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Network-wide on-line travel time estimation with inconsistent data from multiple sensor systems under network uncertainty
Author(s)
Shao, Hu
Lam, William H.K.
Sumalee, Agachai
Chen, Anthony
Date Issued
January 2, 2018
Type
Article
Abstract
This 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.
Citation
Transportmetrica A Transport Science, 14(1-2), 110-129, 2018