FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2600563890> ?p ?o ?g. }

• W2600563890 endingPage "396" @default.
• W2600563890 startingPage "379" @default.
• W2600563890 abstract "Abstract A Bayesian network model is developed, in which all the items or safety related elements encountered when traveling along a highway or road, such as terrain, infrastructure, light signals, speed limit signs, intersections, roundabouts, curves, tunnels, viaducts, and any other safety relevant elements are reproduced. Since human error is the main cause of accidents, special attention is given to modeling the driver behavior variables (driver's tiredness and attention) and to how they evolve with time or travel length. The sets of conditional probabilities of variables given their parents, which permit to quantify the Bayesian network joint probability, are obtained and written as closed formulas, which allow us to identify the particular contribution of each variable to safety and facilitate the computer implementation of the proposed method. In particular, the probabilities of incidents affecting safety are calculated so that a probabilistic safety assessment of the road can be done and its most critical elements can be identified and sorted by importance. This permits the improvement of road safety making adequate corrections to save time and money in the maintenance program by concentrating on the most critical elements and effective investments. Some real examples of a Spanish highway and a conventional road are provided to illustrate the proposed methodology and show its advantages and performance." @default.
• W2600563890 created "2017-04-07" @default.
• W2600563890 creator A5022042022 @default.
• W2600563890 creator A5029246558 @default.
• W2600563890 creator A5033552068 @default.
• W2600563890 creator A5062466000 @default.
• W2600563890 date "2017-03-23" @default.
• W2600563890 modified "2023-10-16" @default.
• W2600563890 title "Highway and Road Probabilistic Safety Assessment Based on Bayesian Network Models" @default.
• W2600563890 cites W1502949418 @default.
• W2600563890 cites W1752405017 @default.
• W2600563890 cites W1802911519 @default.
• W2600563890 cites W1809885800 @default.
• W2600563890 cites W1890021116 @default.
• W2600563890 cites W1914282213 @default.
• W2600563890 cites W1956240895 @default.
• W2600563890 cites W1976102130 @default.
• W2600563890 cites W2005711104 @default.
• W2600563890 cites W2013530697 @default.
• W2600563890 cites W2043517185 @default.
• W2600563890 cites W2070546903 @default.
• W2600563890 cites W2079775093 @default.
• W2600563890 cites W2099816914 @default.
• W2600563890 cites W2127248997 @default.
• W2600563890 cites W2167173838 @default.
• W2600563890 cites W2287938360 @default.
• W2600563890 cites W2338466950 @default.
• W2600563890 cites W2500086467 @default.
• W2600563890 doi "https://doi.org/10.1111/mice.12248" @default.
• W2600563890 hasPublicationYear "2017" @default.
• W2600563890 type Work @default.
• W2600563890 sameAs 2600563890 @default.
• W2600563890 citedByCount "26" @default.
• W2600563890 countsByYear W26005638902017 @default.
• W2600563890 countsByYear W26005638902018 @default.
• W2600563890 countsByYear W26005638902019 @default.
• W2600563890 countsByYear W26005638902020 @default.
• W2600563890 countsByYear W26005638902021 @default.
• W2600563890 countsByYear W26005638902022 @default.
• W2600563890 countsByYear W26005638902023 @default.
• W2600563890 crossrefType "journal-article" @default.
• W2600563890 hasAuthorship W2600563890A5022042022 @default.
• W2600563890 hasAuthorship W2600563890A5029246558 @default.
• W2600563890 hasAuthorship W2600563890A5033552068 @default.
• W2600563890 hasAuthorship W2600563890A5062466000 @default.
• W2600563890 hasConcept C105795698 @default.
• W2600563890 hasConcept C107673813 @default.
• W2600563890 hasConcept C119857082 @default.
• W2600563890 hasConcept C127413603 @default.
• W2600563890 hasConcept C134306372 @default.
• W2600563890 hasConcept C154945302 @default.
• W2600563890 hasConcept C161840515 @default.
• W2600563890 hasConcept C182365436 @default.
• W2600563890 hasConcept C200601418 @default.
• W2600563890 hasConcept C205649164 @default.
• W2600563890 hasConcept C22212356 @default.
• W2600563890 hasConcept C2780210587 @default.
• W2600563890 hasConcept C33724603 @default.
• W2600563890 hasConcept C33923547 @default.
• W2600563890 hasConcept C41008148 @default.
• W2600563890 hasConcept C44492722 @default.
• W2600563890 hasConcept C49937458 @default.
• W2600563890 hasConcept C58640448 @default.
• W2600563890 hasConcept C94279714 @default.
• W2600563890 hasConceptScore W2600563890C105795698 @default.
• W2600563890 hasConceptScore W2600563890C107673813 @default.
• W2600563890 hasConceptScore W2600563890C119857082 @default.
• W2600563890 hasConceptScore W2600563890C127413603 @default.
• W2600563890 hasConceptScore W2600563890C134306372 @default.
• W2600563890 hasConceptScore W2600563890C154945302 @default.
• W2600563890 hasConceptScore W2600563890C161840515 @default.
• W2600563890 hasConceptScore W2600563890C182365436 @default.
• W2600563890 hasConceptScore W2600563890C200601418 @default.
• W2600563890 hasConceptScore W2600563890C205649164 @default.
• W2600563890 hasConceptScore W2600563890C22212356 @default.
• W2600563890 hasConceptScore W2600563890C2780210587 @default.
• W2600563890 hasConceptScore W2600563890C33724603 @default.
• W2600563890 hasConceptScore W2600563890C33923547 @default.
• W2600563890 hasConceptScore W2600563890C41008148 @default.
• W2600563890 hasConceptScore W2600563890C44492722 @default.
• W2600563890 hasConceptScore W2600563890C49937458 @default.
• W2600563890 hasConceptScore W2600563890C58640448 @default.
• W2600563890 hasConceptScore W2600563890C94279714 @default.
• W2600563890 hasIssue "5" @default.
• W2600563890 hasLocation W26005638901 @default.
• W2600563890 hasOpenAccess W2600563890 @default.
• W2600563890 hasPrimaryLocation W26005638901 @default.
• W2600563890 hasRelatedWork W2049542990 @default.
• W2600563890 hasRelatedWork W2132754500 @default.
• W2600563890 hasRelatedWork W2137256417 @default.
• W2600563890 hasRelatedWork W2365680718 @default.
• W2600563890 hasRelatedWork W3026737558 @default.
• W2600563890 hasRelatedWork W4234586272 @default.
• W2600563890 hasRelatedWork W4281731074 @default.
• W2600563890 hasRelatedWork W4285084075 @default.
• W2600563890 hasRelatedWork W4322208577 @default.
• W2600563890 hasRelatedWork W4366608229 @default.
• W2600563890 hasVolume "32" @default.

• next