A bi-level Random Forest based approach for estimating O-D matrices: Preliminary results from the Belgium National Household Travel Survey
peer reviewed ; This paper presents a random forests (RF) based approach to estimate an origin-destination (O-D) matrix on the basis of a travel survey. The trips are predicted on a weekly basis to retain a maximum number of recorded trips for model calibration and validation. The flexibility of the procedure ensures an extension for further disaggregate estimates of O-D matrices. We adopt data stemming from the Belgium National Household Travel Survey as an input for estimating the O-D matrix, in contrast to conventional approaches that exploit traffic counts. Regarding the methodology, preli... Mehr ...
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Dokumenttyp: | conference paper |
Erscheinungsdatum: | 2017 |
Verlag/Hrsg.: |
Elsevier B.V.
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Schlagwörter: | Bagging / O-D matrix estimation / Random Forest / Random Subspace / Travel Survey / Business & economic sciences / Special economic topics (health / labor / transportation.) / Engineering / computing & technology / Civil engineering / Sciences économiques & de gestion / Domaines particuliers de l’économie (santé / travail / transport.) / Ingénierie / informatique & technologie / Ingénierie civile |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26592844 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://orbi.uliege.be/handle/2268/244340 |