Abstract
The paper describes and reports the results of a project that has involved Project Automation S.p.A. and the Italian highway company Società Autostrade S.p.A. The main aim of the project is to deliver a monitoring and control system to support traffic operators of Italian highways in their working activities. The main functionalities of the delivered system are: automatic detection of anomalous traffic patterns, alarm filtering according to peculiarities of the monitored highway section, atomic alarm correlation, and automatic control of traffic anomalies. In particular, the paper gives a general introduction to the System for Automatic MOnitoring of Traffic (SAMOT), its aims, design approach and general architecture. Moreover, more details will be given on the Alarm Correlation Module (MCA), a knowledge–based solution based on Modal Logic approach to the atomic alarm correlation and filtering. Finally, we will show three significant installations of the SAMOT system that are currently working to support traffic operators of some of the most important and traffic congested Italian highways.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bandini, S., Bogni, D., Manzoni, S.: Knowledge-based alarm correlation in traffic monitoring and control. In: Proceedings of the IEEE 5th International Conference on Intelligent Transportation Systems (ITSC 2002), Singapore, September 3-6 2002. IEEE Computer Society, Los Alamitos (2002)
Transportation systems. In: Papageorgiou, M., Pouliezos, A. (eds.) Proceedings of the 8th IFAC/IFIP/IFORS Symposium, Chania, vol. 1, 2, 3 (1997)
Ferrier, N., Rowe, S., Blake, A.: Real-time traffic monitoring. In: Proceedings of WACV 1994, pp. 81–88 (1994)
Ng, A., Ang, K., Chung, C., Gu, M., Ng, Y.: Change of image. Traffic Technology International, 56–58 (2002)
Egmont-Petersen, M., de Ridder, D., Handels, H.: Image processing with neural networks a review. Pattern Recognition 35, 119–141 (2002)
Bielli, M., Ambrosino, G., Boero, M. (eds.): Artificial Intelligence Applications to Traffic Engineering, Utrecht, The Netherlands (1994)
Versavel, J.: Sparing lives, saving time. Traffic Technology International, 189–194 (2001)
Bandini, S., Mosca, A., Palmonari, M., Sartori, F.: A conceptual framework for monitoring and control system development. In: Baresi, L., Dustdar, S., Gall, H.C., Matera, M. (eds.) UMICS 2004. LNCS, vol. 3272, pp. 111–124. Springer, Heidelberg (2004)
Bandini, S., Manzoni, S., Mosca, A., Sartori, F.: Intelligent alarm correlation. In: Proc. of System, Machine and Cybernetics, Special Session on Modelling and Control of Transportation and Traffic Systems, Washington, pp. 3601–3606 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bandini, S., Bogni, D., Manzoni, S., Mosca, A. (2005). ST–Modal Logic to Correlate Traffic Alarms on Italian Highways: Project Overview and Example Installations. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_112
Download citation
DOI: https://doi.org/10.1007/11504894_112
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26551-1
Online ISBN: 978-3-540-31893-4
eBook Packages: Computer ScienceComputer Science (R0)