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The Research How to Judge Social Vehicles Driving into ART

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Smart Computing and Communication (SmartCom 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10699))

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Abstract

This paper presents a new algorithm for avoiding ambulances being stuck for a long time in first aid, which uses advanced the Internet of Things (IoT) and location technology. Firstly, referring to BRT at home and aboard, ART is presented in the paper, which will be a kind of public service program in many important cities in China. Meanwhile; it is a very detailed research about the design idea of ART. Secondly, it also presents an algorithm how to judge social vehicles driving into ART, in order to avoid ambulances blocked, and increase times to rescue patients. Finally, the feasibility of the proposed algorithm is illustrated by some simulation experiments.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 61370092), Hubei Provincial Department of Education Outstanding Youth Scientific Innovation Team Support Foundation (T201410).

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Correspondence to Zenggang Xiong .

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Wang, W., Xiong, Z., Liu, Y., Xu, F., Ye, C. (2018). The Research How to Judge Social Vehicles Driving into ART. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2017. Lecture Notes in Computer Science(), vol 10699. Springer, Cham. https://doi.org/10.1007/978-3-319-73830-7_24

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  • DOI: https://doi.org/10.1007/978-3-319-73830-7_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73829-1

  • Online ISBN: 978-3-319-73830-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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