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      Implementation and evaluation of cooperative adaptive cruise control functionalities

      research-article
      1 , 2 , , 3 , 2 , 4 , 5 , 6 , 7 , 8 , 3 , 4 , 9 , 8 , 4 , 10 , 10
      IET Intelligent Transport Systems
      The Institution of Engineering and Technology
      road vehicles, adaptive control, road safety, traffic engineering computing, software architecture, control engineering computing, velocity control, software system architecture, United States, Crash Avoidance Metrics Partners, Federal Highway Administration, CACC, cooperative adaptive cruise control, adaptive cruise control, ACC vehicle testing

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          Abstract

          This study summarises the implementation of software system architecture and relevant modules to enable cooperative adaptive cruise control (CACC) functionalities as an extension of adaptive cruise control (ACC), thereby leveraging the lessons learned from prototype ACC vehicle testing as well as ideas from prior research. These activities were conducted in the United States under a cooperative agreement between the Crash Avoidance Metrics Partners, LLC and the Federal Highway Administration. A key outcome of this project was to understand the implementation of advanced capabilities for the CACC algorithm in a very structured manner. With the introduction of each CACC module, the impacts on the behaviours of vehicles following in a string (or string stability) were quantified to establish potential performance enhancements to automated following systems.

          Most cited references2

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          Cooperative adaptive cruise control small-scale test- phase 1

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            Cooperative adaptive cruise control human factors study: experiment 2 – merging behavior

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              Author and article information

              Contributors
              Journal
              IET-ITS
              IET Intelligent Transport Systems
              IET Intell. Transp. Syst.
              The Institution of Engineering and Technology
              1751-956X
              1751-9578
              6 September 2018
              25 September 2018
              November 2018
              : 12
              : 9
              : 1110-1115
              Affiliations
              [1 ] Volkswagen Group of America , 3800 Hamlin Road, Auburn Hills, MI 48326, USA
              [2 ] Volvo Group North America , 7900 National Service Road, Greensboro, NC 27409, USA
              [3 ] Ford Motor Company , 27220 Haggerty Road, Suite D-1, Farmington Hills, MI 48331, USA
              [4 ] Honda R&D Americas, Inc. , 1000 Town Center, Suite 2400, Southfield, MI 48075, USA
              [5 ] 24648 Millcreek Dr., Farmington Hills, MI 48336, USA
              [6 ] Hyundai-Kia America Technical Center, Inc. , 6800 Geddes Road, Superior Township, MI 48198, USA
              [7 ] SUBARU Research & Development, Inc. , 3995 Research Park Dr., Ann Arbor, MI 48108, USA
              [8 ] CAMP LLC , 27220 Haggerty Road, Suite D-1, Farmington Hills, MI 48331, USA
              [9 ] General Motors , 30500 Mound Road, Warren, MI 48092, USA
              [10 ] Mazda North American Operations , 46976 Magellan Dr., Wixom, MI 48393, USA
              Article
              IET-ITS.2018.5175 ITS.2018.5175.R1
              10.1049/iet-its.2018.5175
              5ba1fab5-41e3-42fe-9435-a202907c1dcd

              This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License ( http://creativecommons.org/licenses/by-nc-nd/3.0/)

              History
              : 29 January 2018
              : 15 June 2018
              : 18 July 2018
              Page count
              Pages: 0
              Funding
              Funded by: Federal Highway Administration
              Award ID: DTFH6114H0002
              Categories
              Special Issue: Selected Papers from the 25th ITS World Congress Copenhagen 2018

              General engineering,Electrical engineering
              ACC vehicle testing,road vehicles,adaptive control,software architecture,traffic engineering computing,road safety,control engineering computing,adaptive cruise control,velocity control,software system architecture,United States,cooperative adaptive cruise control,Crash Avoidance Metrics Partners,Federal Highway Administration,CACC

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