Network-wide on-line travel time estimation with inconsistent data from multiple sensor systems under network uncertainty

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dc.contributor.authorShao, Hu
dc.contributor.authorLam, William H.K.
dc.contributor.authorSumalee, Agachai
dc.contributor.authorChen, Anthony
dc.date.accessioned2026-08-06T10:19:26Z
dc.date.available2026-08-06T10:19:26Z
dc.date.issued2018-01-02
dc.description.abstractThis paper proposes a new modeling approach for network-wide on-line travel time estimation with inconsistent data from multiple sensor systems. It makes full use of both the available data from multiple sensor systems (on-line data) and historical data (off-line data). The first- and second-order statistical properties of the on-line data are investigated together with the data inconsistency issue to estimate network-wide travel times. The proposed model is formulated as a generalized least squares problem with non-linear constraints. A solution algorithm based on the penalty function method is adopted to solve the proposed model, whose application is illustrated by numerical examples using a local road network in Hong Kong.
dc.identifier.citationTransportmetrica A Transport Science, 14(1-2), 110-129, 2018
dc.identifier.doi10.1080/23249935.2017.1323039
dc.identifier.issn23249935
dc.identifier.other2-s2.0-85019235588
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/8442
dc.sourceTransportmetrica A Transport Science
dc.subjectgeneralized least squares
dc.subjectIntelligent Transportation Systems
dc.subjectoff-line data
dc.subjecton-line data
dc.subjectTravel time estimation
dc.titleNetwork-wide on-line travel time estimation with inconsistent data from multiple sensor systems under network uncertainty
dc.typeArticle

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