Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/86235| Título: | Dynamic risk-based predictive models |
| Outro(s) título(s): | Dynamic Risk-based Predictive Models (D5.1) - SAFEWAY: GIS-Based Infrastructure Management System for Optimized Response to Extreme Events of Terrestrial Transport Networks |
| Autor(es): | Ariza, Monica Patrícia Santamaria Patiño, Erica llovana Arango Shahdani, Fereshteh Jafari Sousa, Hélder S. Eidsvig, Unni Nadim, Farrokh Piciullo, Luca Steinholt, Ingar Haug Klæboe, Ronny Ludvigsen, Johanna Hadjidemetriou, Georgios Matos, José C. Morais, Maria José Cruz Tanasic, Nikola Hajdin, Rade |
| Data: | 2021 |
| Resumo(s): | [Excerpt] Executive Summary The scope of this deliverable is to provide a framework for dynamic risk-based predictive models for transportation networks. First, an overview of the most common predictive models for forecasting the future condition of transportation infrastructures is presented. These models were built upon performance indicators available in large databases. Then, the possibility of updating the predictive models based on new collected information from different sources of data was introduced into the framework through Bayesian inference procedures.[...] |
| Tipo: | Relatório de investigação |
| URI: | https://hdl.handle.net/1822/86235 |
| Arbitragem científica: | no |
| Acesso: | Acesso aberto |
| Aparece nas coleções: | ISISE - Relatórios Técnicos/Científicos |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| SAFEWAY_D5.1_V1.0_Dynamic Risk-based Predictive Models.pdf | 10,16 MB | Adobe PDF | Ver/Abrir |
