FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2885756312> ?p ?o ?g. }

• W2885756312 endingPage "91" @default.
• W2885756312 startingPage "83" @default.
• W2885756312 abstract "Surrogate safety measures have been advocated as a complementary approach to study safety from a broader perspective than relying on crash data alone. This study proposes an approach to incorporate different surrogate safety measures in a unified framework for road safety estimation within the bivariate extreme value theory framework. The model structure, model specification, threshold selection method, and parameter estimation method of the bivariate threshold excess model are introduced. Two surrogate safety measures, post encroachment time (PET) and length proportion of merging (LPM), are chosen to characterize the severity of merging events on freeway entrance merging areas. Based on the field data collected along Highway 417 in the City of Ottawa, Ontario, Canada, the bivariate modelling methods with seven distribution functions are applied and compared, and the model with logistic distribution function is selected as the best model. The best bivariate models' estimation results are then evaluated by comparing them to their two marginal (univariate Generalized Pareto distribution) models. The results show that the bivariate models tend to generate crash estimates that are much closer to observed crashes than univariate models. A more important finding is that incorporating two surrogate safety measures into the bivariate models can significantly reduce the uncertainty of crash estimates. The efficiency of a bivariate model is not evidently better than either of its marginal models, but it is expected to be improved with data of a prolonged observation period. This study is also a step forward in the direction of developing multivariate safety hierarchy models, since models of the safety hierarchy have been predominantly univariate." @default.
• W2885756312 created "2018-08-22" @default.
• W2885756312 creator A5006127207 @default.
• W2885756312 creator A5034814455 @default.
• W2885756312 creator A5036535728 @default.
• W2885756312 creator A5040382641 @default.
• W2885756312 date "2018-11-01" @default.
• W2885756312 modified "2023-09-30" @default.
• W2885756312 title "Bivariate extreme value modeling for road safety estimation" @default.
• W2885756312 cites W1994886837 @default.
• W2885756312 cites W2022539795 @default.
• W2885756312 cites W2043236587 @default.
• W2885756312 cites W2050366510 @default.
• W2885756312 cites W2051979935 @default.
• W2885756312 cites W2052218905 @default.
• W2885756312 cites W2058959119 @default.
• W2885756312 cites W2062702018 @default.
• W2885756312 cites W2070965725 @default.
• W2885756312 cites W2076174373 @default.
• W2885756312 cites W2076251539 @default.
• W2885756312 cites W2087474363 @default.
• W2885756312 cites W2113506066 @default.
• W2885756312 cites W2142635246 @default.
• W2885756312 cites W2144733609 @default.
• W2885756312 cites W2146552899 @default.
• W2885756312 cites W2163731256 @default.
• W2885756312 cites W2326375124 @default.
• W2885756312 cites W2442535094 @default.
• W2885756312 cites W2464115403 @default.
• W2885756312 cites W2492272682 @default.
• W2885756312 cites W2520420456 @default.
• W2885756312 cites W2566031023 @default.
• W2885756312 cites W2594830965 @default.
• W2885756312 cites W2765486331 @default.
• W2885756312 doi "https://doi.org/10.1016/j.aap.2018.08.004" @default.
• W2885756312 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30098455" @default.
• W2885756312 hasPublicationYear "2018" @default.
• W2885756312 type Work @default.
• W2885756312 sameAs 2885756312 @default.
• W2885756312 citedByCount "59" @default.
• W2885756312 countsByYear W28857563122019 @default.
• W2885756312 countsByYear W28857563122020 @default.
• W2885756312 countsByYear W28857563122021 @default.
• W2885756312 countsByYear W28857563122022 @default.
• W2885756312 countsByYear W28857563122023 @default.
• W2885756312 crossrefType "journal-article" @default.
• W2885756312 hasAuthorship W2885756312A5006127207 @default.
• W2885756312 hasAuthorship W2885756312A5034814455 @default.
• W2885756312 hasAuthorship W2885756312A5036535728 @default.
• W2885756312 hasAuthorship W2885756312A5040382641 @default.
• W2885756312 hasConcept C105795698 @default.
• W2885756312 hasConcept C133514767 @default.
• W2885756312 hasConcept C147581598 @default.
• W2885756312 hasConcept C149782125 @default.
• W2885756312 hasConcept C161584116 @default.
• W2885756312 hasConcept C169707849 @default.
• W2885756312 hasConcept C183469790 @default.
• W2885756312 hasConcept C199163554 @default.
• W2885756312 hasConcept C199360897 @default.
• W2885756312 hasConcept C3017944768 @default.
• W2885756312 hasConcept C33923547 @default.
• W2885756312 hasConcept C41008148 @default.
• W2885756312 hasConcept C64341305 @default.
• W2885756312 hasConcept C71924100 @default.
• W2885756312 hasConcept C99454951 @default.
• W2885756312 hasConceptScore W2885756312C105795698 @default.
• W2885756312 hasConceptScore W2885756312C133514767 @default.
• W2885756312 hasConceptScore W2885756312C147581598 @default.
• W2885756312 hasConceptScore W2885756312C149782125 @default.
• W2885756312 hasConceptScore W2885756312C161584116 @default.
• W2885756312 hasConceptScore W2885756312C169707849 @default.
• W2885756312 hasConceptScore W2885756312C183469790 @default.
• W2885756312 hasConceptScore W2885756312C199163554 @default.
• W2885756312 hasConceptScore W2885756312C199360897 @default.
• W2885756312 hasConceptScore W2885756312C3017944768 @default.
• W2885756312 hasConceptScore W2885756312C33923547 @default.
• W2885756312 hasConceptScore W2885756312C41008148 @default.
• W2885756312 hasConceptScore W2885756312C64341305 @default.
• W2885756312 hasConceptScore W2885756312C71924100 @default.
• W2885756312 hasConceptScore W2885756312C99454951 @default.
• W2885756312 hasFunder F4320321001 @default.
• W2885756312 hasFunder F4320321543 @default.
• W2885756312 hasLocation W28857563121 @default.
• W2885756312 hasLocation W28857563122 @default.
• W2885756312 hasOpenAccess W2885756312 @default.
• W2885756312 hasPrimaryLocation W28857563121 @default.
• W2885756312 hasRelatedWork W1978035207 @default.
• W2885756312 hasRelatedWork W1987605925 @default.
• W2885756312 hasRelatedWork W2008103017 @default.
• W2885756312 hasRelatedWork W2066171676 @default.
• W2885756312 hasRelatedWork W2069890537 @default.
• W2885756312 hasRelatedWork W2508420332 @default.
• W2885756312 hasRelatedWork W2621623949 @default.
• W2885756312 hasRelatedWork W2901642642 @default.
• W2885756312 hasRelatedWork W3194984154 @default.
• W2885756312 hasRelatedWork W4255865839 @default.
• W2885756312 hasVolume "120" @default.
• W2885756312 isParatext "false" @default.

• next