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

Multi-objective optimization of pavement networks using Traffic Management System (TMS)
Auteur(s): , , , ,
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Présenté pendant IABSE Congress: Beyond Structural Engineering in a Changing World, San José, Cost Rica, 25-27 Seotember 2024, publié dans , pp. 174-183
DOI: 10.2749/sanjose.2024.0174
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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...
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Détails bibliographiques

Auteur(s): (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)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Congress: Beyond Structural Engineering in a Changing World, San José, Cost Rica, 25-27 Seotember 2024
Publié dans:
Page(s): 174-183 Nombre total de pages (du PDF): 10
Page(s): 174-183
Nombre total de pages (du PDF): 10
DOI: 10.2749/sanjose.2024.0174
Abstrait:

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.