Estimating the Impacts of Automatic Emergency Braking (AEB) Technology on Traffic Energy and Emissions

Details

• Creators:
  Wu, Guoyuan ; Liao, Xishun ; Yang, Lan ; Barth, Matthew J.
• Corporate Creators:
  METRANS Transportation Center (Calif.) ; University of California, Riverside ; Chang'an University ; University of Southern California, Los Angeles
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Automatic braking
  • Case studies
  • Energy consumption
  • Environmental impacts
  • Pollutants
  • Traffic crashes
  • Machine learning Automatic Emergency Braking
  • Emissions
  • Accident avoidance
• Publication/ Report Number:
  PSR-MT-19-26-a
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final report (07/01/2020 – 06/30/2021)
• Corporate Publisher:
  Pacific Southwest Region University Transportation Center (UTC)
• Abstract:
  As one of the key advances in vehicle safety, Automatic Emergency Braking (AEB) has been introduced in the U.S. and the number of vehicles equipped with this technology has increased significantly in recent years. Most of existing studies have evaluated this technology at the individual vehicle level or focused on its safety performance. In this study, we tried to quantify its effectiveness on the energy consumption and tailpipe emissions. Towards this end, we: 1) performed literature review on AEB technology; 2) built a database including real-world traffic state measurements, traffic accident records, roadway geometry, and weather information; 3) developed a data-driven method to estimate the environmental impacts caused by the accidents that could be mitigated by AEB; and 4) conducted case study to show the efficacy of the proposed method. The results showed that the AEB technology may improve energy economy by up to 34.6% and reduce pollutant emissions (e.g., CO, HC, NOx and PM) by as much as 22.5% if the selected accidents could be avoided.
• Format:
  PDF
• Funding:
  69A3551747109
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/58487/dot_58487_DS1.pdf
• File Type:
  [PDF - 1.65 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:53bd308f01e7ce01469bf033d60b432195b6180e2e66b7b4182146dbcca6eb23e9fdd9cdc4fe13264b32e70882b246bd00e27fa34e8bec99e604b2f7895871f0