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Automated Truck Platoon Control

Author

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  • Lu, Xiao-Yun
  • Shladover, Steven E

Abstract

This report shows a successful application of 5.9 GHz DSRC with 100 ms update intervals to coordinate the automatic longitudinal control of a platoon of three Class 8 tractor-trailer trucks. The trucks were tested not only in constant-speed cruising conditions, but also through acceleration and deceleration profiles, up and down grades, and in platoon join and split maneuvers using the DSRC coordination. These tests showed acceptable vehicle following accuracy, ride quality and platoon stability. The gaps between the trucks were varied between 10 m and 4 m to evaluate the effects of aerodynamic drag reductions on fuel savings. The most complete set of drag data, at the 6 m gap, showed fuel savings of about 4-5% for the lead truck and in the range of 10% to 14% for the following trucks. The effects of platoon gap variations between 10 m and 4 m were more difficult to determine with certainty because strong ambient winds during those tests led to large differences in the results depending on the truck direction of travel, but the results imply a significant potential for larger savings at the shorter gaps.

Suggested Citation

  • Lu, Xiao-Yun & Shladover, Steven E, 2011. "Automated Truck Platoon Control," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7c55g2qs, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt7c55g2qs
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    File URL: https://www.escholarship.org/uc/item/7c55g2qs.pdf;origin=repeccitec
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    References listed on IDEAS

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    1. Browand, Fred & McArthur, John & Radovich, Charles, 2004. "Fuel Saving Achieved in the Field Test of Two Tandem Trucks," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt29v570mm, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Shladover, Steven E. & Nowakowski, Christopher & Lu, Xiao-Yun, 2018. "Using Cooperative Adaptive Cruise Control (CACC)to Form High-Performance Vehicle Streams. Definitions, Literature Review and Operational Concept Alternatives," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3w6920wz, Institute of Transportation Studies, UC Berkeley.
    2. Shladover, Steven E & Nowakowski, Christopher & Lu, Xiao-Yun & Hoogendoorn, Raymond, 2014. "Using Cooperative Adaptive Cruise Control (CACC) to Form High-Performance Vehicle Streams," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3m89p611, Institute of Transportation Studies, UC Berkeley.
    3. Li, Xiaopeng, 2022. "Trade-off between safety, mobility and stability in automated vehicle following control: An analytical method," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 1-18.
    4. Bouchery, Yann & Hezarkhani, Behzad & Stauffer, Gautier, 2022. "Coalition formation and cost sharing for truck platooning," Transportation Research Part B: Methodological, Elsevier, vol. 165(C), pages 15-34.
    5. Nowakowski, Christopher & Shladover, Steven E & Lu, Xiao-Yun & Thompson, Deborah & Kailas, Aravind, 2015. "Cooperative Adaptive Cruise Control (CACC) for Truck Platooning: Operational Concept Alternatives," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7jf9n5wm, Institute of Transportation Studies, UC Berkeley.
    6. Larsen, Rune & Rich, Jeppe & Rasmussen, Thomas Kjær, 2019. "Hub-based truck platooning: Potentials and profitability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 249-264.

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