceedings of the ACM Conference on Ubiquitous Computing (UbiComp '12), pp. 240–249, 2012. View at Publisher · View at Google Scholar
  38. Y. Iwasawa, K. Nagamine, I. E. Yairi, and Y. Matsuo, “Toward an automatic road accessibility information collecting and sharing based on human behavior sensing technologies of wheelchair users,” Procedia Computer Science, vol. 63, pp. 74–81, 2015. View at Publisher · View at Google Scholar
  39. Y. Iwasawa, K. Nagamine, Y. Matsuo, and I. Eguchi Yairi, “Road sensing: personal sensing and machine learning for development of large scale accessibility map,” in Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility, pp. 335–336, ACM, Lisbon, Portugal, October 2015. View at Publisher · View at Google Scholar
  40. G. Merlino, S. Arkoulis, S. Distefano, C. Papagianni, A. Puliafito, and S. Papavassiliou, “Mobile crowdsensing as a service: a platform for applications on top of sensing clouds,” Future Generation Computer Systems, vol. 56, pp. 623–639, 2016. View at Publisher · View at Google Scholar · View at Scopus
  41. F. Callegati, A. Campi, A. Melis, M. Prandini, and B. Zevenbergen, “Privacy-preserving design of data processing systems in the public transport context,” Pacific Asia Journal of the Association for Information Systems, vol. 7, no. 4, 2015. View at Google Scholar
  42. A. Melis, M. Prandini, L. Sartori, and F. Callegati, “Public transportation, IoT, trust and urban habits,” in Internet Science, F. Bagnoli, A. Satsiou, I. Stavrakakis et al., Eds., vol. 9934 of Lecture Notes in Computer Science, pp. 318–325, Springer, Berlin, Germany, 2016. View at Publisher · View at Google Scholar
  43. M. Roccetti, S. Ferretti, C. E. Palazzi, P. Salomoni, and M. Furini, “Riding the web evolution: from egoism to altruism,” in Proceedings of the 5th IEEE Consumer Communications and Networking Conference (CCNC '08), pp. 1123–1127, IEEE, Las Vegas, Nev, USA, January 2008. View at Publisher · View at Google Scholar · View at Scopus
  44. S. Mirri, C. Prandi, and P. Salomoni, “A context-aware system for personalized and accessible pedestrian paths,” in Proceedings of the International Conference on High Performance Computing and Simulation (HPCS '14), pp. 833–840, July 2014. View at Publisher · View at Google Scholar · View at Scopus
  45. Google, “General Transit Feed Specification,” https://developers.google.com/transit/gtfs/reference
  46. Y. L. Simmhan, B. Plale, and D. Gannon, A Survey of Data Provenance Techniques, vol. 47405, Computer Science Department, Indiana University, Bloomington, Ind, USA, 2005.
  47. K. Xu, H. Xiong, C. Wu, D. Stefan, and D. Yao, “Data-provenance verification for secure hosts,” IEEE Transactions on Dependable and Secure Computing, vol. 9, no. 2, pp. 173–183, 2012. View at Publisher · View at Google Scholar · View at Scopus
  48. R. C. Merkle, “A digital signature based on a conventional encryption function,” in Advances in Cryptology—CRYPTO '87, vol. 293 of Lecture Notes in Computer Science, pp. 369–378, Springer, Berlin, Germany, 2000. View at Publisher · View at Google Scholar
  49. C. Shahabi, “Towards a generic framework for trustworthy spatial crowdsourcing,” in Proceedings of the 12th International ACM Workshop on Data Engineering for Wireless and Mobile Acess (MobiDE '13), pp. 1–4, ACM, New York, NY, USA, June 2013. View at Publisher · View at Google Scholar · View at Scopus
  50. P. G. Ipeirotis, F. Provost, and J. Wang, “Quality management on amazon mechanical turk,” in Proceedings of the ACM SIGKDD Workshop on Human Computation (HCOMP '10), pp. 64–67, ACM, New York, NY, USA, 2010. View at Publisher · View at Google Scholar
  51. P. Gilbert, L. P. Cox, J. Jung, and D. Wetherall, “Toward trustworthy mobile sensing,” in Proceedings of the 11th Workshop on Mobile Computing Systems and Applications (HotMobile '10), pp. 31–36, Annapolis, Md, USA,, February 2010. View at Publisher · View at Google Scholar · View at Scopus
  52. C. Prandi, S. Ferretti, S. Mirri, and P. Salomoni, “Trustworthiness in crowd- sensed and sourced georeferenced data,” in Proceedings of the 13th IEEE International Conference on Pervasive Computing and Communication (PerCom '15), pp. 402–407, March 2015. View at Publisher · View at Google Scholar · View at Scopus
  53. T. Erl, Service-Oriented Architecture: Concepts, Technology, and Design, Prentice Hall PTR, River Edge, NJ, USA, 2005.
  54. F. Montesi, C. Guidi, and G. Zavattaro, “Composing services with JOLIE,” in Proceedings of the 5th IEEE European Conference on Web Services (ECOWS '07), pp. 13–22, Halle, Germany, November 2007. View at Publisher · View at Google Scholar · View at Scopus
  55. N. Taylor and K. Cheverst, “Supporting community awareness with interactive displays,” Computer, vol. 45, no. 5, Article ID 6171144, pp. 26–32, 2012. View at Publisher · View at Google Scholar · View at Scopus
  56. S. Mirri, C. Prandi, and P. Salomoni, “Personalizing pedestrian accessible way-finding with mPASS,” in Proceedings of the 13th IEEE Annual Consumer Communications & Networking Conference (CCNC '16), pp. 1119–1124, Las Vegas, Nev, USA, January 2016. View at Publisher · View at Google Scholar
  57. M. L. Tolerico, D. Ding, R. A. Cooper et al., “Assessing mobility characteristics and activity levels of manual wheelchair users,” Journal of Rehabilitation Research and Development, vol. 44, no. 4, pp. 561–571, 2007. View at Publisher · View at Google Scholar · View at Scopus