Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Material Type: Article
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Procedure for Measuring the Luminance of Roadway Billboards and Preliminary ResultsLeukos, 2022-01, Vol.18 (1), p.2-20 [Peer Reviewed Journal]2020 The Author(s). Published with license by Taylor & Francis Group, LLC. 2020 ;ISSN: 1550-2724 ;EISSN: 1550-2716 ;DOI: 10.1080/15502724.2020.1803752Digital Resources/Online E-Resources |
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2 |
Material Type: Article
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Ways of seeing: landscape-infrastructure as critical design framework to analyse the production of Paris's Boulevard PériphériqueLandscape research, 2023-02, Vol.48 (2), p.239-254 [Peer Reviewed Journal]2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2022 ;2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution – Non-Commercial – No Derivatives License http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0142-6397 ;EISSN: 1469-9710 ;DOI: 10.1080/01426397.2022.2048811Digital Resources/Online E-Resources |
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3 |
Material Type: Article
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The automated driver as a new road userTransport reviews, 2021-09, Vol.41 (5), p.533-555 [Peer Reviewed Journal]2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2020 ;ISSN: 0144-1647 ;EISSN: 1464-5327 ;DOI: 10.1080/01441647.2020.1861124Digital Resources/Online E-Resources |
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4 |
Material Type: Article
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Spatial patterns of transport accessibility and traffic load in Czechia: towards a typology of the new road infrastructure impactsJournal of maps, 2022-01, Vol.18 (1), p.33-42 [Peer Reviewed Journal]2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Journal of Maps 2022 ;2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Journal of Maps. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1744-5647 ;EISSN: 1744-5647 ;DOI: 10.1080/17445647.2022.2035265Full text available |
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5 |
Material Type: Article
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Investigation of road infrastructure and traffic density attributes at high-risk locations for motorcycle-related injuries using multiple correspondence and cluster analysis in urban TanzaniaInternational journal of injury control and safety promotion, 2021-12, Vol.28 (4), p.428-438 [Peer Reviewed Journal]2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2021 ;ISSN: 1745-7300 ;ISSN: 1745-7319 ;EISSN: 1745-7319 ;DOI: 10.1080/17457300.2021.1930060 ;PMID: 34098838Digital Resources/Online E-Resources |
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6 |
Material Type: Article
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Dealing with interrelatedness and fragmentation in road infrastructure planning: an analysis of integrated approaches throughout the planning process in the NetherlandsPlanning theory & practice, 2016-07, Vol.17 (3), p.421-443 [Peer Reviewed Journal]2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2016 ;ISSN: 1464-9357 ;EISSN: 1470-000X ;DOI: 10.1080/14649357.2016.1193888Digital Resources/Online E-Resources |
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7 |
Material Type: Article
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Development of district-wise crash prediction model in BangladeshCogent engineering, 2020-01, Vol.7 (1), p.1762525 [Peer Reviewed Journal]2020 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. 2020 ;2020 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2331-1916 ;EISSN: 2331-1916 ;DOI: 10.1080/23311916.2020.1762525Full text available |
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8 |
Material Type: Article
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Multiple vehicle fusion for a robust road condition estimation based on vehicle sensors and data miningCogent engineering, 2018-01, Vol.5 (1), p.1449428 [Peer Reviewed Journal]2018 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license 2018 ;2018 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2331-1916 ;EISSN: 2331-1916 ;DOI: 10.1080/23311916.2018.1449428Full text available |