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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8276))

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Abstract

This paper described the smart system that is executed on board the vehicles of the fleet of a public transport company whose mission is to help the regulating authorities to control, verify and enhance the public transport service. This system is autonomous and does not interfere in the operations carried out by the vehicle; it provides useful data obtained transparently from drivers and passengers, using different sensors installed in the vehicle. The system has been used in several vehicles of the public transport fleet’s in real operational conditions and some of the results obtained are presented here.

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© 2013 Springer International Publishing Switzerland

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Padrón, G., García, C.R., Quesada-Arencibia, A., Alayón, F., Pérez, R. (2013). Applying Ambient Intelligence to Improve Public Road Transport. In: Urzaiz, G., Ochoa, S.F., Bravo, J., Chen, L.L., Oliveira, J. (eds) Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction. Lecture Notes in Computer Science, vol 8276. Springer, Cham. https://doi.org/10.1007/978-3-319-03176-7_42

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  • DOI: https://doi.org/10.1007/978-3-319-03176-7_42

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03175-0

  • Online ISBN: 978-3-319-03176-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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