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Using Cooperative Adaptive Cruise Control (CACC) to Form High-Performance Vehicle Streams

Author

Listed:
  • Shladover, Steven E
  • Nowakowski, Christopher
  • Lu, Xiao-Yun
  • Hoogendoorn, Raymond

Abstract

This research identifies the operational concepts for managing cooperative adaptive cruise control (CACC) vehicle maneuvering and traffic flows. This includes approaches for grouping the CACC vehicles, ranging from ad-hoc to centrally coordinated strategies, and the incentives that could be used to facilitate the vehicle clustering, both operational and financial. These are particularly important at low market penetrations, when the CACC vehicles are likely to be widely separated. The dissolution of CACC strings is also discussed, since this needs to be done carefully to avoid adverse traffic impacts. While the main focus is on vehicle-to-vehicle (V2V) CACC for use on limited access highways, strategies for infrastructure to vehicle (I2V) CACC and for both V2V and I2V CACC on signalized arterials are also considered. Connected Cruise Control (CCC), which has been developed as a driver-advisory transitional strategy to lead toward CACC in the Netherlands, is also discussed.

Suggested Citation

  • 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.
    • Handle: RePEc:cdl:itsrrp:qt3m89p611
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    4. Shladover, Steven E & Lu, Xiao-Yun & Nowakowski, Christopher, 2011. "Development and Assessment of Selected Mobility Applications for VII: Principal Findings," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5r33k6wk, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Ghiasi, Amir & Hussain, Omar & Qian, Zhen (Sean) & Li, Xiaopeng, 2017. "A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 266-292.

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