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Evaluation of Impacts of Adaptive Cruise Control on Mixed Traffic Flow

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Author Info

  • 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. It¹s 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.

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File URL: http://nexus.umn.edu/Papers/ACC.pdf
File Function: First version, 2007
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Bibliographic Info

Paper provided by University of Minnesota: Nexus Research Group in its series Working Papers with number 200208.

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Date of creation: 2006
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Publication status: Published in Proceedings of International Conference on Traffic and Transportation Studies p. 762-779, held in Guilin, China July 2002, ASCE Washington DC.
Handle: RePEc:nex:wpaper:acc

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Postal: Dept. of Civil Engineering, 500 Pillsbury Drive SE, Minneapolis, MN 55455
Phone: +01 (612) 625-6354
Fax: +01 (612) 626-7750
Web page: http://nexus.umn.edu
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Keywords: Adaptive Cruise Control;

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  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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