Multi-objective optimization of pavement networks using Traffic Management System (TMS)
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Bibliographic Details
| Author(s): |
Nayled Acuña-Coll
(ISISE, ARISE, Department of Civil Engineering, University of Minho, Guimarães, Portugal Department of Civil and Environmental Engineering, Universidad de Los Andes, Bogotá, Colombia)
Mauricio Bonatte (ISISE, ARISE, Department of Civil Engineering, University of Minho, Guimarães, Portugal) Elisabete Teixeira (ISISE, ARISE, Department of Civil Engineering, University of Minho, Guimarães, Portugal) Hélder S. Sousa (ISISE, ARISE, Department of Civil Engineering, University of Minho, Guimarães, Portugal) José Matos (ISISE, ARISE, Department of Civil Engineering, University of Minho, Guimarães, Portugal) António Costa (Centro Algoritmi, Department of Informatics, University of Minho, Braga, Portugal) Fábio Gonçalves (Centro Algoritmi, Department of Informatics, University of Minho, Braga, Portugal) Mauricio Sanchez-Silva (Department of Civil and Environmental Engineering, Universidad de Los Andes, Bogotá, Colombia) |
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| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Congress: Beyond Structural Engineering in a Changing World, San José, Cost Rica, 25-27 Seotember 2024 | ||||
| Published in: | IABSE Congress San José 2024 | ||||
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| Page(s): | 174-183 | ||||
| Total no. of pages: | 10 | ||||
| DOI: | 10.2749/sanjose.2024.0174 | ||||
| Abstract: |
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. |
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| Keywords: |
multi-objective optimization Pavement Management Systems Traffic Management Systems Pavement Management
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