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GIS-BASED INFRASTRUCTURE MANAGEMENT SYSTEM FOR OPTIMIZED RESPONSE TO EXTREME EVENTS OF TERRESTRIAL TRANSPORT NETWORKS

Deliverables

Schema of the SAFEWAY Infrastructure Information Model feeding the Infrastructure Management System

Conceptual model and UML Diagram of the Infrastructure Information Model adopted for SAFEWAY, including a report about data feeding from geospatial data to be explored in SAFEWAY.

Data acquisition and integration report

Report on definitions of the principle mechanisms how to interface the different monitoring systems into the IMS platform both from large scale vehicle monitoring systems as well as from more experimental data extracting methods utilising vehicle ADAS functions found in the analysis of the state of the art.

Report on (future) standardization activities of the IMS V1

This report includes a summary of the activities developed and outcome of task T10.2.

Vulnerability and resilience factors

This report includes de evaluation of dimensioning physical vulnerability factors and resilience factors for each demonstration site. Consequences evaluated with available databases, such as CARE on road accidents and accessible databases from Safeway stakeholders. Vulnerability projections will provide input into WP 5. Task 2.2.

Impact evaluation of man-made hazards on diverse infrastructure types

Report with the identification of physical vulnerability factors and their thresholds. The report must include the list of factors and qualitative/quantitative relevant thresholds. This report will be relevant for the impact assessment of the threats identified in Task 2.2.

Report on (future) standardization activities of the IMS V2

Second update of the summary of the activities developed and outcome of task T10.2.

Report with description of dynamic risk-based predictive models developed

It will be provided a report which addresses an overview of the most common predictive models for transportation infrastructures (deterministic and stochastic), and a description of dynamic risk-based predictive models (which will address time-varying consequence models). In such description, the report must include their inputs, outputs and main functionsReport with a description of the developed models, including their inputs, outputs, main functions, etc.

Data Management Plan (DPM) V1

The DPM comprises the provision for making the project data findable, accessible, interoperable and reusable. It also includes the report of the Ethics mentor. This deliveable is the first version.

Dissemination and Communication Plan V1

It comprises objectives, toolkit and planned activities, identifying audiences and the key message that the consortium intends to deliver to meet the defined objectives The DCP will be revised and updated during the project duration.

Quality Assurance Plan

It will define the rules for preparing the deliverables and the ways of verification that will be implemented in the project before final internal validation and submission to the EC/Agency. This plan will be used by the Project Technical Committee (PTC) as guidelines to evaluate the content of the technical deliverables and to ensure the technical quality of the project outcomes.

Training plan V1

Report comprising the elaboration of suitable material for training and technology transfer and organization of the specific training activities.

Report on lessons from sociotechnical systems analysis and practical recommendations for IMS information content

Report with state of the art of risk tolerances and psychological states, sociotechnical systems analysis of extreme events and recommendations on IMS content, structure and communication channels. Success equals quality assured report issued by M30.

Training plan V2

Update of the first version of the Training Plan.

GIS map and identification of hot spots of sudden extreme natural hazard events, including database with Impact and Return Periods.

Report with comprehensive review and evaluation of existing European and national databases on weather and natural hazards to establish the evidence base of dynamic risk maps of ‘hot spots’ of extreme weather conditions and related natural hazards. Identify and assess return periods of the predominant extreme weather conditions for the demonstration site regions.. Delivery to WP6 for implementation. Resulting from the Task 2.1.

Data acquisition report

Report about remote sensing platforms required for the multiscale data acquisition of inland transport networks. Resulted from Task 3.1.

Data Management Plan (DPM) V2

Second version of the Data Management Plan.

Data Management Plan (DPM) V3

Third revision of the DMP.

Dissemination and Communication Plan V2

Update of the first version of the Dissemination and Communication Plan.

Emergency Management Plan

The Task 8.1 corresponds to the development of an effective Emergency Management Plan for linear infrastructures. This emergency plan will include specific short term actions taking into account not only hazardous natural events but also man-made events. In addition, this task will be based on the outcomes of previous tasks where the potential risks have been identified, monitored and quantified. Moreover, it is expected the participation of other stakeholders related to emergency events such as National Civil Protection Authorities (Spain and Portugal), Spanish Centre for Critical Infrastructures, and similar agencies in the UK, Italy and other countries.

SAFEWAY Website

The SAFEWAY Website will comprise a public site and a private members’ area as a tool to ease the collaboration between partners and to share information. To be updated every three months, and a private members’ area.

