Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A Hybrid Approach for Pavement Maintenance Management of an Italian Motorway
Transportation officials are faced every day with competing investment demands, and they must distribute limited resources in the presence of uncertainty or in the absence of complete and accurate information. Therefore, they must have access to valid, efficient, and robust asset management tools, which can support the optimization of maintenance interventions and support the policies at all decisional levels. Within this context, emerging technologies, such as artificial intelligence techniques, provide efficient alternatives to the traditional mathematical approaches. In this paper a hybrid approach for optimal management of road pavement maintenance for a pluri-annual planning period is proposed. The proposal of the procedure has been the optimal management of the rehabilitation interventions of pavement friction. In particular, a Sideway Force Coefficient prediction model has been created through an appropriate neural network to characterize the pavement conditions. Defined this model it was possible to solve the optimization problem. A genetic algorithm was used to tackle the combinatorial nature of the network-level maintenance programming. The procedure was applied to a motorway infrastructure belonging to the motorway network of Eastern Sicily (Italy).
A Hybrid Approach for Pavement Maintenance Management of an Italian Motorway
Transportation officials are faced every day with competing investment demands, and they must distribute limited resources in the presence of uncertainty or in the absence of complete and accurate information. Therefore, they must have access to valid, efficient, and robust asset management tools, which can support the optimization of maintenance interventions and support the policies at all decisional levels. Within this context, emerging technologies, such as artificial intelligence techniques, provide efficient alternatives to the traditional mathematical approaches. In this paper a hybrid approach for optimal management of road pavement maintenance for a pluri-annual planning period is proposed. The proposal of the procedure has been the optimal management of the rehabilitation interventions of pavement friction. In particular, a Sideway Force Coefficient prediction model has been created through an appropriate neural network to characterize the pavement conditions. Defined this model it was possible to solve the optimization problem. A genetic algorithm was used to tackle the combinatorial nature of the network-level maintenance programming. The procedure was applied to a motorway infrastructure belonging to the motorway network of Eastern Sicily (Italy).
A Hybrid Approach for Pavement Maintenance Management of an Italian Motorway
Bosurgi, G. (Autor:in) / Trifirò, F. (Autor:in)
International Conference on Computing in Civil Engineering 2005 ; 2005 ; Cancun, Mexico
24.06.2005
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A Hybrid Approach for Pavement Maintenance Management of an Italian Motorway
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