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Title: Network-wide on-line travel time estimation with inconsistent data from multiple sensor systems under network uncertainty
Authors: Shao, H 
Lam, WHK 
Sumalee, A 
Chen, A 
Issue Date: 2018
Source: Transportmetrica. A, Transport science, 2018, v. 14, no. 1-2, p. 110-129
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.
Keywords: Generalized least squares
Intelligent Transportation Systems
Off-line data
On-line data
Travel time estimation
Publisher: Taylor & Francis
Journal: Transportmetrica. A, Transport science 
ISSN: 2324-9935
EISSN: 2324-9943
DOI: 10.1080/23249935.2017.1323039
Rights: © 2017 Hong Kong Society for Transportation Studies Limited
This is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica A: Transport Science on 15 May 2017 (Published online), available at: http://www.tandfonline.com/10.1080/23249935.2017.1323039.
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