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Title: Evolutionary Computation on Road Safety
Authors: Fernandes, Bruno
Vicente, Henrique
Ribeiro, Jorge
Analide, Cesar
Neves, José
Keywords: Artificial Intelligence
Smart Cities
Vulnerable Road Users
Internet of People
Knowledge Representation and Reasoning
Evolutionary Computation
Issue Date: 2018
Publisher: Springer
Citation: Fernandes, B., Vicente, H., Ribeiro, J., Analide, C. & Neves, J. Evolutionary Computation on Road Safety. Lecture Notes in Computer Science, 10870, 647–657, 2018.
Abstract: This study examines the psychological research that focuses on road safety in Smart Cities as proposed by the Vulnerable Road Users (VRUs) sphere. It takes into account qualities such as VRUs’ personal information, their habits, environmental measurements and things data. With the goal of seeing VRUs as active and proactive actors with differentiated feelings and behaviours, we are committed to integrating the social factors that characterize each VRU into our social machinery. As a result, we will focus on the development of a VRU Social Machine to assess VRUs’ behaviour in order to improve road safety. The formal background will be to use Logic Programming to define its architecture based on a Deep Learning approach to Knowledge Representation and Reasoning, complemented with an Evolutionary approach to Computing.
URI: 10.1007/978-3-319-92639-1_54
ISSN: 0302-9743 (paper)
1611-3349 (electronic)
Type: article
Appears in Collections:CQE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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