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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/27676
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Title: | Fully Informed Vulnerable Road Users - Simpler, Maybe Better |
Authors: | Fernandes, Bruno Vicente, Henrique Ribeiro, Jorge Capita, António Analide, César Neves, José |
Editors: | Indrawan-Santiago, Maria Pardede, Eric Salvadori, Ivan Steinbauer, Matthias Khalil, Ismail Anderst-Kotsis, Gabriele |
Keywords: | Vulnerable Road Users Knowledge Representation and Reasoning Logic Programming Artificial Neural Networks |
Issue Date: | 2019 |
Publisher: | ACM - Association for Computing Machinery |
Citation: | Fernandes, 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. |
Abstract: | Vulnerable 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. |
URI: | https://dl.acm.org/doi/abs/10.1145/3366030.3366089 http://hdl.handle.net/10174/27676 |
ISBN: | 978-1-4503-7179-7 |
Type: | article |
Appears in Collections: | CQE - Artigos em Livros de Actas/Proceedings QUI - Artigos em Livros de Actas/Proceedings
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