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Cloud Drive: A Computing Architecture for a Scalable Driving Safety Management System

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 239))

Abstract

In Japan, taxi, bus, and cargo truck operation companies are required by law to commit to driving safety management. Driving safety management is achieved by a cyclic process consisting of collecting sensory information, assessing driving safety, and improving driving based on the results. At this time, this is performed by transport company personnel. In this paper, an architecture and its implementation for a scalable driving safety management system are proposed. The system consists of smart devices and services provided by a cloud computing infrastructure. The smart devices are connected to 3G wireless networks used to collect and send sensory information such as video image sequences, acceleration, and GPS data. The services available in the cloud computing infrastructure are a time-series sensory data storage service, image analysis service for driving assessment, and real-time feedback service.

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References

  1. Ministry of Land, Infrastructure, Transport and Tourism, http://www.mlit.go.jp/en/

  2. Maeda, M., Uetani, T., Takagi, M.: Development of Drive Recorder. FUJITSU TEN TECH J. (27), 3–9 (2006)

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  4. Enokida, S., Okano, K., Hayashi, T., Ejima, T.: Following Distance Estimation based on the Video Image Sequence acquired by Drive Video Recorder. In: Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on Advanced Intelligent Systems, vol. FR-C4(1), pp. 1090–1095 (2008)

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© 2011 Springer-Verlag Berlin Heidelberg

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Oda, K., Hayashi, T., Izumi, S., Wada, T., Enokida, S. (2011). Cloud Drive: A Computing Architecture for a Scalable Driving Safety Management System. In: Mikulski, J. (eds) Modern Transport Telematics. TST 2011. Communications in Computer and Information Science, vol 239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24660-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-24660-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24659-3

  • Online ISBN: 978-3-642-24660-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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