Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210613793> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4210613793 endingPage "14" @default.
- W4210613793 startingPage "1" @default.
- W4210613793 abstract "Studying the time interval duration between the first accident and the second accident caused by it can provide decision makers with valuable information on how to effectively deal with high-risk second accidents. This paper is aimed to explore the potential influencing factors of the interval duration between the two accidents and predict it. First, the spatiotemporal definition method is applied to identify the cascaded first accident and the second accident. Then, on the basis of using Kaiser-Meyer-Olkin (KMO) measure and Bartlett’s sphere test statistics to ensure the applicability of the data to the factor analysis method, the explanatory variables that can significantly affect the interval duration are obtained through the factor analysis method. Finally, the random forest model (RF), which combines the advantages of machine learning methods, is employed to predict the duration of the interval. Traffic accident data set collected in Los Angeles city from February 2016 to June 2020 is used to validate prediction performance in this study. Bayesian method is applied to optimize the hyperparameters in the RF, while three evaluation indicators, including the Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE), are used to estimate the prediction effect. The test results and comparative experiments confirm that RF is able to predict the interval well and has better prediction performance. This is of great significance for the prediction of the duration of the interval between one accident and the second accident." @default.
- W4210613793 created "2022-02-08" @default.
- W4210613793 creator A5028977876 @default.
- W4210613793 creator A5049746775 @default.
- W4210613793 creator A5059365387 @default.
- W4210613793 creator A5077763192 @default.
- W4210613793 date "2022-02-07" @default.
- W4210613793 modified "2023-10-18" @default.
- W4210613793 title "Analysis and Prediction of the Interval Duration between the First and Second Accidents considering the Spatiotemporal Threshold" @default.
- W4210613793 cites W1964887383 @default.
- W4210613793 cites W1979314379 @default.
- W4210613793 cites W1988457333 @default.
- W4210613793 cites W1996695148 @default.
- W4210613793 cites W2011411842 @default.
- W4210613793 cites W2024219904 @default.
- W4210613793 cites W2043833161 @default.
- W4210613793 cites W2050641483 @default.
- W4210613793 cites W2069260283 @default.
- W4210613793 cites W2074001858 @default.
- W4210613793 cites W2083386008 @default.
- W4210613793 cites W2095769804 @default.
- W4210613793 cites W2777191153 @default.
- W4210613793 cites W2792180719 @default.
- W4210613793 cites W2800228336 @default.
- W4210613793 cites W2909580925 @default.
- W4210613793 cites W2911964244 @default.
- W4210613793 cites W2960808800 @default.
- W4210613793 cites W3000657974 @default.
- W4210613793 cites W3023396981 @default.
- W4210613793 cites W3031178486 @default.
- W4210613793 cites W3039086578 @default.
- W4210613793 cites W3047664878 @default.
- W4210613793 cites W3177279312 @default.
- W4210613793 doi "https://doi.org/10.1155/2022/6312139" @default.
- W4210613793 hasPublicationYear "2022" @default.
- W4210613793 type Work @default.
- W4210613793 citedByCount "0" @default.
- W4210613793 crossrefType "journal-article" @default.
- W4210613793 hasAuthorship W4210613793A5028977876 @default.
- W4210613793 hasAuthorship W4210613793A5049746775 @default.
- W4210613793 hasAuthorship W4210613793A5059365387 @default.
- W4210613793 hasAuthorship W4210613793A5077763192 @default.
- W4210613793 hasBestOaLocation W42106137931 @default.
- W4210613793 hasConcept C103402496 @default.
- W4210613793 hasConcept C105795698 @default.
- W4210613793 hasConcept C111472728 @default.
- W4210613793 hasConcept C112758219 @default.
- W4210613793 hasConcept C114614502 @default.
- W4210613793 hasConcept C124952713 @default.
- W4210613793 hasConcept C138885662 @default.
- W4210613793 hasConcept C139945424 @default.
- W4210613793 hasConcept C142362112 @default.
- W4210613793 hasConcept C154945302 @default.
- W4210613793 hasConcept C2778067643 @default.
- W4210613793 hasConcept C2780289543 @default.
- W4210613793 hasConcept C33923547 @default.
- W4210613793 hasConcept C41008148 @default.
- W4210613793 hasConcept C44249647 @default.
- W4210613793 hasConcept C8642999 @default.
- W4210613793 hasConceptScore W4210613793C103402496 @default.
- W4210613793 hasConceptScore W4210613793C105795698 @default.
- W4210613793 hasConceptScore W4210613793C111472728 @default.
- W4210613793 hasConceptScore W4210613793C112758219 @default.
- W4210613793 hasConceptScore W4210613793C114614502 @default.
- W4210613793 hasConceptScore W4210613793C124952713 @default.
- W4210613793 hasConceptScore W4210613793C138885662 @default.
- W4210613793 hasConceptScore W4210613793C139945424 @default.
- W4210613793 hasConceptScore W4210613793C142362112 @default.
- W4210613793 hasConceptScore W4210613793C154945302 @default.
- W4210613793 hasConceptScore W4210613793C2778067643 @default.
- W4210613793 hasConceptScore W4210613793C2780289543 @default.
- W4210613793 hasConceptScore W4210613793C33923547 @default.
- W4210613793 hasConceptScore W4210613793C41008148 @default.
- W4210613793 hasConceptScore W4210613793C44249647 @default.
- W4210613793 hasConceptScore W4210613793C8642999 @default.
- W4210613793 hasFunder F4320335888 @default.
- W4210613793 hasLocation W42106137931 @default.
- W4210613793 hasLocation W42106137932 @default.
- W4210613793 hasOpenAccess W4210613793 @default.
- W4210613793 hasPrimaryLocation W42106137931 @default.
- W4210613793 hasRelatedWork W1592318356 @default.
- W4210613793 hasRelatedWork W198099331 @default.
- W4210613793 hasRelatedWork W2044287270 @default.
- W4210613793 hasRelatedWork W2512013138 @default.
- W4210613793 hasRelatedWork W3187359107 @default.
- W4210613793 hasRelatedWork W4205265935 @default.
- W4210613793 hasRelatedWork W4210616617 @default.
- W4210613793 hasRelatedWork W4252172446 @default.
- W4210613793 hasRelatedWork W4293118265 @default.
- W4210613793 hasRelatedWork W4308885088 @default.
- W4210613793 hasVolume "2022" @default.
- W4210613793 isParatext "false" @default.
- W4210613793 isRetracted "false" @default.
- W4210613793 workType "article" @default.