0
  • DE
  • EN
  • FR
  • Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

Multi-objective optimization of pavement networks using Traffic Management System (TMS)

 Multi-objective optimization of pavement networks using Traffic Management System (TMS)
Autor(en): , , , ,
Beitrag für IABSE Congress: Beyond Structural Engineering in a Changing World, San José, Cost Rica, 25-27 Seotember 2024, veröffentlicht in , S. 174-183
DOI: 10.2749/sanjose.2024.0174
Preis: € 25,00 inkl. MwSt. als PDF-Dokument  
ZUM EINKAUFSWAGEN HINZUFÜGEN
Vorschau herunterladen (PDF-Datei) 0.55 MB

The development of advanced simulation and decision-making models presents an opportunity to enhance the assessment of infrastructure projects. This study aims to improve Pavement Management System...
Weiterlesen

Bibliografische Angaben

Autor(en): (ISISE, ARISE, Department of Civil Engineering, University of Minho, Guimarães, Portugal Department of Civil and Environmental Engineering, Universidad de Los Andes, Bogotá, Colombia)
(ISISE, ARISE, Department of Civil Engineering, University of Minho, Guimarães, Portugal)
(ISISE, ARISE, Department of Civil Engineering, University of Minho, Guimarães, Portugal)
(ISISE, ARISE, Department of Civil Engineering, University of Minho, Guimarães, Portugal)
(ISISE, ARISE, Department of Civil Engineering, University of Minho, Guimarães, Portugal)
(Centro Algoritmi, Department of Informatics, University of Minho, Braga, Portugal)
(Centro Algoritmi, Department of Informatics, University of Minho, Braga, Portugal)
(Department of Civil and Environmental Engineering, Universidad de Los Andes, Bogotá, Colombia)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Congress: Beyond Structural Engineering in a Changing World, San José, Cost Rica, 25-27 Seotember 2024
Veröffentlicht in:
Seite(n): 174-183 Anzahl der Seiten (im PDF): 10
Seite(n): 174-183
Anzahl der Seiten (im PDF): 10
DOI: 10.2749/sanjose.2024.0174
Abstrakt:

The development of advanced simulation and decision-making models presents an opportunity to enhance the assessment of infrastructure projects. This study aims to improve Pavement Management Systems (PMS) by incorporating data from Traffic Management Systems (TMS). The methodology uses TMS data to calculate fuel consumption resulting from traffic disruptions caused by maintenance actions. The proposed multi-objective optimization framework aims to minimize maintenance costs, pavement degradation, and fuel consumption. This framework employs a bottom-up approach for system-level optimization, serving as a decision-making tool for road networks that account for the stochastic dynamics of the network. The findings indicate that including fuel consumption as an objective in the optimization model alters decision outcomes and reduces the variability of decision policies.