Kusuma, A, Liu, R orcid.org/0000-0003-0627-3184 and Choudhury, C (2020) Modelling lane-changing mechanisms on motorway weaving sections. Transportmetrica B: Transport Dynamics, 8 (1). pp. 1-21. ISSN 2168-0566
Abstract
A motorway weaving section connects a pair of closely spaced entry- and exit-ramps, where intensive lane-changings of merging and diverging vehicles take place over a relatively short space. A detailed trajectory data reveal that a significant proportion of the lane changing at the weaving section exhibits group lane-changing behaviour, in the forms of a lane-changing platoon and simultaneous weaving behaviour. The acceptable gaps are different in group lane-changing and weaving, compared to a single isolated lane-changing. This paper proposes a random utility formulation with explicit representation of these different lane changing mechanisms. The model parameters are calibrated using Maximum Likelihood Estimation technique and individual vehicle trajectory data extracted from video recordings. There are significant differences in behavioural parameter values for lane changing mechanisms. In particular, the results suggest that the relative speed with respect to the current and target lane leaders have varying impacts on the gap acceptance behaviour.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 Hong Kong Society for Transportation Studies Limited. This is an author produced version of an article published in Transportmetrica B: Transport Dynamics. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Lane changing; weaving section; group behaviour; leader effect; random utility maximisation |
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) |
Funding Information: | Funder Grant number Royal Academy of Engineering No External Reference |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 Jan 2020 12:03 |
Last Modified: | 26 Dec 2020 01:38 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/21680566.2019.1703840 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155273 |