Exploring the Solution Space of Self-Automated Parking Lots: An Empirical Evaluation of Vehicle Control Strategies

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

Pedro M. d'Orey (Autor) FEUP; Azevedo, J (Autor) Outra; Michel Ferreira (Autor) FCUP

Ata de Conferência Internacional

Título: IEEE 19th International Conference on Intelligent Transportation Systems: Proceedings

Páginas: 1134-1140

ITSC 2016 - 19th IEEE International Conference on Intelligent Transportation Systems

Rio de Janeiro, 1 de novembro de 2016

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00M-AMD

DOI: 10.1109/ITSC.2016.7795699

Abstract (EN): Parking is one of the main elements of sustainable mobility policies, with important implications on traffic congestion and the urban landscape. Self-automated parking lots have the potential to revolutionize parking by reducing by half the space occupied per vehicle. We explore the solution space of parking management strategies with and without system knowledge (i.e. exit time) for self-automated parking lots. Through a large-scale empirical evaluation study, we conclude that the implementation of the system implies (i) a bounded number of in-park movements, (ii) bounded and similar travel distances and (iii) small vehicle removal times. Having knowledge of the exit time allows to considerably improve the performance of the automated parking system.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7