Planning urban pavement maintenance by a new interactive multiobjective optimization approach

Autor: Vittorio Nicolosi, Maria Grazia Augeri, Salvatore Greco
Rok vydání: 2019
Předmět:
Settore ICAR/04 - Strade
Ferrovie ed Aeroporti
Operations research
Maintenance
Computer science
0211 other engineering and technologies
Multi-criteria decision-making
Pavement management
Rehabilitation
Road performance
Automotive Engineering
Transportation
Mechanical Engineering
02 engineering and technology
Asset (computer security)
Multi-objective optimization
0502 economics and business
Maintenance actions
Decision-making
Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarie
050210 logistics & transportation
pavement management
multi-criteria decision-making
maintenance
rehabilitation
road performance
05 social sciences
lcsh:TA1001-1280
Business and Management
021107 urban & regional planning
Decision rule
lcsh:HE1-9990
Rough set
lcsh:Transportation engineering
lcsh:Transportation and communications
Decision model
Zdroj: Augeri, M G, Greco, S & Nicolosi, V 2019, ' Planning urban pavement maintenance by a new interactive multiobjective optimization approach ', European Transport Research Review, vol. 11, no. 1, 17 . https://doi.org/10.1186/s12544-019-0353-9
European Transport Research Review, Vol 11, Iss 1, Pp 1-14 (2019)
ISSN: 1866-8887
1867-0717
DOI: 10.1186/s12544-019-0353-9
Popis: Pavement maintenance is essential to prevent the deterioration of asset value and to satisfy the expectations of all stakeholders (objectives). However, the budgets are often insufficient to keep the road pavement at optimum levels. Therefore, a decision making process ought to be used for prioritizing different maintenance activities in order to achieve pre-defined goals by optimizing the use of the available budget. One of the biggest difficulties in multiobjective optimization method is the large number of the feasible solutions (Pareto optimal set or its approximation), which makes it hard for the Decision Maker to select the best solution.To support interaction with the decision maker for identifying the best combination of maintenance actions, this paper proposes a new methodology named “Interactive Multiobjective Optimization-Dominance Rough Set Approach” (IMO-DRSA), using a decision-rule preference model.The preference information, obtained by the Decision Maker (DM) during the course of the interaction, is processed using the Dominance-based Rough Set Approach in order to achieve a decision model expressed in terms of easily understandable “if ….then …” decision rules. This approach makes possible an interaction between the analyst and the decision maker and helps the decision maker to classify maintenance options and allocate limited funds according to predefined objectives (quantitative or qualitative). An application of the proposed methodology to road pavements of an Italian urban sub-network is presented.
Databáze: OpenAIRE
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