Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022643633> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2022643633 endingPage "1555" @default.
- W2022643633 startingPage "1547" @default.
- W2022643633 abstract "Driver distraction detection and intervention are important for designing modern driver-assistance systems and for improving safety. The main research question of this paper is to investigate how the cumulative driver off-road glance duration can be controlled to reduce the probability of occurrences of crash and near-crash events. Based on the available data sets from the Virginia Tech Transportation Institute (VTTI) 100-car study, the conditional probability is calculated to study the chance of crash and near-crash events when the given cumulative off-road glance duration in 6 s has been reached. Different off-road eye-glance locations and traffic density levels are also evaluated. The results show that one linear relationship can be obtained between the cumulative off-road eye-glance duration in 6 s and the risk of occurrences of crash and near-crash events, which varies for different off-road eye-glance locations. In addition, the traffic density level is found to be one significant moderator to this linear relationship. Detailed comparisons are made for different traffic density levels, and one nonlinear equation is obtained to predict the probability of occurrences of crash and near-crash events by considering both cumulative off-road glance duration and traffic density levels." @default.
- W2022643633 created "2016-06-24" @default.
- W2022643633 creator A5027546563 @default.
- W2022643633 creator A5043554585 @default.
- W2022643633 creator A5061279239 @default.
- W2022643633 creator A5067106069 @default.
- W2022643633 creator A5085877797 @default.
- W2022643633 date "2013-09-01" @default.
- W2022643633 modified "2023-10-01" @default.
- W2022643633 title "Studying the Effects of Driver Distraction and Traffic Density on the Probability of Crash and Near-Crash Events in Naturalistic Driving Environment" @default.
- W2022643633 cites W1969162143 @default.
- W2022643633 cites W1985758238 @default.
- W2022643633 cites W1989805652 @default.
- W2022643633 cites W2003540033 @default.
- W2022643633 cites W2035384498 @default.
- W2022643633 cites W2052604480 @default.
- W2022643633 cites W2080941050 @default.
- W2022643633 cites W2091526988 @default.
- W2022643633 cites W2095589680 @default.
- W2022643633 cites W2106126246 @default.
- W2022643633 cites W2107169682 @default.
- W2022643633 cites W2108519533 @default.
- W2022643633 cites W2124269093 @default.
- W2022643633 cites W2133658999 @default.
- W2022643633 cites W2139367509 @default.
- W2022643633 cites W2150917813 @default.
- W2022643633 cites W2155175509 @default.
- W2022643633 cites W2166880842 @default.
- W2022643633 doi "https://doi.org/10.1109/tits.2013.2261988" @default.
- W2022643633 hasPublicationYear "2013" @default.
- W2022643633 type Work @default.
- W2022643633 sameAs 2022643633 @default.
- W2022643633 citedByCount "44" @default.
- W2022643633 countsByYear W20226436332013 @default.
- W2022643633 countsByYear W20226436332014 @default.
- W2022643633 countsByYear W20226436332015 @default.
- W2022643633 countsByYear W20226436332016 @default.
- W2022643633 countsByYear W20226436332017 @default.
- W2022643633 countsByYear W20226436332018 @default.
- W2022643633 countsByYear W20226436332019 @default.
- W2022643633 countsByYear W20226436332020 @default.
- W2022643633 countsByYear W20226436332021 @default.
- W2022643633 countsByYear W20226436332022 @default.
- W2022643633 countsByYear W20226436332023 @default.
- W2022643633 crossrefType "journal-article" @default.
- W2022643633 hasAuthorship W2022643633A5027546563 @default.
- W2022643633 hasAuthorship W2022643633A5043554585 @default.
- W2022643633 hasAuthorship W2022643633A5061279239 @default.
- W2022643633 hasAuthorship W2022643633A5067106069 @default.
- W2022643633 hasAuthorship W2022643633A5085877797 @default.
- W2022643633 hasConcept C127413603 @default.
- W2022643633 hasConcept C15744967 @default.
- W2022643633 hasConcept C171146098 @default.
- W2022643633 hasConcept C180747234 @default.
- W2022643633 hasConcept C183469790 @default.
- W2022643633 hasConcept C199360897 @default.
- W2022643633 hasConcept C22212356 @default.
- W2022643633 hasConcept C2776378700 @default.
- W2022643633 hasConcept C41008148 @default.
- W2022643633 hasConceptScore W2022643633C127413603 @default.
- W2022643633 hasConceptScore W2022643633C15744967 @default.
- W2022643633 hasConceptScore W2022643633C171146098 @default.
- W2022643633 hasConceptScore W2022643633C180747234 @default.
- W2022643633 hasConceptScore W2022643633C183469790 @default.
- W2022643633 hasConceptScore W2022643633C199360897 @default.
- W2022643633 hasConceptScore W2022643633C22212356 @default.
- W2022643633 hasConceptScore W2022643633C2776378700 @default.
- W2022643633 hasConceptScore W2022643633C41008148 @default.
- W2022643633 hasIssue "3" @default.
- W2022643633 hasLocation W20226436331 @default.
- W2022643633 hasOpenAccess W2022643633 @default.
- W2022643633 hasPrimaryLocation W20226436331 @default.
- W2022643633 hasRelatedWork W100847034 @default.
- W2022643633 hasRelatedWork W2087057957 @default.
- W2022643633 hasRelatedWork W2094150432 @default.
- W2022643633 hasRelatedWork W2095589680 @default.
- W2022643633 hasRelatedWork W2151553727 @default.
- W2022643633 hasRelatedWork W27472852 @default.
- W2022643633 hasRelatedWork W2899084033 @default.
- W2022643633 hasRelatedWork W2911048999 @default.
- W2022643633 hasRelatedWork W2967522233 @default.
- W2022643633 hasRelatedWork W2170800957 @default.
- W2022643633 hasVolume "14" @default.
- W2022643633 isParatext "false" @default.
- W2022643633 isRetracted "false" @default.
- W2022643633 magId "2022643633" @default.
- W2022643633 workType "article" @default.