Collection's Items (Sorted by Submit Date in Descending order): 1 to 10 of 10
| Issue Date | Title | Author(s) |
| 22-May-2025 | Data analytics to advance the inference of origin–destination in public transport systems: tracing network vulnerabilities and age-sensitive trip purposes. | Cerqueira, S.; Arsénio, E.; Barateiro, J.; Henriques, R. |
| Jun-2024 | CONNECT – Local coastal monitoring service for Portugal | Rodrigues, M.; Fortunato, A. B.; Martins, R.; Jesus, G.; Brito, A.; Oliveira, A.; Nahon, A.; Costa, J. L.; Alves, E.; Korani, Z.; Azevedo, A. |
| 28-Mar-2025 | Deep Learning-Based River Flow Forecasting with MLPs: Comparative Exploratory Analysis Applied to the Tejo and the Mondego Rivers | Jesus, G.; Korani, Z.; Alves, E.; Oliveira, A. |
| 15-Apr-2024 | Freight demand modeling for green and digital logistics | Cerqueira, S.; Arsénio, E.; Henriques, R.; Barateiro, J. |
| 18-Sep-2024 | Advancing green and digital logistics through spatio temporal data integration | Cerqueira, S.; Aparício, J.; Arsénio, E.; Antunes, J.P.; Henriques, R. |
| 3-Mar-2024 | Moving from classical towards machine learning stances for bus passengers’ alighting estimation: A comparison of state-of-the-art approaches in the city of Lisbon | Cerqueira, S.; Arsénio, E.; Barateiro, J.; Henriques, R. |
| 13-Dec-2023 | Is there any best practice principles to estimate bus alighting passengers from incomplete smart card transactions? | Cerqueira, S.; Arsénio, E.; Henriques, R. |
| 13-Sep-2022 | Inference of dynamic origin-destination matrices with trip and transfer status from individual smart card data | Cerqueira, S.; Arsénio, E.; Henriques, R. |
| 25-Nov-2021 | On how to incorporate public sources of situational context in descriptive and predictive models of traffic data | Cerqueira, S.; Arsénio, E.; Henriques, R. |
| Sep-2020 | Integrative analysis of traffic and situational context data to support urban mobility planning | Cerqueira, S.; Arsénio, E.; Henriques, R. |
Collection's Items (Sorted by Submit Date in Descending order): 1 to 10 of 10
