Skip to the main content

Original scientific paper

https://doi.org/10.7307/ptt.v34i2.3928

Combining Traffic Safety Exposure Indicators in a Composite Exposure Index

Bojana Todosijević ; University of Belgrade, Faculty of Transport and Traffic Engineering
Dalibor Pešić ; University of Belgrade, Faculty of Transport and Traffic Engineering
Boris Antić ; University of Belgrade, Faculty of Transport and Traffic Engineering
Krsto Lipovac ; University of Belgrade, Faculty of Transport and Traffic Engineering
Filip Filipović ; University of Belgrade, Faculty of Transport and Traffic Engineering


Full text: english pdf 531 Kb

page 211-221

downloads: 152

cite


Abstract

The problem of choosing only one relevant safety performance indicator for the purpose of comparing and assessing road safety situations has been the subject of many recent research studies. This paper shows the concept of creating a composite exposure index based on available data. The procedure of creating a model for calculating this indicator is based on the analysis of quality of individual exposure indicators and the size of their impact on the direct safety performance indicators – number of road crashes and their consequences. The following four models (TOPSIS EQUAL, TOPSIS CRIT-IC, PROMETHEE EQUAL, PROMETHEE CRITIC) for determining weighted coefficients of the individual indi-cators that participate in the creation of the composite exposure index have been analysed in this paper. The method used for defining the composite exposure index is the “high-efficiency method” based on which the final shape of the model for defining the composite exposure index has been defined. The main aim of this paper is to create a model for defining the composite index of traffic exposure. The final outcome is to provide an opportuni-ty to evaluate and rank traffic safety levels based on the unique road traffic risk.

Keywords

exposure; indicators; risk; TOPSIS; PROMETHEE

Hrčak ID:

274647

URI

https://hrcak.srce.hr/274647

Publication date:

31.3.2022.

Visits: 537 *