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 ...

Verfasser: Saadi, Ismaïl
Mustafa, Ahmed Mohamed El Saeid
Teller, Jacques
Cools, Mario
Dokumenttyp: conference paper
Erscheinungsdatum: 2017
Verlag/Hrsg.: Elsevier B.V.
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