Performance measurement evaluation framework and co-benefit / tradeoff analysis for connected and automated vehicles (CAV) applications : a survey : a research report from the National Center for Sustainable Transportation.

Details

• Creators:
  Tian, Danyang ; Wu, Guoyuan ; Boriboonsomsin, Kanok ; Barth, Matthew J.
• Corporate Creators:
  University of California, Riverside. Center for Environmental Research and Technology
• Corporate Contributors:
  National Center for Sustainable Transportation (NCST) ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  Automated Vehicle Control Co-benefits Intelligent Transportation Systems CAV Applications Mobility Performance Measures Sustainable Transportation Tradeoffs Vehicle Safety
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Research Report
• Corporate Publisher:
  National Center for Sustainable Transportation (NCST) (UTC)
• Abstract:
  A number of Connected and/or Automated Vehicle
  
  (CAV) applications have recently been designed to improve the
  
  performance of our transportation system. Safety, mobility and
  
  environmental sustainability are three cornerstone performance
  
  metrics when evaluating the benefits of CAV applications. These
  
  metrics can be quantified by various measures of effectiveness
  
  (MOEs). Most of the existing CAV research assesses the benefits
  
  of CAV applications on only one (e.g., safety) or two (e.g., mobility
  
  and environment) aspects, without holistically evaluating the
  
  interactions among the three types of MOEs. This paper first
  
  proposes a broad classification of CAV applications, i.e., vehiclecentric,
  
  infrastructure-centric, and traveler-centric. Based on a
  
  comprehensive literature review, a number of typical CAV
  
  applications have been examined in great detail, where a
  
  categorized analysis in terms of MOEs is performed. Finally,
  
  several conclusions are drawn, including the identification of
  
  influential factors on system performance, and suggested
  
  approaches for obtaining co-benefits across different types of
  
  MOEs.
  
  
• Format:
  PDF
• Collection(s):
  University Transportation Centers US Transportation Collection
• Main Document Checksum:
  urn:sha-512:9469b7ee4fcfd06904a599d4a2b45837604316353e1bd7a58db0a62ab40e8944c85841e3c68308f9b705dc77885b33c63aa13b0faed04bdcd6f29dade4c36f26
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32849/dot_32849_DS1.pdf
• File Type:
  [PDF - 2.15 MB ]