Search results for "Pavement Management"

showing 10 items of 20 documents

Backcalculation of airport pavement moduli and thickness using the Lévy Ant Colony Optimization Algorithm

2016

Interpretation of NDTdata is crucial in any Airport Pavement Management System (APMS), in order to implement strategies to maintain airport pavementssince they allow to estimate their remaining life and related maintenance needs and activities. In this paper, the AntColony Optimization algorithmwasused for backcalculation of pavement moduli from surface deflection data. The algorithm’s performances are illustrated and improvement in prediction quality is demonstrated both in terms of goodness of fitness and computational effort. Moreover, it is proved that the proposed algorithm is also able to predict layer thicknesses, taking into account their variation too.

Engineeringmoduli backcalculation0211 other engineering and technologies020101 civil engineering02 engineering and technologyheuristic algorithm.0201 civil engineeringModuliDeflection (engineering)Nondestructive testing021105 building & constructionSettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials ScienceFWD dataCivil and Structural Engineeringbusiness.industryAnt colony optimization algorithmsPavement managementBuilding and ConstructionAbstract interpretationRemaining lifeNon Destructive TestingbusinessSettore ICAR/08 - Scienza Delle CostruzioniAlgorithmairport pavement
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A machine learning approach to determine airport asphalt concrete layer moduli using heavy weight deflectometer data

2021

An integrated approach based on machine learning and data augmentation techniques has been developed in order to predict the stiffness modulus of the asphalt concrete layer of an airport runway, from data acquired with a heavy weight deflectometer (HWD). The predictive model relies on a shallow neural network (SNN) trained with the results of a backcalculation, by means of a data augmentation method and can produce estimations of the stiffness modulus even at runway points not yet sampled. The Bayesian regularization algorithm was used for training of the feedforward backpropagation SNN, and a k-fold cross-validation procedure was implemented for a fair performance evaluation. The testing p…

Heavy weight deflectometerComputer scienceMaintenanceRunwayGeography Planning and DevelopmentTJ807-830Management Monitoring Policy and LawStiffness modulusTD194-195Machine learningcomputer.software_genreRenewable energy sourcesMachine learningPerformance predictionGE1-350Layer (object-oriented design)Environmental effects of industries and plantsArtificial neural networkRenewable Energy Sustainability and the Environmentbusiness.industryFeed forwardPavement managementBuilding and ConstructionBackpropagationEnvironmental sciencesAsphalt concreteShallow neural networkHeavy weight deflectometer; Machine learning; Maintenance; Runway; Shallow neural network; Stiffness modulusRunwayArtificial intelligencebusinesscomputer
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Tecniche di Rilievo ad Alto rendimento nel Pavement Management System: verifica sperimentale nel Campus Universitario di Parma

2011

Manutenzione stradale rilievi ad alto rendimento Pavement Management SystemSettore ICAR/04 - Strade Ferrovie Ed Aeroporti
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An advanced pavement management system based on a genetic algorithm for a motorway network

2013

Maintenance and improvement, through the rehabilitation, of the road infrastructure is a strategic and priority objective for road agencies, nevertheless the economic resources required are often inadequate. Within road management, the pavement management system (PMS) plays an essential role because of both the money needed and the performance that should be provided in terms of safety, ride quality and transport cost. The PMS is based on searching for a balanced solution between the lowest cost and the increased level of performance (i.e. pavement condition). In this paper a PMS multi-objective optimization method, was proposed, using a genetic algorithm (GA) to identify the best solution …

Mathematical optimizationmulti-objective optimizationComputer sciencepavement management systemGenetic algorithmPavement managementgenetic algorithmSettore ICAR/04 - Strade Ferrovie Ed Aeroportipavement management system genetic algorithm multi-objective optimization.Multi-objective optimization
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Image-based 3D reconstruction using traditional and mobile-phone data-sets for road pavement distress analysis

2021

The issue of road networks being in deplorable conditions is one that is widespread globally. One of the main precursors for this is that when preparing maintenance management systems, many road agencies rely on data which is often outdated or inaccurate. This is due in many cases to insufficient budgets which are unable to adequately address both maintenance and rehabilitation. It is therefore critical that road agencies have better tools at their disposal to help combat these issues. One of the possible techniques that have been identified is the use of structure from motion techniques to adequately identify road pavement distresses. This paper advances previous work in this area and expl…

Road Pavement Distresse3D ModelLow-Cost technologiePavement Management Mobile phonesStructure from Motion
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Integrating Circularity in the Sustainability Assessment of Asphalt Mixtures

2020

Rising concerns about the impacts that the road engineering industry is imposing to the environment have redirected national road authorities to firmly re-consider the sustainability implications of their operations. Lately, though, sustainability has established a forceful correlation with the Circular Economy and its principles. The road engineering industry, therefore, is moving towards more circular approaches. However, this is occurring without the assessment of the potential impacts of such a transition. For this reason, in this study, a composite indicator, namely, Environmental Sustainability and Circularity indicator (ESCi), for investigating the potential effects that increased ci…

