FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2925138723> ?p ?o ?g. }

• W2925138723 abstract "The problem studied in this paper is the road insecurity, which is manifested by the big number of injuries and deaths recorded annually around the world. These victims of road accidents worry the whole community, hence the duty and the need to find solutions for reducing the number of victims and material damage. The overall purpose of this case study is to treat the problem of corporeal accidents known in France. The case study presented in this paper is intended to help decision-makers to find and understand the all significant relationships and correlations that exist between the conditions that led to these corporeal accidents. In fact, the two French ministries of interior and transport have jointly created a unique database on corporeal accidents, called BAAC “Accident Analysis Bulletin Corporal”, with the aim of allowing different exploitations of this database by different concerned administrations and research organizations. Our intervention consists to adopt a hybrid approach based on data mining techniques combined to the multicriteria decision methods. This approach allows to extract the most relevant association rules. The results thus obtained can be easily exploited by the decision-makers to choose the appropriate policies in the perspective of improving road safety. The proposed approach ranks all association rules in order of importance for several quality measures of association rules. The alternatives at the top of the ranking are the results to retaining for the analysis. The approach is applied to the BAAC database of 2016, which led to the selection of three association rules. These association rules reveal that there are narrow correlations between the following elements: Driver with Pedestrian, Normal Surface of Road with Normal Atmospheric Condition and the Pavement with Pedestrian. These correlations can be justified by excess speed and carelessness of the drivers. The improvement of the road safety needs mainly to work more intensively on the behavioral side of the road users. For future work, it is planned to apply the proposed approach to the French traffic accident database, containing all the data on road accidents collected over several years. In addition, other measures will be used in the ranking of the association rules." @default.
• W2925138723 created "2019-04-01" @default.
• W2925138723 creator A5037867217 @default.
• W2925138723 creator A5072452494 @default.
• W2925138723 creator A5078142832 @default.
• W2925138723 date "2019-01-31" @default.
• W2925138723 modified "2023-09-27" @default.
• W2925138723 title "Data mining combined to the multicriteria decision analysis for the improvement of road safety: case of France" @default.
• W2925138723 cites W1994231679 @default.
• W2925138723 cites W2010214985 @default.
• W2925138723 cites W2013845817 @default.
• W2925138723 cites W2030006306 @default.
• W2925138723 cites W2050973892 @default.
• W2925138723 cites W2064853889 @default.
• W2925138723 cites W2069086962 @default.
• W2925138723 cites W2078378570 @default.
• W2925138723 cites W2118796306 @default.
• W2925138723 cites W2142827986 @default.
• W2925138723 cites W2173274667 @default.
• W2925138723 cites W2264375300 @default.
• W2925138723 cites W2513186650 @default.
• W2925138723 cites W2617300785 @default.
• W2925138723 cites W2739988252 @default.
• W2925138723 cites W2747237564 @default.
• W2925138723 cites W2783025013 @default.
• W2925138723 cites W2911854518 @default.
• W2925138723 cites W2998574808 @default.
• W2925138723 cites W4243450781 @default.
• W2925138723 cites W4253336088 @default.
• W2925138723 doi "https://doi.org/10.1186/s40537-018-0165-0" @default.
• W2925138723 hasPublicationYear "2019" @default.
• W2925138723 type Work @default.
• W2925138723 sameAs 2925138723 @default.
• W2925138723 citedByCount "25" @default.
• W2925138723 countsByYear W29251387232019 @default.
• W2925138723 countsByYear W29251387232020 @default.
• W2925138723 countsByYear W29251387232021 @default.
• W2925138723 countsByYear W29251387232022 @default.
• W2925138723 countsByYear W29251387232023 @default.
• W2925138723 crossrefType "journal-article" @default.
• W2925138723 hasAuthorship W2925138723A5037867217 @default.
• W2925138723 hasAuthorship W2925138723A5072452494 @default.
• W2925138723 hasAuthorship W2925138723A5078142832 @default.
• W2925138723 hasBestOaLocation W29251387231 @default.
• W2925138723 hasConcept C10138342 @default.
• W2925138723 hasConcept C111472728 @default.
• W2925138723 hasConcept C112930515 @default.
• W2925138723 hasConcept C114614502 @default.
• W2925138723 hasConcept C118552586 @default.
• W2925138723 hasConcept C124101348 @default.
• W2925138723 hasConcept C127413603 @default.
• W2925138723 hasConcept C138885662 @default.
• W2925138723 hasConcept C144133560 @default.
• W2925138723 hasConcept C15744967 @default.
• W2925138723 hasConcept C164226766 @default.
• W2925138723 hasConcept C182306322 @default.
• W2925138723 hasConcept C189430467 @default.
• W2925138723 hasConcept C193524817 @default.
• W2925138723 hasConcept C23123220 @default.
• W2925138723 hasConcept C2522767166 @default.
• W2925138723 hasConcept C2779530757 @default.
• W2925138723 hasConcept C2780665704 @default.
• W2925138723 hasConcept C33923547 @default.
• W2925138723 hasConcept C41008148 @default.
• W2925138723 hasConcept C42475967 @default.
• W2925138723 hasConceptScore W2925138723C10138342 @default.
• W2925138723 hasConceptScore W2925138723C111472728 @default.
• W2925138723 hasConceptScore W2925138723C112930515 @default.
• W2925138723 hasConceptScore W2925138723C114614502 @default.
• W2925138723 hasConceptScore W2925138723C118552586 @default.
• W2925138723 hasConceptScore W2925138723C124101348 @default.
• W2925138723 hasConceptScore W2925138723C127413603 @default.
• W2925138723 hasConceptScore W2925138723C138885662 @default.
• W2925138723 hasConceptScore W2925138723C144133560 @default.
• W2925138723 hasConceptScore W2925138723C15744967 @default.
• W2925138723 hasConceptScore W2925138723C164226766 @default.
• W2925138723 hasConceptScore W2925138723C182306322 @default.
• W2925138723 hasConceptScore W2925138723C189430467 @default.
• W2925138723 hasConceptScore W2925138723C193524817 @default.
• W2925138723 hasConceptScore W2925138723C23123220 @default.
• W2925138723 hasConceptScore W2925138723C2522767166 @default.
• W2925138723 hasConceptScore W2925138723C2779530757 @default.
• W2925138723 hasConceptScore W2925138723C2780665704 @default.
• W2925138723 hasConceptScore W2925138723C33923547 @default.
• W2925138723 hasConceptScore W2925138723C41008148 @default.
• W2925138723 hasConceptScore W2925138723C42475967 @default.
• W2925138723 hasIssue "1" @default.
• W2925138723 hasLocation W29251387231 @default.
• W2925138723 hasLocation W29251387232 @default.
• W2925138723 hasOpenAccess W2925138723 @default.
• W2925138723 hasPrimaryLocation W29251387231 @default.
• W2925138723 hasRelatedWork W2034972911 @default.
• W2925138723 hasRelatedWork W2347219288 @default.
• W2925138723 hasRelatedWork W2358113059 @default.
• W2925138723 hasRelatedWork W2367573304 @default.
• W2925138723 hasRelatedWork W2370128569 @default.
• W2925138723 hasRelatedWork W2886748451 @default.
• W2925138723 hasRelatedWork W2907831342 @default.
• W2925138723 hasRelatedWork W3160516639 @default.
• W2925138723 hasRelatedWork W629107811 @default.

• next