Daiva Žilionienė
Biographic Data
| ID | 6695193 |
|---|---|
| NAME | Daiva Žilionienė |
| GIVEN NAMES | Daiva |
| FAMILY NAME | Žilionienė |
| SIGNATURE | ŽILIONIENĖ D |
| AFFILIATIONS | Vilnius Gediminas Technical University |
| ORCID | 0000-0001-9647-091X |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 0 |
Using artificial neural network and multivariate analysis techniques to evaluate road operating conditions
Regional paved roads are low volume roads with a prevalence of heavy traffic. In the world, these roads concern about 80% of the total road network; however, the traffic that affects these roads is about 20%. Since regional roads are characterized by weak demand, budget for their management/maintenance is very low. This produces considerable difficulties in the choice of strategies for maintenance planning and scheduling. For this reason, the rec…
No prominent works on this page.
Using artificial neural network and multivariate analysis techniques to evaluate road operating conditions
Regional paved roads are low volume roads with a prevalence of heavy traffic. In the world, these roads concern about 80% of the total road network; however, the traffic that affects these roads is about 20%. Since regional roads are characterized by weak demand, budget for their management/maintenance is very low. This produces considerable difficulties in the choice of strategies for maintenance planning and scheduling. For this reason, the rec…
Artificial Intelligence (1 work) · Artificial neural network (1 work) · Asphalt Pavement Performance Evaluation (1 work) · Computer Science (1 work) · Infrastructure Maintenance and Monitoring (1 work) · Machine learning (1 work) · Multivariate analysis (1 work) · Multivariate statistics (1 work) · Traffic Prediction and Management Techniques (1 work)