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Real-Time Location System and Applied Research Report

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Internet of Vehicles - Safe and Intelligent Mobility (IOV 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9502))

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Abstract

RTLS (Real-Time Location System, RTLS), is a real-time or nearly real-time positioning system by wireless communication technology in a designated space (office, venue, city, global). RTLS is usually based on ZigBee, Wi-Fi, UWB, Bluetooth, infrared, ultrasonic, etc. With the features of low cost, low power, low complexity, high positioning accuracy and ease of deployment, it is widely applied in logistics, medical and military fields. This paper presents an application of RTLS based on ZigBee, in order to achieve real-time positioning of the vehicle. The RTLS is built in indoor parking environment, and it is tested and optimized its positioning accuracy. Experimental results show that the vehicle positioning results in the present system can achieve high positioning accuracy, positioning accuracy in 13 meters within a range of positioning accuracy 91.7 % in the 7.8 m range positioning accuracy was 83.3 %, correct positioning accuracy was 79.2 %.

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Authors and Affiliations

  1. Laboratory of Intelligent Traffic Information and Network Technology, Beijing University of Post and Telecommunications, Beijing, China

    Yansong Cui & Jiayu Zhao

Authors
  1. Yansong Cui
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  2. Jiayu Zhao
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Corresponding author

Correspondence to Jiayu Zhao .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Chung Hua University, Hsinchu, Taiwan, Taiwan

    Ching-Hsien Hsu

  2. School of Software, Dalian University of Technology, Dalian, China

    Feng Xia

  3. School of Electronic Engineering, University of Electronic Science and Tec, Chengdu, Sichuan, China

    Xingang Liu

  4. Network Technology Institute, Beijing University of Posts & Telec, Beijing, China

    Shangguang Wang

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© 2015 Springer International Publishing Switzerland

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Cui, Y., Zhao, J. (2015). Real-Time Location System and Applied Research Report. In: Hsu, CH., Xia, F., Liu, X., Wang, S. (eds) Internet of Vehicles - Safe and Intelligent Mobility. IOV 2015. Lecture Notes in Computer Science(), vol 9502. Springer, Cham. https://doi.org/10.1007/978-3-319-27293-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-27293-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27292-4

  • Online ISBN: 978-3-319-27293-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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