Exploratory modeling to support multi-criteria analysis to cope with the uncertainties in implementing ISA

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Policymakers are facing public pressure to take measures to reduce road fatalities due to speeding. A potential measure for reducing speeding is implementing Intelligent Speed Adaptation (ISA), which supports or enforces a driver to maintain the appropriate speed limit. However, despite its safety benefits, ISA impacts on other measures, such as emissions, throughput, and travel time, also need to be considered. In this paper we show how exploratory modelling can support a multi-criteria analysis to develop good policies for the implementation of ISA. The insights may shed light on the uncertainties and enable a large scale implementation of ISA.

Original languageEnglish (US)
Title of host publication14th World Congress on Intelligent Transport Systems, ITS 2007
Pages830-838
Number of pages9
Volume2
StatePublished - 2007
Externally publishedYes
Event14th World Congress on Intelligent Transport Systems, ITS 2007 - Beijing, China
Duration: Oct 9 2007Oct 13 2007

Other

Other14th World Congress on Intelligent Transport Systems, ITS 2007
CountryChina
CityBeijing
Period10/9/0710/13/07

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Keywords

  • Exploratory modeling
  • ISA
  • Multi-criteria analysis
  • Uncertainty

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Transportation
  • Automotive Engineering
  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Science Applications

Cite this

Van Der Pas, J. W. G. M., Agusdinata, B., Walker, W. E., & Marchau, V. A. J. W. (2007). Exploratory modeling to support multi-criteria analysis to cope with the uncertainties in implementing ISA. In 14th World Congress on Intelligent Transport Systems, ITS 2007 (Vol. 2, pp. 830-838)