IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt1tv3z496.html
   My bibliography  Save this paper

Command Modification Using Input Shaping for Automated Highway Systems with Heavy Trucks

Author

Listed:
  • Bae, Hong S.
  • Gerdes, J. Christian

Abstract

Automated vehicles require sufficiently accurate system models in order to achieve a desired level of closed-loop performance in, for example, automated highways systems or smart cruise control systems. Parameters of the models are one of the important factors that determine the accuracy of system modeling and, eventually, the overall performance of the closed-loop system. Current GPS sensing technology enables estimation of road grade and, consequently, simple treatment of parameter estimation from a static force balance. This work has demonstrated that road grade can be reliably estimated using synchronized two antennae GPS system or the vertical to horizontal velocity ratio from GPS speed measurements. While both methods provide similar performance in road grade estimation with comparable errors, the velocity-ratio based, single-antenna system is a better choice since it is more economical to implement than two-antenna system. Accurate estimation of road grade enables the estimations of other important vehicle parameters. With reliable and accurate road grade estimates and the assumption of low frequency dynamics, the vehicle mass estimates have been shown to converge quickly within 2% and 5% of the measured values for a passenger car and a heavy truck, respectively. This work also presented a new method for maintaining and improving string stability by preventing actuator saturation in automated vehicles on highways. Instead of relying on feedback controllers to deal with the issue of actuator saturation after the fact, reference commands are fed through an FIR filter called an input shaper so that harmful components in the reference commands are reduced or removed. Input shaping is a command modification technique in which a reference command to a system is modified or shaped through convolution with an FIR filter. Original (unmodified) reference signals are passed through the input shaper and the shaped (modified) signals are then fed to the system. The purpose of this modification is to remove frequency content from the reference command that can produce oscillations in the closed-loop system due to lightly damped, flexible modes. With properly chosen impulses, the effect can be very significant.

Suggested Citation

  • Bae, Hong S. & Gerdes, J. Christian, 2004. "Command Modification Using Input Shaping for Automated Highway Systems with Heavy Trucks," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1tv3z496, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt1tv3z496
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/1tv3z496.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zabat, Michael & Stabile, Nick & Farascaroli, Stefano & Browand, Frederick, 1995. "The Aerodynamic Performance Of Platoons: A Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8ph187fw, Institute of Transportation Studies, UC Berkeley.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hu, Qiaolin & Gu, Weihua & Wu, Lingxiao & Zhang, Le, 2024. "Optimal autonomous truck platooning with detours, nonlinear costs, and a platoon size constraint," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    2. Erik Karger & Marvin Jagals & Frederik Ahlemann, 2021. "Blockchain for Smart Mobility—Literature Review and Future Research Agenda," Sustainability, MDPI, vol. 13(23), pages 1-32, November.
    3. Pi, Dawei & Xue, Pengyu & Wang, Weihua & Xie, Boyuan & Wang, Hongliang & Wang, Xianhui & Yin, Guodong, 2023. "Automotive platoon energy-saving: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    4. Bhoopalam, Anirudh Kishore & Agatz, Niels & Zuidwijk, Rob, 2018. "Planning of truck platoons: A literature review and directions for future research," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 212-228.
    5. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    6. Abdolmaleki, Mojtaba & Shahabi, Mehrdad & Yin, Yafeng & Masoud, Neda, 2021. "Itinerary planning for cooperative truck platooning," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 91-110.
    7. Kishore Bhoopalam, A. & Agatz, N.A.H. & Zuidwijk, R.A., 2017. "Planning of Truck Platoons: a Literature Review and Directions for Future Research," ERIM Report Series Research in Management ERS-2017-010-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Michaelian, Mark & Browand, Fred, 2000. "Field Experiments Demonstrate Fuel Savings for Close-Following," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6j03g652, Institute of Transportation Studies, UC Berkeley.
    9. Tanvir Uddin Chowdhury & Peter Y. Park & Kevin Gingerich, 2022. "Estimation of Appropriate Acceleration Lane Length for Safe and Efficient Truck Platooning Operation on Freeway Merge Areas," Sustainability, MDPI, vol. 14(19), pages 1-25, October.
    10. Chen, A. L. & Savas, Omer & Hedrick, Karl, 1997. "Transient Vehicle Aerodynamics In Four-car Platoons," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5048k2gw, Institute of Transportation Studies, UC Berkeley.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsrrp:qt1tv3z496. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.