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Publications

Automatic gbXML Modeling from LiDAR Data for Energy Studies

Author(s): Roi Otero, Ernesto Frías, Susana Lagüela, Pedro Arias
Published in: Remote Sensing, Issue 12/17, 2020, Page(s) 2679, ISSN 2072-4292
DOI: 10.3390/rs12172679

The impact of government measures and human mobility trend on COVID-19 related deaths in the UK

Author(s): Georgios M. Hadjidemetriou, Manu Sasidharan, Georgia Kouyialis, Ajith K. Parlikad
Published in: Transportation Research Interdisciplinary Perspectives, Issue 6, 2020, Page(s) 100167, ISSN 2590-1982
DOI: 10.1016/j.trip.2020.100167

IRT and GPR Techniques for Moisture Detection and Characterisation in Buildings

Author(s): Iván Garrido, Mercedes Solla, Susana Lagüela, Norberto Fernández
Published in: Sensors, Issue 20/22, 2020, Page(s) 6421, ISSN 1424-8220
DOI: 10.3390/s20226421

3D Point Cloud to BIM: Semi-Automated Framework to Define IFC Alignment Entities from MLS-Acquired LiDAR Data of Highway Roads

Author(s): Mario Soilán, Andrés Justo, Ana Sánchez-Rodríguez, Belén Riveiro
Published in: Remote Sensing, Issue 12/14, 2020, Page(s) 2301, ISSN 2072-4292
DOI: 10.3390/rs12142301

Scan-to-BIM for the infrastructure domain: Generation of IFC-complaint models of road infrastructure assets and semantics using 3D point cloud data

Author(s): Andrés Justo Mario Soilán Ana Sánchez-Rodríguez Belén Riveiro
Published in: Automation in Construction, 2021, ISSN 0926-5805
DOI: 10.1016/j.autcon.2021.103703

BARRIER AND GUARDRAIL EXTRACTION AND CLASSIFICATION FROM POINT CLOUDS

Author(s): M. Vidal, L. Díaz-Vilariño, P. Arias, J. Balado
Published in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue XLIII-B5-2020, 2020, Page(s) 157-162, ISSN 2194-9034
DOI: 10.5194/isprs-archives-XLIII-B5-2020-157-2020

Introduction of Deep Learning in Thermographic Monitoring of Cultural Heritage and Improvement by Automatic Thermogram Pre-Processing Algorithms

Author(s): Iván Garrido, Jorge Erazo-Aux, Susana Lagüela, Stefano Sfarra, Clemente Ibarra-Castanedo, Elena Pivarčiová, Gianfranco Gargiulo, Xavier Maldague, Pedro Arias
Published in: Sensors, Issue 21/3, 2021, Page(s) 750, ISSN 1424-8220
DOI: 10.3390/s21030750

Thermographic methodologies used in infrastructure inspection: A review—data acquisition procedures

Author(s): I. Garrido, S. Lagüela, R. Otero, P. Arias
Published in: Infrared Physics & Technology, Issue 111, 2020, Page(s) 103481, ISSN 1350-4495
DOI: 10.1016/j.infrared.2020.103481

Mobile indoor mapping technologies: A review

Author(s): Roi Otero, Susana Lagüela, Iván Garrido, Pedro Arias
Published in: Automation in Construction, Issue 120, 2020, Page(s) 103399, ISSN 0926-5805
DOI: 10.1016/j.autcon.2020.103399

Condition and criticality-based predictive maintenance prioritisation for networks of bridges

Author(s): Georgios M. Hadjidemetriou, Manuel Herrera, Ajith K. Parlikad
Published in: Structure and Infrastructure Engineering, 2020, Page(s) 1-16, ISSN 1573-2479
DOI: 10.1080/15732479.2021.1897146

Predictive group maintenance for multi-system multi-component networks

Author(s): Zhenglin Liang, Ajith Kumar Parlikad
Published in: Reliability Engineering & System Safety, Issue 195, 2020, Page(s) 106704, ISSN 0951-8320
DOI: 10.1016/j.ress.2019.106704

From BIM to Scan Planning and Optimization for Construction Control

Author(s): Ernesto Frías, Lucía Díaz-Vilariño, Jesús Balado, Henrique Lorenzo
Published in: Remote Sensing, Issue 11/17, 2019, Page(s) 1963, ISSN 2072-4292
DOI: 10.3390/rs11171963

Road Environment Semantic Segmentation with Deep Learning from MLS Point Cloud Data

