Tengilimoglu, O., Carsten, O. orcid.org/0000-0003-0285-8046 and Wadud, Z. orcid.org/0000-0003-2692-8299 (2024) The effects of infrastructure quality on the usefulness of automated vehicles: A case study for Leeds, UK. Journal of Transport Geography, 121. 104042. ISSN 0966-6923
Abstract
With rapid advancements in automated driving technologies, there is a growing emphasis on enhancing physical and digital infrastructure to ensure safe and efficient integration of Automated Vehicles (AVs) into road networks. This study conducts the first exploratory analysis of the impact of heterogeneity in road infrastructure readiness on the usefulness of AVs for urban commuting, with a focus on Leeds, UK. Employing a hypothetical scenario where current car commuters have access to AVs for their daily trips, this research explores possibility of replacing commuting trips by AVs, given the existing levels of infrastructure readiness. Through the evaluation of various road network configurations and AV capabilities, the study evaluated the usefulness of AVs for such journeys. The findings reveal that infrastructure readiness levels significantly impact AV performance and usefulness, potentially necessitating infrastructure upgrades to facilitate future AV deployment. The analysis indicates that relatively less challenging paths for AVs tend to be longer than those typically used by human-driven vehicles, with an increase of approximately 5 miles (8 km) in travel distance for some origin-destination pairs. Despite only 20 % of road links being classified as extremely challenging within the network, their dispersed distribution resulted in significant connectivity barriers, rendering a considerable number of trips infeasible for AV navigation. The research findings can provide valuable insights to help understand the integration of AVs into road networks and assist decision-makers and transport planners in developing informed and forward-looking policies, regulations and guidelines.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Crown Copyright © 2024 Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Automated vehicles; Infrastructure assessment; Physical and digital infrastructure; Urban road network; Commuting patterns |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Dec 2024 17:20 |
Last Modified: | 02 Dec 2024 17:20 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jtrangeo.2024.104042 |
Related URLs: | |
Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:220274 |