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Using Cooperative Adaptive Cruise Control (CACC) to Form High-Performance Vehicle Streams:Simulation Results Analysis

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  • Liu, Hao
  • Kan, Xingan David
  • Shladover, Steven E.
  • Lu, Xiao-Yun

Abstract

This document contains detailed simulation results analysis and discussion for the Federal Highway Administration (FHWA) Exploratory Advanced Research (EAR) project entitled Using Cooperative Adaptive Cruise Control (CACC) to Form High-Performance Vehicle Streams. The objective of this study is to obtain authoritative predictions of traffic impacts of ACC and CACC at various market penetrations and define the CACC operation strategies that create the most capacity and throughput improvement in the freeway traffic stream. A microscopic traffic simulation environment has been developed for quantifying the capacity and throughput improvements. The performance of each analysis scenario is quantified via systematic mobility indicators estimated based on the simulation data.

Suggested Citation

  • Liu, Hao & Kan, Xingan David & Shladover, Steven E. & Lu, Xiao-Yun, 2018. "Using Cooperative Adaptive Cruise Control (CACC) to Form High-Performance Vehicle Streams:Simulation Results Analysis," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt31w2f555, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt31w2f555
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    Cited by:

    1. Neda Mirzaeian & Soo-Haeng Cho & Alan Scheller-Wolf, 2021. "A Queueing Model and Analysis for Autonomous Vehicles on Highways," Management Science, INFORMS, vol. 67(5), pages 2904-2923, May.

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