Narayana, A. and Balijepalli, C. orcid.org/0000-0002-8159-1513 (2023) Models for quick evaluation of displaced right turn intersection performance. Transportation Planning and Technology. ISSN 0308-1060
Abstract
Alternative intersection designs can provide cost-effective solutions to overcome the proven inadequacy of conventional approaches. Several studies have assessed the performance of alternative designs against a range of traffic volumes and geometric design aspects, each in isolation, but a model which can factor in multiple variables into the analysis is the identified research gap. The displaced left-turn – DLT intersection design was found to be the most versatile, efficient, and transferable to locations elsewhere in the world. In this paper, a displaced right-turn intersection – a variant of DLT, was modelled for a range of traffic flows and design conditions. Regression models were developed for Practical Reserve Capacity and Delay as dependent variables with traffic flow, proportion of right-turning traffic, signal cycle time and length of displaced turn as explanatory variables. These models can provide relatively quick preliminary estimates of the performance indicators before committing to resource-consuming junction remodelling works.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Author(s). This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (CC-BY-NC-ND 4.0). |
Keywords: | Displaced right-turn, traffic simulation, regression model, practical reserve capacity, delay, junction modelling |
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: | 17 Oct 2023 08:29 |
Last Modified: | 17 Oct 2023 08:29 |
Status: | Published online |
Publisher: | Informa UK Limited |
Identification Number: | 10.1080/03081060.2023.2265910 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:204294 |
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