Matches in SemOpenAlex for { <https://semopenalex.org/work/W3148449084> ?p ?o ?g. }
- W3148449084 endingPage "951" @default.
- W3148449084 startingPage "939" @default.
- W3148449084 abstract "Aiming at operating effectively future traffic systems, we propose here a novel methodology for integrated lane-changing and ramp metering control that exploits the presence of connected vehicles. In particular, we assume that a percentage of vehicles can receive and implement specific control tasks (e.g., lane-changing commands), while ramp metering is available via an infrastructure-based system or enabled by connected vehicles. The proposed approach is designed to robustly maximise the throughput at motorway bottlenecks employing a feedback controller, formulated as a Linear Quadratic Integral regulator, which is based on a simplified linear time invariant traffic flow model. We also present an extremum seeking algorithm to compute the optimal set-points used in the feedback controller, employing only the measurement of a cost that is representative of the achieved traffic conditions. The method is evaluated via simulation experiments, performed on a first-order, multi-lane, macroscopic traffic flow model, also featuring the capacity drop phenomenon, which allows to demonstrate the effectiveness of the developed methodology and to highlight the improvement in terms of the generated congestion." @default.
- W3148449084 created "2021-04-13" @default.
- W3148449084 creator A5029324196 @default.
- W3148449084 creator A5043731672 @default.
- W3148449084 creator A5071405020 @default.
- W3148449084 date "2022-02-01" @default.
- W3148449084 modified "2023-10-13" @default.
- W3148449084 title "Feedback-Based Ramp Metering and Lane-Changing Control With Connected and Automated Vehicles" @default.
- W3148449084 cites W1604430735 @default.
- W3148449084 cites W1971967146 @default.
- W3148449084 cites W1976975617 @default.
- W3148449084 cites W1989486490 @default.
- W3148449084 cites W1989524368 @default.
- W3148449084 cites W2005098683 @default.
- W3148449084 cites W2014847204 @default.
- W3148449084 cites W2022706483 @default.
- W3148449084 cites W2028372384 @default.
- W3148449084 cites W2030134241 @default.
- W3148449084 cites W2034871357 @default.
- W3148449084 cites W2043388587 @default.
- W3148449084 cites W2046899724 @default.
- W3148449084 cites W2056986241 @default.
- W3148449084 cites W2081559824 @default.
- W3148449084 cites W2083659918 @default.
- W3148449084 cites W2089049749 @default.
- W3148449084 cites W2097354308 @default.
- W3148449084 cites W2102650063 @default.
- W3148449084 cites W2133571645 @default.
- W3148449084 cites W2138907112 @default.
- W3148449084 cites W2139410611 @default.
- W3148449084 cites W2139728973 @default.
- W3148449084 cites W2140776319 @default.
- W3148449084 cites W2144488633 @default.
- W3148449084 cites W2153409886 @default.
- W3148449084 cites W2153553728 @default.
- W3148449084 cites W2154271150 @default.
- W3148449084 cites W2169991130 @default.
- W3148449084 cites W2184567929 @default.
- W3148449084 cites W2196253079 @default.
- W3148449084 cites W2484646121 @default.
- W3148449084 cites W2548722511 @default.
- W3148449084 cites W2565041966 @default.
- W3148449084 cites W2725858708 @default.
- W3148449084 cites W2760974726 @default.
- W3148449084 cites W2766693351 @default.
- W3148449084 cites W2767828695 @default.
- W3148449084 cites W2771696402 @default.
- W3148449084 cites W2777429263 @default.
- W3148449084 cites W2796909983 @default.
- W3148449084 cites W2884690226 @default.
- W3148449084 cites W2943878191 @default.
- W3148449084 cites W2969113792 @default.
- W3148449084 cites W3019270968 @default.
- W3148449084 cites W4300443332 @default.
- W3148449084 cites W622819552 @default.
- W3148449084 cites W790961892 @default.
- W3148449084 doi "https://doi.org/10.1109/tits.2020.3018873" @default.
- W3148449084 hasPublicationYear "2022" @default.
- W3148449084 type Work @default.
- W3148449084 sameAs 3148449084 @default.
- W3148449084 citedByCount "21" @default.
- W3148449084 countsByYear W31484490842020 @default.
- W3148449084 countsByYear W31484490842021 @default.
- W3148449084 countsByYear W31484490842022 @default.
- W3148449084 countsByYear W31484490842023 @default.
- W3148449084 crossrefType "journal-article" @default.
- W3148449084 hasAuthorship W3148449084A5029324196 @default.
- W3148449084 hasAuthorship W3148449084A5043731672 @default.
- W3148449084 hasAuthorship W3148449084A5071405020 @default.
- W3148449084 hasBestOaLocation W31484490841 @default.
- W3148449084 hasConcept C127413603 @default.
- W3148449084 hasConcept C133731056 @default.
- W3148449084 hasConcept C154945302 @default.
- W3148449084 hasConcept C157764524 @default.
- W3148449084 hasConcept C165696696 @default.
- W3148449084 hasConcept C171146098 @default.
- W3148449084 hasConcept C203479927 @default.
- W3148449084 hasConcept C207512268 @default.
- W3148449084 hasConcept C22212356 @default.
- W3148449084 hasConcept C2775924081 @default.
- W3148449084 hasConcept C2779888511 @default.
- W3148449084 hasConcept C30905978 @default.
- W3148449084 hasConcept C31258907 @default.
- W3148449084 hasConcept C38652104 @default.
- W3148449084 hasConcept C41008148 @default.
- W3148449084 hasConcept C47446073 @default.
- W3148449084 hasConcept C555944384 @default.
- W3148449084 hasConcept C6557445 @default.
- W3148449084 hasConcept C76155785 @default.
- W3148449084 hasConcept C78519656 @default.
- W3148449084 hasConcept C79487989 @default.
- W3148449084 hasConcept C86803240 @default.
- W3148449084 hasConcept C98779006 @default.
- W3148449084 hasConceptScore W3148449084C127413603 @default.
- W3148449084 hasConceptScore W3148449084C133731056 @default.
- W3148449084 hasConceptScore W3148449084C154945302 @default.
- W3148449084 hasConceptScore W3148449084C157764524 @default.
- W3148449084 hasConceptScore W3148449084C165696696 @default.