Matches in SemOpenAlex for { <https://semopenalex.org/work/W2942609132> ?p ?o ?g. }
Showing items 1 to 51 of
51
with 100 items per page.
- W2942609132 abstract "This paper identifies a necessity to evaluate the Meta features of vehicles which could be helpful in improving the vehicle driver's skill to prevent accidents and also evaluate the change in the quality of cars over passing time. This paper does an analysis of the vehicle data using supervised learning based linear regression model that is used as an estimator for Driver's Safety Metrics and Economic Driving Metrics. The data collected was obtained from fifteen different drivers over a span of one month which accumulated over 15000 data points. And the metrics that we have devised have potential application in automotive technology analysis for developing an advanced intelligent vehicles. Also, we have presented a system for performing the real-time experiment based on the OnBoard-Diagnosis version II (OBD-II) scanner data. Finally, we have analyzed and presented the parameter accuracy over 80% for the driver's safety solution in real-world scenario." @default.
- W2942609132 created "2019-05-09" @default.
- W2942609132 creator A5000848197 @default.
- W2942609132 creator A5025665490 @default.
- W2942609132 creator A5070801528 @default.
- W2942609132 date "2019-04-08" @default.
- W2942609132 modified "2023-09-25" @default.
- W2942609132 title "Machine learning based real-time vehicle data analysis for safe driving modeling" @default.
- W2942609132 cites W20858396 @default.
- W2942609132 doi "https://doi.org/10.1145/3297280.3297584" @default.
- W2942609132 hasPublicationYear "2019" @default.
- W2942609132 type Work @default.
- W2942609132 sameAs 2942609132 @default.
- W2942609132 citedByCount "5" @default.
- W2942609132 countsByYear W29426091322019 @default.
- W2942609132 countsByYear W29426091322020 @default.
- W2942609132 countsByYear W29426091322021 @default.
- W2942609132 countsByYear W29426091322022 @default.
- W2942609132 crossrefType "proceedings-article" @default.
- W2942609132 hasAuthorship W2942609132A5000848197 @default.
- W2942609132 hasAuthorship W2942609132A5025665490 @default.
- W2942609132 hasAuthorship W2942609132A5070801528 @default.
- W2942609132 hasConcept C119857082 @default.
- W2942609132 hasConcept C154945302 @default.
- W2942609132 hasConcept C41008148 @default.
- W2942609132 hasConcept C67186912 @default.
- W2942609132 hasConcept C77088390 @default.
- W2942609132 hasConcept C79403827 @default.
- W2942609132 hasConceptScore W2942609132C119857082 @default.
- W2942609132 hasConceptScore W2942609132C154945302 @default.
- W2942609132 hasConceptScore W2942609132C41008148 @default.
- W2942609132 hasConceptScore W2942609132C67186912 @default.
- W2942609132 hasConceptScore W2942609132C77088390 @default.
- W2942609132 hasConceptScore W2942609132C79403827 @default.
- W2942609132 hasLocation W29426091321 @default.
- W2942609132 hasOpenAccess W2942609132 @default.
- W2942609132 hasPrimaryLocation W29426091321 @default.
- W2942609132 hasRelatedWork W2961085424 @default.
- W2942609132 hasRelatedWork W3046775127 @default.
- W2942609132 hasRelatedWork W3107474891 @default.
- W2942609132 hasRelatedWork W3170094116 @default.
- W2942609132 hasRelatedWork W3209574120 @default.
- W2942609132 hasRelatedWork W4205958290 @default.
- W2942609132 hasRelatedWork W4286629047 @default.
- W2942609132 hasRelatedWork W4306321456 @default.
- W2942609132 hasRelatedWork W4306674287 @default.
- W2942609132 hasRelatedWork W4224009465 @default.
- W2942609132 isParatext "false" @default.
- W2942609132 isRetracted "false" @default.
- W2942609132 magId "2942609132" @default.
- W2942609132 workType "article" @default.