Road engineeringasphalt mixture020209 energyGeography Planning and DevelopmentTJ807-83002 engineering and technology010501 environmental sciencesManagement Monitoring Policy and LawTD194-195asphalt recycling01 natural sciencesCivil engineeringRenewable energy sources11. Sustainability0202 electrical engineering electronic engineering information engineeringSettore ICAR/04 - Strade Ferrovie Ed AeroportiProduction (economics)GE1-350circularity assessmentLife-cycle assessment0105 earth and related environmental sciencesEnvironmental effects of industries and plantsreclaimed asphaltRenewable Energy Sustainability and the EnvironmentCircular economycircular economyPavement managementComposite indicatorsustainabilityEnvironmental sciencessustainability assessment13. Climate actionAsphaltSustainabilitymaterial circularity indexEnvironmental scienceSustainability
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UN APPROCCIO BASATO SULLA MODELLAZIONE 3D E IL LIFE CYCLE ASSESSMENT PER UNA GESTIONE SOSTENIBILE DELLA MANUTENZIONE STRADALE

2021

Among several goals of the road agencies, one of the most relevant is the maintenance and rehabilitation of the road pavement. The growth of traffic, the longstanding lack of funding and, sometimes, an emergency-based planning of intervention, are common drivers leading to low level of pavement conditions in terms of ride quality and safety. In addition both cost and environmental concerns due to monitoring stage are relevant issues within the management system of local and urban road network, especially. With the purpose of implementing sustainability in the road pavement management, this paper provides an approach based on coupled low- cost 3D image modelling distress identification and L…

SustainabilityPavement Management System3d ModellingPavement DistressesSettore ICAR/04 - Strade Ferrovie Ed AeroportiSettore ICAR/17 - DisegnoLife Cycle Assessment
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Exploiting 3D Modelling and Life Cycle Assessment to Improve the Sustainability of Pavement Management

2020

Today road agencies worldwide face difficult decisions for construction, maintenance and rehabilitation of their road infrastructure as they try to balance limited budgets. This is further complicated rising environmental concerns over equipment and techniques used for these practices. This has led agencies to consider alternative approaches for smarter and sustainable pavement asset management systems. This paper considers the use of a low-cost 3D image modelling distress identification and classification proposal for data acquisition and analysis. To establish its environmental friendliness, a case study in Palermo, Italy, is considered wherein a Life Cycle Assessment (LCA) exercise is do…

business.industryComputer scienceYield (finance)Pavement managementpavement management system pavement distresses 3d modelling sustainability asphalt pavementsLife cycle assessmentIdentification (information)Risk analysis (engineering)3d imageRoad networksSustainabilitySettore ICAR/04 - Strade Ferrovie Ed AeroportiAsset managementbusinessLife-cycle assessment
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Exploiting Data Analytics and Deep Learning Systems to Support Pavement Maintenance Decisions

2021

Road networks are critical infrastructures within any region and it is imperative to maintain their conditions for safe and effective movement of goods and services. Road Management, therefore, plays a key role to ensure consistent efficient operation. However, significant resources are required to perform necessary maintenance activities to achieve and maintain high levels of service. Pavement maintenance can typically be very expensive and decisions are needed concerning planning and prioritizing interventions. Data are key towards enabling adequate maintenance planning but in many instances, there is limited available information especially in small or under-resourced urban road authorit…

feature importancepavement management systemComputer science0211 other engineering and technologiespavement maintenance decision02 engineering and technologypavement management systemslcsh:Technologylcsh:ChemistryGoods and services021105 building & construction0502 economics and business11. SustainabilitySettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials Scienceroad asset databasesInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processes050210 logistics & transportationbusiness.industryLevel of servicelcsh:TProcess Chemistry and TechnologyDeep learning05 social sciencesGeneral EngineeringPavement managementdeep learningTimelinedata mininglcsh:QC1-999Computer Science Applicationsroad asset databaseWorkflowRisk analysis (engineering)lcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Key (cryptography)Settore ICAR/17 - DisegnoArtificial intelligencepavement maintenance decisionsbusinesslcsh:Engineering (General). Civil engineering (General)Predictive modellinglcsh:PhysicsApplied Sciences
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Optimizing artificial neural networks for the evaluation of asphalt pavement structural performance

2019

Artificial Neural Networks represent useful tools for several engineering issues. Although they were adopted in several pavement-engineering problems for performance evaluation, their application on pavement structural performance evaluation appears to be remarkable. It is conceivable that defining a proper Artificial Neural Network for estimating structural performance in asphalt pavements from measurements performed through quick and economic surveys produces significant savings for road agencies and improves maintenance planning. However, the architecture of such an Artificial Neural Network must be optimised, to improve the final accuracy and provide a reliable technique for enriching d…

lcsh:TE1-450Computer science0211 other engineering and technologies020101 civil engineering02 engineering and technology0201 civil engineeringlcsh:TG1-470lcsh:Bridge engineeringAsphalt pavementDeflection (engineering)021105 building & constructionSettore ICAR/04 - Strade Ferrovie Ed AeroportiAsphalt pavementArchitectureArtificial Neural Network (ANN); asphalt pavement; Long Term Pavement Performance (LTPP); neural network optimisation; Pavement Management System (PMS); structural performancelcsh:Highway engineering. Roads and pavementsCivil and Structural EngineeringArtificial neural network (ANN)Network architectureTraining setArtificial neural networkPavement managementBuilding and ConstructionPavement management system (PMS)Structural performanceReliability engineeringNeural network optimisationAsphaltLong term pavement performance (LTPP)Artificial neural network (ANN) Asphalt pavement Long term pavement performance (LTPP) Neural network optimisation Pavement management system (PMS) Structural performance
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