RANKING DANGEROUS SECTIONS OF THE ROAD USING THE MCDM MODEL

dc.citation.epage131
dc.citation.spage115
dc.citation.volume2
dc.contributor.authorNenadić, Dragana
dc.date.accessioned2023-07-12T11:40:26Z
dc.date.available2023-07-12T11:40:26Z
dc.date.issued2019
dc.description.abstractTraffic accidents are a matter of great concern in traffic safety since they unexpectedly and sometimes unavoidably cause fatal and non-fatal injuries, or material damage. The causes of traffic accidents can vary but they can always be linked to one of the four basic factors: human, vehicle, road and environment. However, there are some places where traffic accidents happen more frequently than in others. The decision-making process concerning dangerous road sections using the Multi-criteria decision-making (MCDM) model involves the definition of quantitative and qualitative traffic safety criteria. The model used in the paper consists of five quantitative and two qualitative traffic safety criteria. Based on those criteria the ranking of the prospected sections is carried out. By analyzing the total number of traffic accidents, by their categories and by analyzing the current state of the traffic infrastructure and Annual Average Daily Traffic (AADT), seven traffic safety criteria are defined and, in the first phase of the model, are rated and ranked by their importance. By using the Full Consistency Method (FUCOM), weighted coefficients of the defined criteria are determined followed by ranking of dangerous road sections using the Weighted Aggregate Sum Product Assessment method (WASPAS). The obtained results show which of the offered alternatives is best ranked, that is, which section of the road is the safest one
dc.identifier.doi10.31181/dmame1901115n
dc.identifier.urihttps://vaseljena.ues.rs.ba/handle/123456789/431
dc.language.isoen
dc.sourceDecision Making: Applications in Management and Engineering
dc.subjectWords: Dangerous Sections, Traffic Safety, Multi-criteria Decision-making, FUCOM, WASPAS
dc.titleRANKING DANGEROUS SECTIONS OF THE ROAD USING THE MCDM MODEL
dc.typeArticle
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