2009
DOI: 10.1002/atr.5670430402
|View full text |Cite
|
Sign up to set email alerts
|

Multi‐criteria analysis for evaluating the impacts of intelligent speed adaptation

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 uncerta… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
9
0

Year Published

2010
2010
2019
2019

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 19 publications
(9 citation statements)
references
References 28 publications
0
9
0
Order By: Relevance
“…The Step III actions are anticipatory and concurrent; the Step IV actions are reactive. APM has been applied for strategic planning for airports [36], expansion of the port of Rotterdam [38], flood risk management in the Netherlands in light of climate change [39], policies with respect to the implementation of innovative urban transport infrastructures [40], congestion road pricing [41], intelligent speed adaptation [42], magnetically levitated (Maglev) rail transport [41], and energy transitions [43].…”
Section: Adaptive Policymakingmentioning
confidence: 99%
“…The Step III actions are anticipatory and concurrent; the Step IV actions are reactive. APM has been applied for strategic planning for airports [36], expansion of the port of Rotterdam [38], flood risk management in the Netherlands in light of climate change [39], policies with respect to the implementation of innovative urban transport infrastructures [40], congestion road pricing [41], intelligent speed adaptation [42], magnetically levitated (Maglev) rail transport [41], and energy transitions [43].…”
Section: Adaptive Policymakingmentioning
confidence: 99%
“…Campos and De Rus (2009) evaluated the sustainable mobility based weightage index in urban zones. Agusdinata et al (2009) utilized a model for ex-…”
Section: Transportation Systems and Mcdmmentioning
confidence: 99%
“…This methodology facilitates decision making by integrating both the risk and the value of projects. Agusdinata et al [67] presented an innovative MCA approach based on exploratory modelling to handle uncertainties surrounding Intelligent Speed Adaptation policymaking. This approach 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.…”
Section: Multi-criteria Analysismentioning
confidence: 99%