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Evaluation of Impacts of Adaptive Cruise Control on Mixed Traffic Flow

Author

Listed:
  • Xi Zou
  • David Levinson

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

This paper addresses the impacts of Adaptive (Intelligent) Cruise Control (ACC) laws on traffic flow. Semi-automated vehicles, such as ACC Vehicles, with the capability to automatically follow each other in the same lane, will coexist with manually driven vehicles on the existing roadway system before they become universal. This mixed fleet scenario creates new capacity and safety issues. In this paper, simulation results of various mixed fleet scenarios under different ACC laws are presented. Explicit comparison of two ACC laws, Constant Time Headway (CTH) and Variable Time Headway (VTH), are based on these results. It?s found that the latter one has better performance in terms of capacity and stability of traffic. Throughput increases with the proportion of CTH vehicles when flow is below capacity conditions. But above capacity, speed variability increases and speed drops with the CTH traffic compared with manual traffic, while the VTH traffic always performs better.

Suggested Citation

  • Xi Zou & David Levinson, 2006. "Evaluation of Impacts of Adaptive Cruise Control on Mixed Traffic Flow," Working Papers 200208, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:acc
    as

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    File URL: http://hdl.handle.net/11299/179888
    File Function: First version, 2007
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    References listed on IDEAS

    as
    1. Gipps, P.G., 1981. "A behavioural car-following model for computer simulation," Transportation Research Part B: Methodological, Elsevier, vol. 15(2), pages 105-111, April.
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    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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