Matches in SemOpenAlex for { <https://semopenalex.org/work/W4286580749> ?p ?o ?g. }
- W4286580749 endingPage "21776" @default.
- W4286580749 startingPage "21766" @default.
- W4286580749 abstract "This work focuses on evaluating the potential of variable speed limits (VSLs) in a synthetic urban network to improve both environmental sustainability and traffic performance. The traffic system is modeled using the microscopic traffic simulator SUMO, and a physical fuel consumption and NOx emission model is used to assess the vehicles’ energy efficiency. Speed limits are controlled through a nonlinear model predictive control (NMPC) approach, in which the traffic evolution and fuel consumption are respectively predicted with a macroscopic traffic model, namely the cell transmission model (CTM), and a pre-calibrated artificial neural network (ANN). The results reveal that in transient phases between different levels of congestion, the proposed eco-VSL controller is faster to decongest the network, resulting in an improvement of the environmental sustainability and the traffic performance both in the controlled network, and at its boundary roads." @default.
- W4286580749 created "2022-07-22" @default.
- W4286580749 creator A5009757730 @default.
- W4286580749 creator A5052054852 @default.
- W4286580749 creator A5058644490 @default.
- W4286580749 creator A5088648253 @default.
- W4286580749 date "2022-11-01" @default.
- W4286580749 modified "2023-10-13" @default.
- W4286580749 title "Analysis of the Impact of Variable Speed Limits on Environmental Sustainability and Traffic Performance in Urban Networks" @default.
- W4286580749 cites W1470377755 @default.
- W4286580749 cites W1631643809 @default.
- W4286580749 cites W1965455100 @default.
- W4286580749 cites W1966166193 @default.
- W4286580749 cites W1982179375 @default.
- W4286580749 cites W1995321116 @default.
- W4286580749 cites W1999454505 @default.
- W4286580749 cites W2001901081 @default.
- W4286580749 cites W2004373731 @default.
- W4286580749 cites W2005126631 @default.
- W4286580749 cites W2032668704 @default.
- W4286580749 cites W2037141248 @default.
- W4286580749 cites W2040976429 @default.
- W4286580749 cites W2044870794 @default.
- W4286580749 cites W2051434435 @default.
- W4286580749 cites W2106356011 @default.
- W4286580749 cites W2123202088 @default.
- W4286580749 cites W2123362463 @default.
- W4286580749 cites W2123631349 @default.
- W4286580749 cites W2157768697 @default.
- W4286580749 cites W2343458236 @default.
- W4286580749 cites W2346806992 @default.
- W4286580749 cites W2416262024 @default.
- W4286580749 cites W2563890101 @default.
- W4286580749 cites W2588964674 @default.
- W4286580749 cites W2755072788 @default.
- W4286580749 cites W2790005177 @default.
- W4286580749 cites W2792609710 @default.
- W4286580749 cites W2802055510 @default.
- W4286580749 cites W2807815329 @default.
- W4286580749 cites W2895068195 @default.
- W4286580749 cites W2903709398 @default.
- W4286580749 cites W2977107267 @default.
- W4286580749 cites W3046036688 @default.
- W4286580749 cites W3049073740 @default.
- W4286580749 cites W3120258512 @default.
- W4286580749 cites W4210769523 @default.
- W4286580749 cites W4362207754 @default.
- W4286580749 cites W2083256281 @default.
- W4286580749 doi "https://doi.org/10.1109/tits.2022.3192129" @default.
- W4286580749 hasPublicationYear "2022" @default.
- W4286580749 type Work @default.
- W4286580749 citedByCount "1" @default.
- W4286580749 crossrefType "journal-article" @default.
- W4286580749 hasAuthorship W4286580749A5009757730 @default.
- W4286580749 hasAuthorship W4286580749A5052054852 @default.
- W4286580749 hasAuthorship W4286580749A5058644490 @default.
- W4286580749 hasAuthorship W4286580749A5088648253 @default.
- W4286580749 hasBestOaLocation W42865807492 @default.
- W4286580749 hasConcept C111919701 @default.
- W4286580749 hasConcept C119599485 @default.
- W4286580749 hasConcept C127413603 @default.
- W4286580749 hasConcept C139417690 @default.
- W4286580749 hasConcept C154945302 @default.
- W4286580749 hasConcept C171146098 @default.
- W4286580749 hasConcept C176715033 @default.
- W4286580749 hasConcept C18903297 @default.
- W4286580749 hasConcept C203479927 @default.
- W4286580749 hasConcept C22212356 @default.
- W4286580749 hasConcept C2779888511 @default.
- W4286580749 hasConcept C2780165032 @default.
- W4286580749 hasConcept C2780799671 @default.
- W4286580749 hasConcept C41008148 @default.
- W4286580749 hasConcept C44154836 @default.
- W4286580749 hasConcept C45882903 @default.
- W4286580749 hasConcept C50644808 @default.
- W4286580749 hasConcept C6557445 @default.
- W4286580749 hasConcept C66204764 @default.
- W4286580749 hasConcept C79403827 @default.
- W4286580749 hasConcept C86803240 @default.
- W4286580749 hasConceptScore W4286580749C111919701 @default.
- W4286580749 hasConceptScore W4286580749C119599485 @default.
- W4286580749 hasConceptScore W4286580749C127413603 @default.
- W4286580749 hasConceptScore W4286580749C139417690 @default.
- W4286580749 hasConceptScore W4286580749C154945302 @default.
- W4286580749 hasConceptScore W4286580749C171146098 @default.
- W4286580749 hasConceptScore W4286580749C176715033 @default.
- W4286580749 hasConceptScore W4286580749C18903297 @default.
- W4286580749 hasConceptScore W4286580749C203479927 @default.
- W4286580749 hasConceptScore W4286580749C22212356 @default.
- W4286580749 hasConceptScore W4286580749C2779888511 @default.
- W4286580749 hasConceptScore W4286580749C2780165032 @default.
- W4286580749 hasConceptScore W4286580749C2780799671 @default.
- W4286580749 hasConceptScore W4286580749C41008148 @default.
- W4286580749 hasConceptScore W4286580749C44154836 @default.
- W4286580749 hasConceptScore W4286580749C45882903 @default.
- W4286580749 hasConceptScore W4286580749C50644808 @default.
- W4286580749 hasConceptScore W4286580749C6557445 @default.
- W4286580749 hasConceptScore W4286580749C66204764 @default.