EVALUATION OF THE ENVIRONMENTAL EFFECTS OF INTELLIGENT CRUISE CONTROL (ICC) VEHICLES

Intelligent Cruise Control (ICC) vehicles are already commercially available in Japan and should be ready for the North American market by next year. Though ICC controllers are local and string stable however, it is not clear how these vehicles perform environmentally. In this paper we show that ICC vehicles can accurately track a lead vehicle and attenuate position errors generated by the lead vehicle during smooth transients. Furthermore, the smooth response of ICC vehicles designed for human factor considerations filters out traffic disturbances caused by rapid acceleration transients. Such ICC vehicle properties have beneficial air pollution and fuel consumption effects that are significant when the manual vehicles perform aggressive rapid acceleration maneuvers. These results are obtained using Pipes human driver vehicle following model which models the slinky type effects observed in today's manual driving. In this paper the response of the Pipes model is compared with that of human drivers. It is observed that Pipes model gives a smooth approximation of human driver response during the presence of transients. We have demonstrated using simulations that the fuel consumption and pollution levels present in manual traffic can be reduced during rapid acceleration transients by 28.5% and 1.5%-60.6% respectively due to the presence of 10% semi- automated vehicles

  • Supplemental Notes:
    • Publication Date: 2001 Transportation Research Board, Washington DC Remarks: Paper 01-2203 prepared for presentation at the 80th annual meeting of the Transportation Research Board, Washington, D.C., January 2001
  • Corporate Authors:

    University of Toronto

    Department of Civil Engineering, 35 St George Street
    Toronto, Ontario  Canada  M5S 1A4

    University of California, Berkeley

    California PATH Program, Institute of Transportation Studies
    Richmond Field Station, 1357 South 46th Street
    Richmond, CA  United States  94804-4648

    California Department of Transportation

    1120 N Street
    Sacramento, CA  United States  95814

    University of Toronto

    Intelligent Transportation Systems Center
    Toronto, Ontario  Canada 

    Natural Sciences and Engineering Research Council Canada

    ,    

    University of Iowa, Iowa City

    102 Church Street
    Iowa City, IA  United States  52242

    National Highway Traffic Safety Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    PTV AG

    ,    
  • Authors:
  • Conference:
  • Date: 2001

Language

  • English

Media Info

  • Pagination: 25 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00806593
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH, USDOT, STATEDOT
  • Created Date: Mar 13 2001 12:00AM