A multilevel decision-making approach for road infrastructure management

• Tipo: Artigo em Revista Científica Internacional
• Data: 2023

Autores

Sérgio Pedro Duarte (Autor) FEUP; António Lobo (Autor) FEUP; Joana Ribeiro (Autor) Outra; João Valente Neves (Autor) Outra; António Couto (Autor) FEUP; Sara Ferreira (Autor) FEUP

Revista

Título: Journal of Decision Systems

Páginas: 1-23

ISSN: 1246-0125

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 0 Citações

ISI Web of Science

Scopus - 1 Citação

Classificação Científica

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia civil

FOS: Ciências da engenharia e tecnologias > Engenharia civil

Projetos Associados

TRAIN - Avaliação dos riscos e requisitos para a circulação em pelotão de veículos pesados com recurso a simulador de condução

Outras Informações

ID Authenticus: P-00Z-6FF

DOI: 10.1080/12460125.2023.2263675

Abstract (EN): The design of effective road safety countermeasures requires a network diagnosis supported by data. Moreover, infrastructures need to be ready for the introduction of vehicle-to-infrastructure communications to support technologies, as truck platooning. Ascendi, a motorway concessionaire, developed an action plan to decrease crash frequency and casualties that rests in data recorded by automatic vehicle counting devices. To have a good network representation, new equipment will provide more data, thus enhancing the selection of countermeasures. We developed a multilevel decision-support approach to define equipment location. The process stages correspond to three levels of analysis: (1) clustering for road segment classification (network level); (2) quantification of the devices to install ensuring similar coverage (concession level); (3) device allocation according to geographical and cost criteria (segment level). An iterative and participatory process involving Ascendi resulted in a proposal for adding 43 devices to the existing 72, increasing the network coverage to 39%.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 23