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An Event-Driven Adaptive Cruise Controller

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Trends in Applied Knowledge-Based Systems and Data Science (IEA/AIE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9799))

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Abstract

The proposed Event-Driven Adaptive Cruise Controller (EDACC) serves as longitudinal driver assistant by accelerating, decelerating, and stopping the host vehicle given the readings of various sensors. EDACC uses a simplified non-linear longitudinal vehicle model and a hierarchical control structure of PI and PID controllers integrated with an embedded specific logic. In addition to the adaptability of the ACC, events can be added such as host vehicle entering speed-limit zone and/or having punctured tire. The proposed EDACC is designed and implemented using Matlab and Simulink to simulate multiple scenarios.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Faculty of Engineering, University of Balamand, P.O. Box 100, Tripoli, Lebanon

    Jessica Jreijiry & Mohamad Khaldi

Authors
  1. Jessica Jreijiry
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  2. Mohamad Khaldi
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Corresponding author

Correspondence to Mohamad Khaldi .

Editor information

Editors and Affiliations

  1. Iwate Prefectural University , Iwate, Japan

    Hamido Fujita

  2. Department Computer Science, Texas State University, San Marcos, Texas, USA

    Moonis Ali

  3. Universiti Teknologi Malaysis (UTM), Bahru, Malaysia

    Ali Selamat

  4. Iwate Prefectural University , Iwate, Japan

    Jun Sasaki

  5. Iwate Prefectural University , Iwate, Japan

    Masaki Kurematsu

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© 2016 Springer International Publishing Switzerland

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Jreijiry, J., Khaldi, M. (2016). An Event-Driven Adaptive Cruise Controller. In: Fujita, H., Ali, M., Selamat, A., Sasaki, J., Kurematsu, M. (eds) Trends in Applied Knowledge-Based Systems and Data Science. IEA/AIE 2016. Lecture Notes in Computer Science(), vol 9799. Springer, Cham. https://doi.org/10.1007/978-3-319-42007-3_83

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  • DOI: https://doi.org/10.1007/978-3-319-42007-3_83

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42006-6

  • Online ISBN: 978-3-319-42007-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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