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Fuel Saving Achieved in the Field Test of Two Tandem Trucks

Author

Listed:
  • Browand, Fred
  • McArthur, John
  • Radovich, Charles

Abstract

The fuel consumption of two tandem trucks is recorded for truck spacings of 3, 4, 6, 8, and 10 meters. The trucks are linked by means of an electronic control system, and are operated on an unused runway at Crows Landing, California. Fuel consumption data is averaged while traveling in both directions over the same central strip of runway to cancel the effect of runway slope and to partially cancel the effect of wind. The average fuel consumption saving to be achieved by tandem operation varies from about 11% at 3-4 meters spacing to about 8% at 8-10 meters spacing.

Suggested Citation

  • 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.
    • Handle: RePEc:cdl:itsrrp:qt29v570mm
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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 & Barth, Matthew J & Zhang, Wei-Bin, 2011. "Engaging the International Community: Research on Intelligent Transportation Systems (ITS) Applications to Improve Environmental Performance," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4fn6f906, Institute of Transportation Studies, UC Berkeley.
    3. Boysen, Nils & Briskorn, Dirk & Schwerdfeger, Stefan, 2018. "The identical-path truck platooning problem," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 26-39.
    4. Barth, Matthew & Younglove, Theodore & Scora, George, 2005. "Development of a Heavy-Duty Diesel Modal Emissions and Fuel Consumption Model," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt67f0v3zf, Institute of Transportation Studies, UC Berkeley.
    5. 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.
    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. Władysław Marek Hamiga & Wojciech Bronisław Ciesielka, 2022. "Numerical Analysis of Aeroacoustic Phenomena Generated by Heterogeneous Column of Vehicles," Energies, MDPI, vol. 15(13), pages 1-37, June.
    8. Qazi Ejaz Ali & Naveed Ahmad & Abdul Haseeb Malik & Waheed Ur Rehman & Aziz Ud Din & Gauhar Ali, 2019. "ASPA: Advanced Strong Pseudonym based Authentication in Intelligent Transport System," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-26, August.
    9. Ghina H. Merhebi & Rouba Joumblat & Adel Elkordi, 2023. "Assessment of the Effect of Different Loading Combinations Due to Truck Platooning and Autonomous Vehicles on the Performance of Asphalt Pavement," Sustainability, MDPI, vol. 15(14), pages 1-22, July.
    10. 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.
    11. Yifeng Han & Tomoya Kawasaki & Shinya Hanaoka, 2022. "The Benefits of Truck Platooning with an Increasing Market Penetration: A Case Study in Japan," Sustainability, MDPI, vol. 14(15), pages 1-15, July.
    12. 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.
    13. Yang, Shiyan & Shladover, Steven E. & Lu, Xiao-Yun & Spring, John & Nelson, David & Ramezani, Hani, 2018. "A First Investigation of Truck Drivers’ On-the-Road Experience Using Cooperative Adaptive Cruise Control," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt92359572, Institute of Transportation Studies, UC Berkeley.
    14. Shladover, Steven E., 2009. "Deployment Path Analysis for Cooperative ITS Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt14j159kn, Institute of Transportation Studies, UC Berkeley.
    15. Shladover, Steven E. & Lu, Xiao-Yun & Cody, Delphine, 2009. "Development and Evaluation of Selected Mobility Applications for VII: Concept of Operations," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1011t5pk, Institute of Transportation Studies, UC Berkeley.
    16. 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.
    17. Barua, Limon & Zou, Bo & Choobchian, Pooria, 2023. "Maximizing truck platooning participation with preferences," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).

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