Author(s): Balado, Martínez-Sánchez, Arias, Novo
Published in: Sensors, Issue 19/16, 2019, Page(s) 3466, ISSN 1424-8220
DOI: 10.3390/s19163466

Payload for Contact Inspection Tasks with UAV Systems

Author(s): L. M. González-deSantos, J. Martínez-Sánchez, H. González-Jorge, M. Ribeiro, J. B. de Sousa, P. Arias
Published in: Sensors, Issue 19/17, 2019, Page(s) 3752, ISSN 1424-8220
DOI: 10.3390/s19173752

A safety analysis of roundabouts and turbo roundabouts based on Petri nets

Author(s): Jesús Balado, Lucía Díaz-Vilariño, Pedro Arias, Ana Novo
Published in: Traffic Injury Prevention, Issue 20/4, 2019, Page(s) 400-405, ISSN 1538-9588
DOI: 10.1080/15389588.2019.1594208

Point clouds for direct pedestrian pathfinding in urban environments

Author(s): Jesús Balado, Lucía Díaz-Vilariño, Pedro Arias, Henrique Lorenzo
Published in: ISPRS Journal of Photogrammetry and Remote Sensing, Issue 148, 2019, Page(s) 184-196, ISSN 0924-2716
DOI: 10.1016/j.isprsjprs.2019.01.004

Review of Laser Scanning Technologies and Their Applications for Road and Railway Infrastructure Monitoring

Author(s): Soilán, Sánchez-Rodríguez, Río-Barral, Perez-Collazo, Arias, Riveiro
Published in: Infrastructures, Issue 4/4, 2019, Page(s) 58, ISSN 2412-3811
DOI: 10.3390/infrastructures4040058

Comparison of heuristic and deep learning-based methods for ground classification from aerial point clouds

Author(s): Mario Soilán, Belén Riveiro, Jesús Balado, Pedro Arias
Published in: International Journal of Digital Earth, 2019, Page(s) 1-20, ISSN 1753-8947
DOI: 10.1080/17538947.2019.1663948

Automatic detection of moistures in different construction materials from thermographic images

Author(s): I. Garrido, S. Lagüela, S. Sfarra, F. J. Madruga, P. Arias
Published in: Journal of Thermal Analysis and Calorimetry, Issue 138/2, 2019, Page(s) 1649-1668, ISSN 1388-6150
DOI: 10.1007/s10973-019-08264-y

Model Calibration Methodology to Assess the Actual Lighting Conditions of a Road Infrastructure

Author(s): Ana Ogando-Martínez, Francisco Troncoso-Pastoriza, Pablo Eguía-Oller, Enrique Granada-Álvarez, Aitor Erkoreka
Published in: Infrastructures, Issue 5/1, 2020, Page(s) 2, ISSN 2412-3811
DOI: 10.3390/infrastructures5010002

Comparison between Geostatistical Interpolation and Numerical Weather Model Predictions for Meteorological Conditions Mapping

Author(s): Javier López Gómez, Francisco Troncoso Pastoriza, Enrique Granada Álvarez, Pablo Eguía Oller
Published in: Infrastructures, Issue 5/2, 2020, Page(s) 15, ISSN 2412-3811
DOI: 10.3390/infrastructures5020015

Comparison of forecasting models to predict concrete bridge decks performance

Author(s): Monica Santamaria Ariza, Ivan Zambon, Hélder S. Sousa, José António Campos e Matos, Alfred Strauss
Published in: Structural Concrete, 2020, Page(s) 1-14, ISSN 1464-4177
DOI: 10.1002/suco.201900434

Automated Inspection of Railway Tunnels’ Power Line Using LiDAR Point Clouds

Author(s): Ana Sánchez-Rodríguez, Mario Soilán, Manuel Cabaleiro, Pedro Arias
Published in: Remote Sensing, Issue 11/21, 2019, Page(s) 2567, ISSN 2072-4292
DOI: 10.3390/rs11212567

Transfer Learning in urban object classification: Online images to recognize point clouds

Author(s): Jesús Balado, Ricardo Sousa, Lucía Díaz-Vilariño, Pedro Arias
Published in: Automation in Construction, Issue 111, 2020, Page(s) 103058, ISSN 0926-5805
DOI: 10.1016/j.autcon.2019.103058

Predictive Group Maintenance Model for Networks of Bridges

Author(s): Georgios M. Hadjidemetriou, Xiang Xie, Ajith K. Parlikad
Published in: Transportation Research Record: Journal of the Transportation Research Board, 2020, Page(s) 036119812091222, ISSN 0361-1981
DOI: 10.1177/0361198120912226

