Matches in SemOpenAlex for { <https://semopenalex.org/work/W2065455281> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2065455281 endingPage "58" @default.
- W2065455281 startingPage "50" @default.
- W2065455281 abstract "Advances in intelligent transportation systems have resulted in deployment of surveillance systems that automatically collect and store extensive networkwide traffic data. Dynamic traffic assignment (DTA) models have been developed for a variety of dynamic traffic management applications. They are designed to estimate and predict the evolution of congestion with detailed models and algorithms that capture travel demand and network supply and their complex interactions. The availability of rich time-varying traffic data spanning multiple days provides the opportunity to calibrate a DTA model's inputs and parameters offline so that its outputs reflect field conditions in future offline and online real-time applications. The state of the art of DTA model calibration is a sequential approach, with supply model calibration (assuming known demand inputs) followed by demand calibration with fixed supply parameters. An offline DTA model calibration methodology is presented for simultaneous estimation of all demand-and-supply inputs and parameters, with sensor data. A minimization formulation that can use any general traffic data and present scalable solution approaches for the complex, nonlinear, stochastic optimization problem is adopted. A case study with DynaMIT, a DTA model with traffic estimation and prediction capabilities, is used to demonstrate and validate the methodology. Archived sensor data and a network from Los Angeles, California, are used to demonstrate scalability. Results indicate that the simultaneous approach significantly outperforms the sequential state of the art in terms of modeling accuracy and computational efficiency." @default.
- W2065455281 created "2016-06-24" @default.
- W2065455281 creator A5009464945 @default.
- W2065455281 creator A5011980648 @default.
- W2065455281 creator A5029085275 @default.
- W2065455281 date "2007-01-01" @default.
- W2065455281 modified "2023-09-27" @default.
- W2065455281 title "Offline Calibration of Dynamic Traffic Assignment" @default.
- W2065455281 cites W1559321207 @default.
- W2065455281 cites W2021116817 @default.
- W2065455281 cites W2028893095 @default.
- W2065455281 cites W2053032400 @default.
- W2065455281 cites W2084561065 @default.
- W2065455281 cites W2128452997 @default.
- W2065455281 cites W2163918103 @default.
- W2065455281 doi "https://doi.org/10.3141/2003-07" @default.
- W2065455281 hasPublicationYear "2007" @default.
- W2065455281 type Work @default.
- W2065455281 sameAs 2065455281 @default.
- W2065455281 citedByCount "82" @default.
- W2065455281 countsByYear W20654552812012 @default.
- W2065455281 countsByYear W20654552812013 @default.
- W2065455281 countsByYear W20654552812014 @default.
- W2065455281 countsByYear W20654552812015 @default.
- W2065455281 countsByYear W20654552812016 @default.
- W2065455281 countsByYear W20654552812017 @default.
- W2065455281 countsByYear W20654552812018 @default.
- W2065455281 countsByYear W20654552812019 @default.
- W2065455281 countsByYear W20654552812020 @default.
- W2065455281 countsByYear W20654552812021 @default.
- W2065455281 countsByYear W20654552812022 @default.
- W2065455281 countsByYear W20654552812023 @default.
- W2065455281 crossrefType "journal-article" @default.
- W2065455281 hasAuthorship W2065455281A5009464945 @default.
- W2065455281 hasAuthorship W2065455281A5011980648 @default.
- W2065455281 hasAuthorship W2065455281A5029085275 @default.
- W2065455281 hasConcept C105339364 @default.
- W2065455281 hasConcept C105795698 @default.
- W2065455281 hasConcept C111919701 @default.
- W2065455281 hasConcept C124101348 @default.
- W2065455281 hasConcept C126255220 @default.
- W2065455281 hasConcept C127413603 @default.
- W2065455281 hasConcept C147764199 @default.
- W2065455281 hasConcept C165838908 @default.
- W2065455281 hasConcept C176715033 @default.
- W2065455281 hasConcept C199360897 @default.
- W2065455281 hasConcept C22212356 @default.
- W2065455281 hasConcept C33923547 @default.
- W2065455281 hasConcept C41008148 @default.
- W2065455281 hasConcept C44154836 @default.
- W2065455281 hasConcept C47796450 @default.
- W2065455281 hasConcept C48044578 @default.
- W2065455281 hasConcept C77088390 @default.
- W2065455281 hasConcept C79403827 @default.
- W2065455281 hasConceptScore W2065455281C105339364 @default.
- W2065455281 hasConceptScore W2065455281C105795698 @default.
- W2065455281 hasConceptScore W2065455281C111919701 @default.
- W2065455281 hasConceptScore W2065455281C124101348 @default.
- W2065455281 hasConceptScore W2065455281C126255220 @default.
- W2065455281 hasConceptScore W2065455281C127413603 @default.
- W2065455281 hasConceptScore W2065455281C147764199 @default.
- W2065455281 hasConceptScore W2065455281C165838908 @default.
- W2065455281 hasConceptScore W2065455281C176715033 @default.
- W2065455281 hasConceptScore W2065455281C199360897 @default.
- W2065455281 hasConceptScore W2065455281C22212356 @default.
- W2065455281 hasConceptScore W2065455281C33923547 @default.
- W2065455281 hasConceptScore W2065455281C41008148 @default.
- W2065455281 hasConceptScore W2065455281C44154836 @default.
- W2065455281 hasConceptScore W2065455281C47796450 @default.
- W2065455281 hasConceptScore W2065455281C48044578 @default.
- W2065455281 hasConceptScore W2065455281C77088390 @default.
- W2065455281 hasConceptScore W2065455281C79403827 @default.
- W2065455281 hasIssue "1" @default.
- W2065455281 hasLocation W20654552811 @default.
- W2065455281 hasOpenAccess W2065455281 @default.
- W2065455281 hasPrimaryLocation W20654552811 @default.
- W2065455281 hasRelatedWork W1525643724 @default.
- W2065455281 hasRelatedWork W2025622092 @default.
- W2065455281 hasRelatedWork W2067938758 @default.
- W2065455281 hasRelatedWork W2302028273 @default.
- W2065455281 hasRelatedWork W2364921833 @default.
- W2065455281 hasRelatedWork W2382623646 @default.
- W2065455281 hasRelatedWork W3087771547 @default.
- W2065455281 hasRelatedWork W4205621548 @default.
- W2065455281 hasRelatedWork W4304843054 @default.
- W2065455281 hasRelatedWork W633639935 @default.
- W2065455281 hasVolume "2003" @default.
- W2065455281 isParatext "false" @default.
- W2065455281 isRetracted "false" @default.
- W2065455281 magId "2065455281" @default.
- W2065455281 workType "article" @default.