Multi-Criteria Analysis for evaluating the impacts of Intelligent Speed Adaptation

D. B. Agusdinata, J. W.G.M. Van Der Pas, W. E. Walker, V. A.W.J. Marchau

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Road safety is a policy priority due to the high casualties and costs associated with road accidents. Since speed is a major cause of road accidents, in-vehicle speed limiters or Intelligent Speed Adaptation (ISA), seems a promising solution. ISA implementation, however, is hindered by large uncertainties, for example about the impacts of ISA, the way users might respond to ISA, and the relationship between speed and accidents. Traditional Multi-Criteria Analysis (MCA) has limitations in handling these uncertainties. We present an MCA approach based on exploratory modeling, which uses computational experiments to explore the multiple outcomes of ISA policies (safety, emissions, throughput, and cost) across a range of future demand scenarios, functional relationships for performance criteria, and user responses to ISA. As an illustration, by testing the impacts of different ISA penetration levels on two driver groups, we show that when compliance with ISA is expected to be low, a policy aimed only at novice drivers outperforms other ISA policies on safety improvement.

Original languageEnglish (US)
Pages (from-to)413-454
Number of pages42
JournalJournal of Advanced Transportation
Volume43
Issue number4
DOIs
StatePublished - Oct 8 2009
Externally publishedYes

ASJC Scopus subject areas

  • Automotive Engineering
  • Economics and Econometrics
  • Mechanical Engineering
  • Computer Science Applications
  • Strategy and Management

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