A multilevel decision-making approach for road infrastructure management

• Type: Article in International Scientific Journal
• Date: 2023

Authors

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

Journal

Title: Journal of Decision Systems

Pages: 1-23

ISSN: 1246-0125

Publisher: Taylor & Francis

Indexing

ISI Web of Knowledge - 0 Citations

ISI Web of Science

Scopus - 1 Citation

Scientific classification

CORDIS: Technological sciences > Engineering > Civil engineering

FOS: Engineering and technology > Civil engineering

Associated Projects

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

Other information

Authenticus ID: 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%.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 23