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Material Type: Article
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Improvement of Safety of Road Infrastructure and Transport NetworksBuletinul Institutului Politehnic din Iași. Secția 6, Construcții, arhitectura, 2022-03, Vol.68 (1), p.9-14 [Peer Reviewed Journal]2022. This work is published under https://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2068-4762 ;ISSN: 1224-3884 ;EISSN: 2068-4762 ;DOI: 10.2478/bipca-2022-0001Full text available |
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Material Type: Article
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Cellphone Laws and Rear-End AccidentsJournal of insurance regulation, 2016-01, Vol.35, p.1 [Peer Reviewed Journal]Copyright National Association of Insurance Commissioners 2016 ;ISSN: 0736-248XFull text available |
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3 |
Material Type: Article
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Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident AnalysisarXiv.org, 2024-022024. This work is published under 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2311.00164Full text available |
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4 |
Material Type: Article
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Motorcycle System for Optimum Road Safety with Anti-theft CapabilityarXiv.org, 2021-012021. This work is published under 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. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2101.06096Full text available |
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5 |
Material Type: Article
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Automated Object Behavioral Feature Extraction for Potential Risk Analysis based on Video SensorarXiv.org, 2021-102021. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2107.03554Full text available |
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6 |
Material Type: Article
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FARSA: Fully Automated Roadway Safety AssessmentarXiv.org, 2019-012019. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1901.06013Full text available |
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7 |
Material Type: Article
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LESS TRAFFIC, MORE TROUBLE: TRUCK CRASHES SPIKE DURING COVID-19EMS World, 2020-09, Vol.49 (9), p.54-55Copyright HMP Communications Sep 2020 ;ISSN: 2158-7833 ;EISSN: 2159-3078Full text available |
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8 |
Material Type: Article
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How transportation agencies can maximize infrastructure investments with network modernizationCIO, 2023-11Copyright Foundry Nov 14, 2023 ;ISSN: 0894-9301Full text available |
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9 |
Material Type: Article
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An Intelligent Monitoring System of Vehicles on Highway TrafficarXiv.org, 2019-052019. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1905.10982Full text available |
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10 |
Material Type: Article
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Navigational Rule Derivation: An algorithm to determine the effect of traffic signs on road networksarXiv.org, 2016-112016. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1611.06108Full text available |
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11 |
Material Type: Article
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Towards Social Autonomous Vehicles: Efficient Collision Avoidance Scheme Using Richardson's Arms Race ModelarXiv.org, 2017-082017. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1708.01931Full text available |
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12 |
Material Type: Article
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BARE BONES: EMS IN NIGERIAEMS World, 2019-09, Vol.48 (9), p.12-13Copyright HMP Communications Sep 2019 ;ISSN: 2158-7833 ;EISSN: 2159-3078Full text available |
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13 |
Material Type: Article
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Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a CararXiv.org, 2017-042017. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1704.07911Full text available |
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14 |
Material Type: Article
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Safely Optimizing Highway Traffic with Robust Model Predictive Control-based Cooperative Adaptive Cruise ControlarXiv.org, 2016-062016. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1605.07493Full text available |
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15 |
Material Type: Article
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How smart cities are transforming drivingCIO, 2017-06Copyright CXO Media, Inc. Jun 26, 2017 ;ISSN: 0894-9301Full text available |
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16 |
Material Type: Article
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HAMILTON: A COMMUNITY EXEMPLIFYING ONTARIO’S ROAD SAFETYEngineering Dimensions, 2019-01, Vol.40 (1), p.34Copyright Assn of Professional Engineers of Ontario [APEO] Jan/Feb 2019 ;ISSN: 0820-8190Digital Resources/Online E-Resources |
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17 |
Material Type: Article
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Detecting Road Surface Wetness from Audio: A Deep Learning ApproacharXiv.org, 2015-122015. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1511.07035Full text available |
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18 |
Material Type: Article
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Potential impacts of autonomous vehicles on the UK insurance sectorBank of England. Quarterly Bulletin, 2017-01, Vol.57 (1), p.40Copyright Bank of England. Economics Division. Bulletin Group First Quarter 2017 ;ISSN: 0005-5166 ;EISSN: 2399-4568Full text available |
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19 |
Material Type: Article
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Traffic Monitoring Using M2M CommunicationarXiv.org, 2014-042014. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1404.0106Full text available |
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20 |
Material Type: Article
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Profiling heavy vehicle speedingTrends and issues in crime and criminal justice, 2012-10 (446), p.1-8COPYRIGHT 2012 Australian Institute of Criminology ;COPYRIGHT 2012 Australian Institute of Criminology ;Copyright Australian Institute of Criminology Oct 2012 ;ISSN: 0817-8542 ;EISSN: 1836-2206Full text available |