Real-time smart parking systems integration in distributed ITS for smart cities
Alam M., Moroni D., Pieri G., Tampucci M., Gomes M., Fonseca J., Ferreira J., Leone G. R.
Computer vision Smart cities Article Subject Strategy and Management [INFO.INFO-ES]Computer Science [cs]/Embedded Systems [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] Intelligent transportation systems Embedded systems Sensors networks Computer Science Applications Traffic management Automotive Engineering Smart parking Embedded Systems Mechanical Engineering Economics and Econometrics Intelligent Transportation System
Intelligent Transportation Systems (ITS) have evolved as a key research topic in recent years, revolutionizing the overall traffic and travel experience by providing a set of advanced services and applications. These data-driven services contribute to mitigate major problems arising from the ever growing need of transport in our daily lives. Despite the progress, there is still need for an enhanced and distributed solution that can exploit the data from the available systems and provide an appropriate and real-time reaction on transportation systems. Therefore, in this paper, we present a new architecture where the intelligence is distributed and the decisions are decentralized. The proposed architecture is scalable since the incremental addition of new peripheral subsystems is supported by the introduction of gateways which requires no reengineering of the communication infrastructure. The proposed architecture is deployed to tackle the problem of traffic management inefficiency in urban areas, where traffic load is substantially increased, by vehicles moving around unnecessarily, to find a free parking space. This can be significantly reduced through the availability and diffusion of local information regarding vacant parking slots to drivers in a given area. Two types of parking systems, magnetic and vision sensor based, have been introduced, deployed, and tested in different scenarios. The effectiveness of the proposed architecture, together with the proposed algorithms, is assessed in field trials.
Source: Journal of advanced transportation (Online) 2018 (2018). doi:10.1155/2018/1485652
Publisher: Wiley-Blackwell, Oxford , Regno Unito
[2] US. Data and Statistics - Bureau of Transportation Statistics, URL: https://www.rita.dot.gov/bts/data and statistics/index .html, Accessed on: 15 May 2017.
[3] M. Magrini, D. Moroni, G. Pieri, and O. Salvetti, “Smart cameras for ITS in urban environment,” Intelligent Transport Systems: Technologies and Applications, pp. 167-188, 2015.
[4] SIEMENS, Future of Infrastructure: The Smart Way to Park, last visited: June 2016.
[5] M. Kodransky and G. Hermann, Europe's Parking U-Turn: From Accommodation to Regulation, Institute for Transportation and Development Policy, 2011, https://www.itdp.org/wp-content/ uploads/2014/07/Europes Parking U-Turn ITDP.pdf, Accessed on: 15 September, 2017.
[6] V. W. S. Tang, Y. Zheng, and J. Cao, “An intelligent car park management system based on wireless sensor networks,” in Proceedings of the SPCA 2006: 1st International Symposium on Pervasive Computing and Applications, pp. 65-70, August 2006.
[7] T. Lin, H. Rivano, and F. Le Mouel, “A survey of smart parking solutions,” IEEE Transactions on Intelligent Transportation Systems, vol. 18, no. 12, pp. 3229-3253, 2017.
[8] L. Ruizhi, R. Cristian, B. Peter, O. Shumao, and C. Liping, “Crowdsourcing on-street parking space detection,” https:// arxiv.org/abs/1603.00441, 2016.
[9] J. Vera-Go´mez, A. Quesada-Arencibia, C. Garc´ıa, R. Sua´rez Moreno, and F. Guerra Herna´ndez, “An Intelligent Parking Management System for Urban Areas,” Sensors, vol. 16, no. 6, p. 931, 2016.
[10] G. Amato, F. Carrara, F. Falchi, C. Gennaro, and C. Vairo, “Car parking occupancy detection using smart camera networks and Deep Learning,” in Proceedings of the 2016 IEEE Symposium on Computers and Communication, ISCC 2016, pp. 1212-1217, July 2016.
[11] E. C. Neto, E. S. Reboucas, J. L. De Moraes, S. L. Gomes, and P. P. R. Filho, “Development control parking access using techniques digital image processing and applied computational intelligence,” IEEE Latin America Transactions, vol. 13, no. 1, pp. 272-276, 2015.
[12] G. Maria, E. Baccaglini, D. Brevi, M. Gavelli, and R. Scopigno, “A drone-based image processing system for car detection in a smart transport infrastructure,” in Proceedings of the 18th Mediterranean Electrotechnical Conference, MELECON 2016, pp. 1-5, April 2016.
[13] Q. Wu, C. Huang, S.-Y. Wang, W.-C. Chiu, and T. Chen, “Robust parking space detection considering inter-space correlation,” in Proceedings of the IEEE International Conference on Multimedia and Expo, ICME 2007, pp. 659-662, July 2007.
[14] S. Funck, N. Mo¨hler, and W. Oertel, “Determining car-park occupancy from single images,” in Proceedings of the 2004 IEEE Intelligent Vehicles Symposium, pp. 325-328, June 2004.
[15] C.-C. Huang, Y.-S. Dai, and S.-J. Wang, “A surface-based vacant space detection for an intelligent parking lot,” in Proceedings of the 2012 12th International Conference on ITS Telecommunications, ITST 2012, pp. 284-288, IEEE, November 2012.
[16] C. Ga´lvez del Postigo, J. Torres, and J. M. Mene´ndez, “Vacant parking area estimation through background subtraction and transience map analysis,” IET Intelligent Transport Systems, vol. 9, no. 9, pp. 835-841, 2015.
[17] Intelligent Cooperative Sensing for Improved trafic eficiency, http://www.ict-icsi.eu/.
[18] M. Magrini, D. Moroni, G. Palazzese, G. Pieri, G. Leone, and O. Salvetti, “Computer Vision on Embedded Sensors for Trafic Flow Monitoring,” in Proceedings of the 18th IEEE International Conference on Intelligent Transportation Systems, ITSC 2015, pp. 161-166, September 2015.
[19] Z. Shelby, “Embedded web services,” IEEE Wireless Communications Magazine, vol. 17, no. 6, pp. 52-57, 2010.
[20] Z. Shelby and C. Bormann, 6LoWPAN: eTh wireless embedded Internet, vol. 43, John Wiley & Sons, 2011.
[21] A. Azzara, M. Petracca, and P. Pagano, “The icsi m2m middleware for iot-based intelligent transportation systems,” in Proceedings of the 2015 IEEE 18th International Conference on Intelligent Transportation Systems, pp. 155-160, 2015.
Hindawi Publishing Corporation hwtwpw:/.hwinwdwa.hi.ncodmawi.com and Volume 2018 International Journal of
Metrics
Back to previous page
@article{oai:it.cnr:prodotti:392877,
title = {Real-time smart parking systems integration in distributed ITS for smart cities},
author = {Alam M. and Moroni D. and Pieri G. and Tampucci M. and Gomes M. and Fonseca J. and Ferreira J. and Leone G. R.},
publisher = {Wiley-Blackwell, Oxford , Regno Unito},
doi = {10.1155/2018/1485652},
journal = {Journal of advanced transportation (Online)},
volume = {2018},
year = {2018}
}
0000-0002-7441-8528
