Matches in UGent Biblio for { <https://biblio.ugent.be/publication/1993807#aggregation> ?p ?o. }
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- aggregation classification "C1".
- aggregation creator person.
- aggregation creator person.
- aggregation date "2011".
- aggregation format "application/pdf".
- aggregation hasFormat 1993807.bibtex.
- aggregation hasFormat 1993807.csv.
- aggregation hasFormat 1993807.dc.
- aggregation hasFormat 1993807.didl.
- aggregation hasFormat 1993807.doc.
- aggregation hasFormat 1993807.json.
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- aggregation hasFormat 1993807.mods.
- aggregation hasFormat 1993807.rdf.
- aggregation hasFormat 1993807.ris.
- aggregation hasFormat 1993807.txt.
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- aggregation hasFormat 1993807.yaml.
- aggregation isPartOf urn:isbn:9781424492459.
- aggregation language "eng".
- aggregation publisher "IEEE".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Particle filter state estimator for large urban networks".
- aggregation abstract "This paper applies a particle filter (PF) state estimator to urban traffic networks. The traffic network consists of signalized intersections, the roads that link these intersections, and sensors that detect the passage time of vehicles. The traffic state X(t) specifies at each time time t the state of the traffic lights, the queue sizes at the intersections, and the location and size of all the platoons of vehicles inside the system. The basic entity of our model is a platoon of vehicles that travel close together at approximately the same speed. This leads to a discrete event simulation model that is much faster than microscopic models representing individual vehicles. Hence it is possible to execute many random simulation runs in parallel. A particle filter (PF) assigns weights to each of these simulation runs, according to how well they explain the observed sensor signals. The PF thus generates estimates at each time t of the location of the platoons, and more importantly the queue size at each intersection. These estimates can be used for controlling the optimal switching times of the traffic light.".
- aggregation authorList BK184950.
- aggregation endPage "380".
- aggregation startPage "374".
- aggregation aggregates 1995296.
- aggregation isDescribedBy 1993807.
- aggregation similarTo LU-1993807.