Nantes, A, Ngoduy, D orcid.org/0000-0002-0446-5636, Miska, M et al. (1 more author) (2015) Probabilistic travel time progression and its application to automatic vehicle identification data. Transportation Research Part B: Methodological, 81 (1). pp. 131-145. ISSN 0191-2615
Abstract
Travel time has been identified as an important variable to evaluate the performance of a transportation system. Based on the travel time prediction, road users can make their optimal decision in choosing route and departure time. In order to utilise adequately the advanced data collection methods that provide real-time different types of information, this paper is aimed at a novel approach to the estimation of long roadway travel times, using Automatic Vehicle Identification (AVI) technology. Since the long roads contain a large number of scanners, the AVI sample size tends to reduce and, as such, computing the distribution for the total road travel time becomes difficult. In this work, we introduce a probabilistic framework that extends the deterministic travel time progression method to dependent random variables and enables the off-line estimation of road travel time distributions. In the proposed method, the accuracy of the estimation does not depend on the size of the sample over the entire corridor, but only on the amount of historical data that is available for each link. In practice, the system is also robust to small link samples and can be used to detect outliers within the AVI data.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Elsevier Ltd. This is an author produced version of a paper published in Transportation Research Part B: Methodological. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Off-line travel time estimation; Long corridor; Automatic Vehicle Identification (AVI); Data impoverishment problem; Probabilistic travel time progression |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Aug 2016 15:46 |
Last Modified: | 14 Apr 2017 04:54 |
Published Version: | http://dx.doi.org/10.1016/j.trb.2015.09.001 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trb.2015.09.001 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:100717 |