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Abstract
This paper describes a new cooperative Intelligent Transportation System (ITS) architecture which aim is to enable collaborative sensing services targeting to improve transportation efficiency and performance. This objective will be carried out by applying a combination of cooperative applications and methods for data sensing, acquisition, processing and communication amongst road users, vehicles, infrastructures and related stakeholders.
The advantages afforded by the proposed system due to the use of a distributed architecture, moving the system intelligence from the control centre to the peripheral devices are exposed. The global architecture of the system as well as the interaction between its components and the development of a set of services, gathering the sensed-data and providing relevant information to the users/drivers is also presented.
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Acknowledgement
This work has been partially funded by the European Commission under the Seventh Framework Programme. Intelligent Cooperative Sensing for Improved Traffic efficiency (ICSI) project. Grant agreement no.: 317671.
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Authors and Affiliations
Deusto Institute of Technology (DeustoTech), University of Deusto, Bilbao, Spain
Asier Moreno, Enrique Onieva, Asier Perallos & Pablo Fernández
INTECS SpA, Via Umberto Forti 5, Pisa, Italy
Giovanni Iovino
- Asier Moreno
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- Enrique Onieva
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- Asier Perallos
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- Giovanni Iovino
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- Pablo Fernández
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Corresponding author
Correspondence toAsier Moreno.
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Editors and Affiliations
Universidad de Alicante, Alicante, Spain
Juan M. García-Chamizo
University of Calabria, Rende, Italy
Giancarlo Fortino
Universidad de Chile, Santiago, Chile
Sergio F. Ochoa
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Moreno, A., Onieva, E., Perallos, A., Iovino, G., Fernández, P. (2015). Cooperative Decision-Making ITS Architecture Based on Distributed RSUs. In: García-Chamizo, J., Fortino, G., Ochoa, S. (eds) Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information. UCAmI 2015. Lecture Notes in Computer Science(), vol 9454. Springer, Cham. https://doi.org/10.1007/978-3-319-26401-1_8
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