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Intelligent Cruise Control System Design Based on a Traffic Flow Specification

Author

Listed:
  • Swaroop, D.
  • Huandra, R.

Abstract

This paper investigates the problem of designing an Intelligent Cruise Control (ICC) algorithm for automated vehicles. An ICC algorithm, if implemented by every vehicle in the traffic, must guarantee that the density disturbances attenuate as they propagate up stream. Such a desirable property of the traffic is dependent on the spacing policy employed by automated vehicles and on the availability of information required to synthesize a string stable control law consistent with the employed spacing policy. The first part of the paper is concerned with the design of a spacing policy and the latter part is concerned with synthesizing an ICC algorithm for automated vehicles. Various other issues relating to the design of an ICC algorithm are also discussed.

Suggested Citation

  • Swaroop, D. & Huandra, R., 1999. "Intelligent Cruise Control System Design Based on a Traffic Flow Specification," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0941c5gg, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt0941c5gg
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    Citations

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    Cited by:

    1. Montanino, Marcello & Punzo, Vincenzo, 2021. "On string stability of a mixed and heterogeneous traffic flow: A unifying modelling framework," Transportation Research Part B: Methodological, Elsevier, vol. 144(C), pages 133-154.
    2. Zhang, Jianlong & Ioannou, Petros, 2004. "Integrated Roadway / Adaptive Cruise Control System: Safety, Performance, Environmental and Near Term Deployment Considerations," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4749164x, Institute of Transportation Studies, UC Berkeley.
    3. Zhang, Jianlong & Ioannou, Petros, 2004. "Control of Heavy-Duty Trucks: Environmental and Fuel Economy Considerations," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3qt9440g, Institute of Transportation Studies, UC Berkeley.

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