Abstract
In the last decades the cost of manufacturing sensors has decreased greatly, making it possible to apply many different artificial intelligence techniques to improve the quality of our lives, one of them being the reduction of deaths in traffic accidents. Such misfortunes are usually caused by the long waiting period between the occurrence of the accident, the calling of the emergency service and their arrival. The goal of this work is to design an intelligent platform that detects a traffic accident automatically and which requires no interaction on the part of the people involved. We will design a low-cost hardware that will be suited to all types of vehicles. The sensors and medical services will be interconnected by a multi-agent system of virtual organizations (PANGEA).
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Acknowledgements
This work was supported by the Spanish Ministry, Ministerio de Economía y Competitividad and FEDER funds. Project. SURF: Intelligent System for integrated and sustainable management of urban fleets TIN2015-65515-C4-3-R.
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Moro, A., Andrés, F., Villarrubia, G., Hernández, D., De Paz, J.F. (2017). Collision Detection System Using Mobile Devices and PANGEA. In: De Paz, J., Julián, V., Villarrubia, G., Marreiros, G., Novais, P. (eds) Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017). ISAmI 2017. Advances in Intelligent Systems and Computing, vol 615. Springer, Cham. https://doi.org/10.1007/978-3-319-61118-1_9
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