Automatic Processing of Aerial LiDAR Data to Detect Vegetation Continuity in the Surroundings of Roads

Author(s): Ana Novo, Noelia Fariñas-Álvarez, Joaquin Martínez-Sánchez, Higinio González-Jorge, Henrique Lorenzo
Published in: Remote Sensing, Issue 12/10, 2020, Page(s) 1677, ISSN 2072-4292
DOI: 10.3390/rs12101677

Thermographic methodologies used in infrastructure inspection: A review—Post-processing procedures

Author(s): I. Garrido, S. Lagüela, R. Otero, P. Arias
Published in: Applied Energy, Issue 266, 2020, Page(s) 114857, ISSN 0306-2619
DOI: 10.1016/j.apenergy.2020.114857

Development of Thermal Principles for the Automation of the Thermographic Monitoring of Cultural Heritage

Author(s): Iván Garrido, Susana Lagüela, Stefano Sfarra, Pedro Arias
Published in: Sensors, Issue 20/12, 2020, Page(s) 3392, ISSN 1424-8220
DOI: 10.3390/s20123392

UAV payload with collision mitigation for contact inspection

Author(s): L.M. González-deSantos, J. Martínez-Sánchez, H. González-Jorge, F. Navarro-Medina, P. Arias
Published in: Automation in Construction, Issue 115, 2020, Page(s) 103200, ISSN 0926-5805
DOI: 10.1016/j.autcon.2020.103200

Canopy detection over roads using mobile lidar data

Author(s): A. Novo, H. González-Jorge, J. Martínez-Sánchez, H. Lorenzo
Published in: International Journal of Remote Sensing, Issue 41/5, 2020, Page(s) 1927-1942, ISSN 0143-1161
DOI: 10.1080/01431161.2019.1678077

Microstructure and Thermomechanical Characterization ofFe‐28Mn‐6Si‐5Cr Shape Memory Alloy

Author(s): Antonio Collazo, Raúl Figueroa,Carmen Mariño-Martínez and Carmen Pérez
Published in: Metals, 2021, ISSN 2075-4701
DOI: 10.3390/met11040649

Fully automated methodology for the delineation of railway lanes and the generation of IFC alignment models using 3D point cloud data

Author(s): Mario Soilán, Andrea Nóvoa, Ana Sánchez-Rodríguez, Andrés Justo, Belén Riveiro
Published in: Automation in Construction, Issue 126, 2021, Page(s) 103684, ISSN 0926-5805
DOI: 10.1016/j.autcon.2021.103684

Predicting Bridge Elements Deterioration, using Collaborative Gaussian Process Regression

Author(s): Maharshi Dhada, Georgios M. Hadjidemetriou, Ajih Parlikad
Published in: 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies, 2020
DOI: 10.17863/cam.54460

SEMANTIC SEGMENTATION OF POINT CLOUDS WITH POINTNET AND KPCONV ARCHITECTURES APPLIED TO RAILWAY TUNNELS

Author(s): M. Soilán, A. Nóvoa, A. Sánchez-Rodríguez, B. Riveiro, P. Arias
Published in: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue V-2-2020, 2020, Page(s) 281-288, ISSN 2194-9050
DOI: 10.5194/isprs-annals-V-2-2020-281-2020

NEW ALGORITHM FOR THE MERGING OF GEOMETRIC ENTITIES TOWARDS THE CORRECT GENERATION OF SEMANTIC gbXML MODELS

Author(s): R. Otero, S. Lagüela, P. Arias
Published in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue XLIII-B1-2020, 2020, Page(s) 265-270, ISSN 2194-9034
DOI: 10.5194/isprs-archives-XLIII-B1-2020-265-2020

Predictive group maintenance for networks of bridges, based on condition and criticality analysis

Author(s): Georgios M. Hadjidemetriou Manuel Herrera Ajith K. Parlikad
Published in: 23rd EURO Working Group on Transportation Meeting, EWGT 2020, 2020

POINT CLOUD ROOM SEGMENTATION BASED ON INDOOR SPACES AND 3D MATHEMATICAL MORPHOLOGY

Author(s): E. Frias, J. Balado, L. Díaz-Vilariño, H. Lorenzo
Published in: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue XLIV-4/W1-2020, 2020, Page(s) 49-55, ISSN 2194-9050
DOI: 10.5194/isprs-archives-xliv-4-w1-2020-49-2020

