Matches in SemOpenAlex for { <https://semopenalex.org/work/W2074936023> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2074936023 endingPage "196" @default.
- W2074936023 startingPage "184" @default.
- W2074936023 abstract "Traffic speed and length-based vehicle classification data are critical inputs for traffic operations, pavement design and maintenance, and transportation planning. However, they cannot be measured directly by single-loop detectors, the most widely deployed type of traffic sensor in the existing roadway infrastructure. In this study, a Gaussian mixture model (GMM)-based approach is developed to estimate more accurate traffic speeds and classified vehicle volumes using single-loop outputs. The estimation procedure consists of multiple iterations of parameter correction and validation. After the GMM is established to empirically model vehicle on-times measured by single-loop detectors, the optimal solution can be initially sought to separate length-based vehicle volume data. Based on the on-time of the separated short vehicles from the GMM, an iterative process will be conducted to improve traffic speed and classified volume estimation until the estimation results become statistically stable and converge. This method is straightforward and computationally efficient. The effectiveness of the proposed approach was examined using data collected from several loop stations on Interstate 90 in the Seattle area. The traffic volume data for three vehicle classes are categorized based on the proposed method. The test results show the proposed GMM approach outperforms the previous models, including conventional constant g-factor method, sequence method, and moving median method, and produces more reliable, accurate estimates of traffic speeds and classified vehicle volumes under various traffic conditions." @default.
- W2074936023 created "2016-06-24" @default.
- W2074936023 creator A5008718555 @default.
- W2074936023 creator A5012268687 @default.
- W2074936023 creator A5029018923 @default.
- W2074936023 creator A5040214137 @default.
- W2074936023 date "2012-06-29" @default.
- W2074936023 modified "2023-10-18" @default.
- W2074936023 title "Gaussian Mixture Model-Based Speed Estimation and Vehicle Classification Using Single-Loop Measurements" @default.
- W2074936023 cites W1969712973 @default.
- W2074936023 cites W1977647505 @default.
- W2074936023 cites W1998210776 @default.
- W2074936023 cites W2002543748 @default.
- W2074936023 cites W2003269449 @default.
- W2074936023 cites W2009675979 @default.
- W2074936023 cites W2011474891 @default.
- W2074936023 cites W2015953248 @default.
- W2074936023 cites W2021137110 @default.
- W2074936023 cites W2029103942 @default.
- W2074936023 cites W2065231416 @default.
- W2074936023 cites W2084629194 @default.
- W2074936023 cites W2152972560 @default.
- W2074936023 cites W2163192150 @default.
- W2074936023 cites W2165880886 @default.
- W2074936023 cites W2488678869 @default.
- W2074936023 cites W4236190184 @default.
- W2074936023 cites W2031943083 @default.
- W2074936023 doi "https://doi.org/10.1080/15472450.2012.706196" @default.
- W2074936023 hasPublicationYear "2012" @default.
- W2074936023 type Work @default.
- W2074936023 sameAs 2074936023 @default.
- W2074936023 citedByCount "26" @default.
- W2074936023 countsByYear W20749360232013 @default.
- W2074936023 countsByYear W20749360232014 @default.
- W2074936023 countsByYear W20749360232015 @default.
- W2074936023 countsByYear W20749360232016 @default.
- W2074936023 countsByYear W20749360232017 @default.
- W2074936023 countsByYear W20749360232018 @default.
- W2074936023 countsByYear W20749360232019 @default.
- W2074936023 countsByYear W20749360232020 @default.
- W2074936023 countsByYear W20749360232021 @default.
- W2074936023 countsByYear W20749360232022 @default.
- W2074936023 countsByYear W20749360232023 @default.
- W2074936023 crossrefType "journal-article" @default.
- W2074936023 hasAuthorship W2074936023A5008718555 @default.
- W2074936023 hasAuthorship W2074936023A5012268687 @default.
- W2074936023 hasAuthorship W2074936023A5029018923 @default.
- W2074936023 hasAuthorship W2074936023A5040214137 @default.
- W2074936023 hasConcept C111919701 @default.
- W2074936023 hasConcept C11413529 @default.
- W2074936023 hasConcept C121332964 @default.
- W2074936023 hasConcept C154945302 @default.
- W2074936023 hasConcept C163716315 @default.
- W2074936023 hasConcept C20556612 @default.
- W2074936023 hasConcept C41008148 @default.
- W2074936023 hasConcept C61224824 @default.
- W2074936023 hasConcept C61326573 @default.
- W2074936023 hasConcept C62520636 @default.
- W2074936023 hasConcept C76155785 @default.
- W2074936023 hasConcept C8406815 @default.
- W2074936023 hasConcept C94915269 @default.
- W2074936023 hasConcept C98045186 @default.
- W2074936023 hasConceptScore W2074936023C111919701 @default.
- W2074936023 hasConceptScore W2074936023C11413529 @default.
- W2074936023 hasConceptScore W2074936023C121332964 @default.
- W2074936023 hasConceptScore W2074936023C154945302 @default.
- W2074936023 hasConceptScore W2074936023C163716315 @default.
- W2074936023 hasConceptScore W2074936023C20556612 @default.
- W2074936023 hasConceptScore W2074936023C41008148 @default.
- W2074936023 hasConceptScore W2074936023C61224824 @default.
- W2074936023 hasConceptScore W2074936023C61326573 @default.
- W2074936023 hasConceptScore W2074936023C62520636 @default.
- W2074936023 hasConceptScore W2074936023C76155785 @default.
- W2074936023 hasConceptScore W2074936023C8406815 @default.
- W2074936023 hasConceptScore W2074936023C94915269 @default.
- W2074936023 hasConceptScore W2074936023C98045186 @default.
- W2074936023 hasIssue "4" @default.
- W2074936023 hasLocation W20749360231 @default.
- W2074936023 hasOpenAccess W2074936023 @default.
- W2074936023 hasPrimaryLocation W20749360231 @default.
- W2074936023 hasRelatedWork W1518942780 @default.
- W2074936023 hasRelatedWork W2062883609 @default.
- W2074936023 hasRelatedWork W2099149927 @default.
- W2074936023 hasRelatedWork W2133285333 @default.
- W2074936023 hasRelatedWork W2147823694 @default.
- W2074936023 hasRelatedWork W2390582229 @default.
- W2074936023 hasRelatedWork W2533242858 @default.
- W2074936023 hasRelatedWork W2897453949 @default.
- W2074936023 hasRelatedWork W3162483426 @default.
- W2074936023 hasRelatedWork W4324355716 @default.
- W2074936023 hasVolume "16" @default.
- W2074936023 isParatext "false" @default.
- W2074936023 isRetracted "false" @default.
- W2074936023 magId "2074936023" @default.
- W2074936023 workType "article" @default.