Abstract
The BOSS project [1] aims at developing an innovative and bandwidth efficient communication system to transmit large data rate communications between public transport vehicles and the wayside to answer to the increasing need from Public Transport operators for new and/ or enhanced on-board functionality and services, such as passenger security and exploitation such as remote diagnostic or predictive maintenance. As a matter of fact, security issues, traditionally covered in stations by means of video-surveillance are clearly lacking on-board trains, due to the absence of efficient transmission means from the train to a supervising control centre. Similarly, diagnostic or maintenance issues are generally handled when the train arrives in stations or during maintenance stops, which prevents proactive actions to be carried out. The aim of the project is to circumvent these limitations and offer a system level solution. This article focuses on the communication system challenges.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Haritaoglu, I., Harwood, D., Davis, L.: W4: real-time surveillance of people and their activities. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 809–830 (2000)
Oliver, N., Rosario, B., Pentland, A.: A bayesian computer vision system for modelling human interactions. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 831–843 (2000)
Johnson, N., Hogg, D.: Learning recognition. Image and Vision Computing 14, 609–615
Hongeng, S., Brmond, F., Nevatia, R.: Representation and optimal recognition of human activities. In: IEEE Proceedings of Computer Vision and Pattern Recognition (2000)
Vu, T., Brmond, F., Thonnat, M.: Automatic video interpretation: a novel algorithm for temporal scenario recognition. In: Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI 2003) (2003)
Desurmont, X., Chaudy, C., Bastide, A., Parisot, C., Delaigle, J.F., Macq, B.: Image analysis architectures and techniques for intelligent systems. In: IEE proc. on Vision, Image and Signal Processing, Special issue on Intelligent Distributed Surveillance Systems (2005)
Huang, T., Russell, S.: Object identification in a Bayesian context. In: Proceedings of International Joint Conference on Artificial Intelligence, Nagoya, Aichi, Japan, August 23–29, 1997, pp. 1276–1283 (1997)
Kettnaker, V., Zabih, R.: Bayesian multi-camera surveillance. In: IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, 23–25 June, 1999, pp. 253–259 (1999)
Javed, O., Rasheed, Z., Shafique, K., Shah, M.: Tracking Across Multiple Cameras With Disjoint Views. In: Proceedings of the Ninth IEEE International Conference on Computer Vision, Nice, France, pp. 952–957 (2003)
Pedersini, F., Sarti, A., Tubaro, S.: Multi-camera Systems? IEEE Signal Processing Magazine 16(3), 55–65 (1999)
Wren, C.R., Rao, S.G.: Self-configuring lightweight sensor networks for ubiquitous computing. In: Proceedings of the International Conference on Ubiquitous Computing, Seattle, WA,USA, 12–15 October 2003, pp. 205–206 (2003)
Final report for TESS project: Les systèmes de communications satellites ou terrestres pour les flottes d’autobus urbains (satellite or terrestrial communication systems for urban busses fleet) (March 2003)
Final report, 5th PCRD project PRISMATICA
Final report, PREDIT2 – STATUE project
Final report, ESCORT – Enhanced diversity and Space Coding for underground metrO and Railway Transmission IST 1999–20006 project (December 2002)
INRESTS synthesis document: Synthèse INRETS N0 40 Nov 2001, Le systèmes de tl communication existants ou mergeants et leur utilisation dans le domaine des transports guides (Existing or emerging telecommunication systems and their use in guided transports)
SECURBUS – ACTES de la journée sécurité dans les transports (Proceedings of Day on security in transport means), BELFORT, France (January 2002)
Communication avec les mobiles: application au trafic et aux transports routiers (Communication with mobiles: application to traffic and road transportation) Collection du CERTU (March 2001), ISBN 2-11-090861-0, ISSN 0247-1159
UITP (international Association of Public Transport), http://www.uitp.com
Vacher, M., Istrate, D., Serignat, J.F.: Sound Detection through Transient Models using Wavelet Coefficient Trees. In: Proc. CSIMTA, Cherbourg, France (2004)
Khoudour, L., Aubert, D., Bruyelle, J.L., Leclerq, T., Flancquart, A.: A distributed multi-sensor surveillance system for public transport applications. In: Intelligent Distributed Video Surveillance Systems, ch. 7, IEEE, Los Alamitos (to appear)
Bruyelle, J.L., Khoudour, L., Velastin, S.A.: A multi-sensor surveillance system for public transport environments. In: 5th International Conference on Methods and Techniques in Behavioral, The Netherlands (2005)
Sun, J., Velastin, S.A., Vicencio-Silva, M.A., Lo, B., Khoudour, L.: An intelligent distributed surveillance system for public transport. In: European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, London, UK (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jeney, G. et al. (2007). Communications Challenges in the Celtic-BOSS Project. In: Koucheryavy, Y., Harju, J., Sayenko, A. (eds) Next Generation Teletraffic and Wired/Wireless Advanced Networking. NEW2AN 2007. Lecture Notes in Computer Science, vol 4712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74833-5_36
Download citation
DOI: https://doi.org/10.1007/978-3-540-74833-5_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74832-8
Online ISBN: 978-3-540-74833-5
eBook Packages: Computer ScienceComputer Science (R0)