Related Experiment Video
Updated: Mar 12, 2026

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
Published on: February 1, 2020
Method for selection of optimal road safety composite index with examples from DEA and TOPSIS method
Miroslav Rosić1, Dalibor Pešić2, Dragoslav Kukić3
1Road Traffic Safety Agency of the Republic of Serbia, Mihajlo Pupin Boulevard 2, 11000 Belgrade, Serbia.
Abstract:
Concept of composite road safety index is a popular and relatively new concept among road safety experts around the world. As there is a constant need for comparison among different units (countries, municipalities, roads, etc.) there is need to choose an adequate method which will make comparison fair to all compared units. Usually comparisons using one specific indicator (parameter which describes safety or unsafety) can end up with totally different ranking of compared units which is quite complicated for decision maker to determine "real best performers". Need for composite road safety index is becoming dominant since road safety presents a complex system where more and more indicators are constantly being developed to describe it. Among wide variety of models and developed composite indexes, a decision maker can come to even bigger dilemma than choosing one adequate risk measure. As DEA and TOPSIS are well-known mathematical models and have recently been increasingly used for risk evaluation in road safety, we used efficiencies (composite indexes) obtained by different models, based on DEA and TOPSIS, to present PROMETHEE-RS model for selection of optimal method for composite index. Method for selection of optimal composite index is based on three parameters (average correlation, average rank variation and average cluster variation) inserted into a PROMETHEE MCDM method in order to choose the optimal one. The model is tested by comparing 27 police departments in Serbia.
More Related Videos
Related Concept Videos
Response Surface Methodology
The process of RSM involves several key steps:
Design Example: Alignment of a Road Line Using GIS
Manipulation and Analysis
Friedman Two-way Analysis of Variance by Ranks
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Decision Making: P-value Method
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...

