Meta-Analysis of Adaptive Cruise Control Applications: Operational and Environmental Benefits

Details

• Creators:
  Eilbert, Andrew ; Berg, Ian ; Smith, Scott B.
• Corporate Creators:
  John A. Volpe National Transportation Systems Center (U.S.)
• Corporate Contributors:
  United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
• Subject/TRT Terms:
  • Autonomous intelligent cruise control
  • Cruise control
  • Automation
  • Emissions reduction
  • Meta-analysis Cooperative
  • adaptive
  • ACC
  • CACC
  • V2V
  • V2I
  More +
• Publication/ Report Number:
  FHWA-JPO-18-743;DOT-VNTSC-OSTR-19-02
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Contracting Officer:
  Dopart, Kevin
• Corporate Publisher:
  United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
• Abstract:
  With the increasing adoption of adaptive cruise control (ACC) and development of cooperative adaptive cruise control (CACC), their effect on traffic, energy, and emissions is an ever more urgent question. Using the rapidly growing body of research on these impacts, this report presents a systematic review and meta-analysis of 67 recent studies. The majority were simulation studies with a few field tests. While the assumptions and methodology between studies in our review differ widely, a meta-analysis of maximum reported capacity improvements and fuel savings confirmed that CACC applications tend to increase capacity and fuel savings over manual driving due to shortened following time gaps and greater string stability from connectivity. In contrast, ACC applications do not always show capacity improvements, and if so, these improvements are more modest on average than for CACC systems. We found that ACC systems do, however, appear to smooth driving through less braking and reduced hard acceleration events such that fuel consumption is reduced, but not on average as much as CACC systems.
• Format:
  PDF
• Funding:
  Inter-Agency Agreement DTFH61-15-V-00022;HW9EA4
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/41929/dot_41929_DS1.pdf
• File Type:
  [PDF - 785.12 KB]
• Collection(s):
  Autonomous Vehicles ; Volpe Center ; Federal Highway Administration ; ITSJPO Digital Library
• Main Document Checksum:
  urn:sha-512:34cc31e760a3bf1b30e3b2fef0edc7f4d31eaf2976d533735ae81b0b444ea3f82d7f12a85dd1d46d4bb766b631a941a18da97cc0ca0562d50c5529c012ff0043