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Highway Accident Localization Based on Virtual Fence for Intelligent Transportation Systems

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Web Information Systems and Applications (WISA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13579))

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Abstract

It is important to determine the mile marker information of traffic accident (i.e., accident localization) for highway repairs and emergency rescue services in intelligent transportation systems. Since traditional localization methods usually target at reporting the coordinates of the accident, they obtain neither the driving direction of the accident vehicle nor the mile marker on actual highway. In order to address the above issue, in this paper, we propose to study the highway accident localization problem using virtual fence for intelligent transportation systems. First, the virtual fence of the highway is modeled for accident localization, including virtual area and virtual mile marker constructions. Then, an novel accident logic localization algorithm (ALLA) is proposed to determine the mile marker of the accident. The accident information can be automatically reported by using the WeChat applet. The driving direction and the mile marker can be determined by using the virtual fence. Finally, the performance of the proposed method is evaluated by using experimental simulations. The results show that the proposed method is able to efficiently localize highway accidents with low cost and high accuracy.

This work was supported in part by the Henan Provincial Major Public Welfare Project (201300210400), the China Postdoctoral Science Foundation (2020M672211 and 2020M672217), the Key Scientific Research Projects of Henan Provincial Colleges and Universities (21A520003), and the Key Technology Research and Development Program of Henan (182102210106, 212102210090, 212102210094, 222102210133, and 222102210055).

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Funding

The Elite Postgraduate Students Program of Henan University, China (grant numbers SYLYC2022149 and SYLYC2022147).

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Authors and Affiliations

  1. Henan International Joint Laboratory of Intelligent Network Theory and Key Technology, Henan University, Kaifeng, 475000, China

    Jinbo Li, Guanghui Wang, Fang Zuo & Xin He

  2. School of Software, Henan University, Kaifeng, 475000, China

    Jinbo Li, Guanghui Wang, Fang Zuo & Xin He

Authors
  1. Jinbo Li
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  2. Guanghui Wang
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  3. Fang Zuo
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  4. Xin He
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Corresponding author

Correspondence to Guanghui Wang .

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Editors and Affiliations

  1. National University of Defense Technology, Changsha, China

    Xiang Zhao

  2. Guangzhou University, Guangzhou, China

    Shiyu Yang

  3. Tianjin University, Tianjin, China

    Xin Wang

  4. Deakin University, Melbourne, VIC, Australia

    Jianxin Li

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Li, J., Wang, G., Zuo, F., He, X. (2022). Highway Accident Localization Based on Virtual Fence for Intelligent Transportation Systems. In: Zhao, X., Yang, S., Wang, X., Li, J. (eds) Web Information Systems and Applications. WISA 2022. Lecture Notes in Computer Science, vol 13579. Springer, Cham. https://doi.org/10.1007/978-3-031-20309-1_21

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  • DOI: https://doi.org/10.1007/978-3-031-20309-1_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20308-4

  • Online ISBN: 978-3-031-20309-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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