Fully Informed Vulnerable Road Users - Simpler, Maybe Better

dc.contributor.authorFernandes, Bruno
dc.contributor.authorVicente, Henrique
dc.contributor.authorRibeiro, Jorge
dc.contributor.authorCapita, António
dc.contributor.authorAnalide, César
dc.contributor.authorNeves, José
dc.contributor.editorIndrawan-Santiago, Maria
dc.contributor.editorPardede, Eric
dc.contributor.editorSalvadori, Ivan
dc.contributor.editorSteinbauer, Matthias
dc.contributor.editorKhalil, Ismail
dc.contributor.editorAnderst-Kotsis, Gabriele
dc.date.accessioned2020-03-03T13:53:44Z
dc.date.available2020-03-03T13:53:44Z
dc.date.issued2019
dc.description.abstractVulnerable Road Users (VRUs) are all those with an increased vulnerability on the road, in particular non-motorised ones. Until now, the emphasis has been in politics more focused on drivers, vehicles and infrastructures. However, recent developments show a shift in other directions, with researchers now devoting efforts to improve VRUs' safety. Hence, this work focuses on pedestrian walking and crossing behaviour, attitudes, motivations and habits, being grounded on an approach to Knowledge Representation and Reasoning centred on logic programming, which establishes a formal logical inference engine that is complemented with an Artificial Neural Network line to computation.por
dc.identifier.authoremailbruno.fmf.8@gmail.com
dc.identifier.authoremailhvicente@uevora.pt
dc.identifier.authoremailjribeiro@estg.ipvc.pt
dc.identifier.authoremailantoniojorgecapita@gmail.com
dc.identifier.authoremailanalide@di.uminho.pt
dc.identifier.authoremailjneves@di.uminho.pt
dc.identifier.citationFernandes, B., Vicente, H., Ribeiro J., Capita, A., Analide, C. & Neves J., Fully Informed Vulnerable Road Users - Simpler, Maybe Better. In M. Indrawan-Santiago, E. Pardede, I.L. Salvadori, M. Steinbauer, I. Khalil & G. Anderst-Kotsis Eds., Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services (iiWAS2019), pp. 598–602, Association for Computing Machinery, New York, United States of America, 2019.por
dc.identifier.doi10.1145/3366030.3366089por
dc.identifier.isbn978-1-4503-7179-7
dc.identifier.sharewithCQEpor
dc.identifier.urihttps://dl.acm.org/doi/abs/10.1145/3366030.3366089
dc.identifier.urihttp://hdl.handle.net/10174/27676
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherACM - Association for Computing Machinerypor
dc.rightsopenAccesspor
dc.subjectVulnerable Road Userspor
dc.subjectKnowledge Representation and Reasoningpor
dc.subjectLogic Programmingpor
dc.subjectArtificial Neural Networkspor
dc.titleFully Informed Vulnerable Road Users - Simpler, Maybe Betterpor
dc.typearticlepor

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