AUTOMATIC DETECTION AND CHARACTERIZATION OF GROUND OCCLUSIONS IN URBAN POINT CLOUDS FROM MOBILE LASER SCANNING DATA

Author(s): J. Balado, E. González, E. Verbree, L. Díaz-Vilariño, H. Lorenzo
Published in: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue VI-4/W1-2020, 2020, Page(s) 13-20, ISSN 2194-9050
DOI: 10.5194/isprs-annals-vi-4-w1-2020-13-2020

POINT CLOUDS TO DIRECT INDOOR PEDESTRIAN PATHFINDING

Author(s): J. Balado, L. Díaz-Vilariño, P. Arias, E. Frías
Published in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue XLII-2/W13, 2019, Page(s) 753-759, ISSN 2194-9034
DOI: 10.5194/isprs-archives-xlii-2-w13-753-2019

POINTNET FOR THE AUTOMATIC CLASSIFICATION OF AERIAL POINT CLOUDS

Author(s): M. Soilán, R. Lindenbergh, B. Riveiro, A. Sánchez-Rodríguez
Published in: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue IV-2/W5, 2019, Page(s) 445-452, ISSN 2194-9050
DOI: 10.5194/isprs-annals-iv-2-w5-445-2019

FIRST APPROACH TO UAV-BASED CONTACT INSPECTION: A SMART PAYLOAD FOR NAVIGATION IN THE NEIGHBOURHOOD OF STRUCTURES

Author(s): L. M. González-de Santos, J. Martínez-Sánchez, H. González-Jorge, A. Novo, P. Arias
Published in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue XLII-2/W13, 2019, Page(s) 323-328, ISSN 2194-9034
DOI: 10.5194/isprs-archives-XLII-2-W13-323-2019

AUTOMATIC DETECTION OF FOREST-ROAD DISTANCES TO IMPROVE CLEARING OPERATIONS IN ROAD MANAGEMENT

Author(s): A. Novo, H. González-Jorge, J. Martínez-Sánchez, L. M. González-de Santos, H. Lorenzo
Published in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue XLII-2/W13, 2019, Page(s) 1083-1088, ISSN 2194-9034
DOI: 10.5194/isprs-archives-XLII-2-W13-1083-2019

Mode Specific Evacuation Planning in Infrastructure Risk Management

Author(s): Ben Rutten; Stefan Bollars
Published in: IABSE Symposium 2019: Towards a Resilient Built Environment - Risk and Asset Management, 2019, Page(s) 1050

Reliability analysis of a post-tensioned railway bridge exposed to corrosion effects

Author(s): Santamaría Ariza, Monica Patrícia; Sousa, Helder S.; Fernandes, Joao Nuno Duarte; Matos, José C.
Published in: IPW2019 17th International Probabilistic Workshop, 2019

Applicability of Forensic Analysis Techniques on the Improvement of Early Warning Landslides Systems and Components

Author(s): Pedroni, Lincar; Cepeda, José Mauricio; Eidsvig, Unni
Published in: Proceedings of the XVI Pan-American Conference on Soil Mechanics and Geotechnical Engineering (XVI PCSMGE), 2019, Page(s) 2620-2633
DOI: 10.3233/stal190333

Propagation of Visual Inspection on Timber Members through Bayesian Methods

Author(s): Sousa, Hélder S.; Sguazzo, Carmen; Matos, José C.; Branco, Jorge M.; Lourenço, Paulo B.
Published in: 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), 2019
DOI: 10.22725/icasp13.481

Predicting the change of hydraulic loads on bridges: a case study in Italy with a 100-year database

Author(s): Pucci, Alessandro; Sousa, Hélder S.; Matos, José C.
Published in: IABSE Symposium Congress 2019, 2019, Page(s) 443-448

TRANSFER LEARNING FOR INDOOR OBJECT CLASSIFICATION: FROM IMAGES TO POINT CLOUDS

Author(s): J. Balado, L. Díaz-Vilariño, E. Verbree, P. Arias
Published in: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue V-4-2020, 2020, Page(s) 65-70, ISSN 2194-9050
DOI: 10.5194/isprs-annals-V-4-2020-65-2020

Risk management for bridges: a case study of unforeseen failure mode

Author(s): Pucci, Alessandro Sousa, Hélder S. Matos, José C. Puppio, Mario Lucio Giresini, Linda Sassu, Mauro
Published in: IABSE Conference – Risk Intelligence of Infrastructures, 2020