An Intelligent Transportation System for Safety and Integrated Management of Railway Crossings
Railway crossings are complex entities whose optimal management cannot be addressed unless with the help of an intelligent transportation system integrating information both on train and vehicular flows. In this paper, we propose an integrated system named SIMPLE (Railway Safety and Infrastructure for Mobility applied at level crossings) that, while providing unparalleled safety in railway level crossings, collects data on rail and road traffic and provides value-added services to citizens and commuters. Such services include for example alerts, via variable message signs to drivers and suggestions for alternative routes, towards a more sustainable, eco-friendly and efficient urban mobility. To achieve these goals, SIMPLE is organized as a System of Systems (SoS), with a modular architecture whose components range from specially-designed radar sensors for obstacle detection to smart ETSI M2M-compliant camera networks for urban traffic monitoring. Computational unit for performing forecast according to adaptive models of train and vehicular traffic are also included. The proposed system has been tested and validated during an extensive trial held in the mid-sized Italian town of Montecatini, a paradigmatic case where the rail network is inextricably linked with the fabric of the city. Results of the tests are reported and discussed.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1127908Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 955
 R. Ramchadran, “FPGA based SOC for railway level crossing management system,” International Journal of Soft Computing and Engineering (IJSCE), vol. 2-3, pp. 134–137, 2012.
 P. V. K. D. Yugandhar, “An enhanced railway transport system using fpga through gps & gsm,” International Journal of Soft Computing and Engineering (IJSCE), vol. 2-6, pp. 185–188, January 2013.
 A. Tsiftsis, G. C. Sirakoulis, and J. Lygouras, “FPGA design of a cellular automaton model for railway traffic flow with GPS module,” Lecture Notes in Computer Science, vol. 6530, pp. 373–384, 2010.
 Wu, Geng, et al. "M2M: From mobile to embedded internet." Communications Magazine, IEEE 49.4 (2011): 36-43.
 M. Magrini, D. Moroni, G. Pieri, O. Salvetti, “Real time image analysis for infomobility,” Lecture Notes in Computer Science, vol. 7252, pp. 207–218, Emanuele Salerno, A. Enis Çetin, Ovidio Salvetti (eds.), Berlin: Springer Verlag, 2012.
 M. Magrini, D. Moroni, G. Pieri, O. Salvetti, “Lightweight computer vision methods for traffic flow monitoring on low power embedded sensors,” in Proc. VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications, Berlin, Germany, 11-14 March 2015, vol. 2 pp. 663-670, José Braz, Sebastiano Battiato and Francisco Imai (eds.), SCITEPRESS - Science and Technology Publications, 2015.
 Behrisch, Michael, et al. "Sumo-simulation of urban mobility-an overview." SIMUL 2011, The Third International Conference on Advances in System Simulation. 2011.
 CENELEC, EN. "50129." Railway Applications-Communication. Signaling and Processing Systems-Safety Related Electronic Systems for Signalling: BSI (2003).