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AEB Control Strategy and Collision Analysis Considering the Human-Vehicle-Road Environment

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Pervasive Systems, Algorithms and Networks (I-SPAN 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1080))

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Abstract

Automatic emergency braking System (AEB) is one of key technologies of advanced driver assistance systems (ADAS). In order to avoid and reduce the occurrence of rear-end collision accidents. This paper analyzes the motion state of the target vehicle, taking into account the driver’s reaction time and real road conditions. And this paper considers the influence of road adhesion coefficient on braking distance. In this paper, the logic rule of AEB is established. Through simulation experiment, the AEB rule is verified for the reliability on different pavements. It enables AEB to adapt to most road conditions and people with different personalities. The performance of traditional autonomous emergency braking system has been improved. The new AEB rule guarantees the safety of longitudinal driving by braking warning and participating in braking at the right time.

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Author information

Authors and Affiliations

  1. Shandong University of Technology, Zibo, 255000, China

    Xunyi Li, Jinju Shao, Guo Wei & Ruhong Hou

Authors
  1. Xunyi Li
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  2. Jinju Shao
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  3. Guo Wei
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  4. Ruhong Hou
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Corresponding author

Correspondence to Jinju Shao .

Editor information

Editors and Affiliations

  1. University of Naples Federico II, Naples, Napoli, Italy

    Christian Esposito

  2. Soongsil University, Seoul, Korea (Republic of)

    Jiman Hong

  3. The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

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Li, X., Shao, J., Wei, G., Hou, R. (2019). AEB Control Strategy and Collision Analysis Considering the Human-Vehicle-Road Environment. In: Esposito, C., Hong, J., Choo, KK. (eds) Pervasive Systems, Algorithms and Networks. I-SPAN 2019. Communications in Computer and Information Science, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-30143-9_28

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  • DOI: https://doi.org/10.1007/978-3-030-30143-9_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30142-2

  • Online ISBN: 978-3-030-30143-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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