• 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. (Springer, 2025-05-22)

  Knowing the passengers’ final destinations, underlying motifs, and commuting habits is critical to optimise public transportation systems, guide urban planning and contribute to a more sustainable urban mobility. In ...
• 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. (LNEC, 2024-06)

  CONNECT provides a local, high-resolution, coastal monitoring service. It integrates model-based forecasts and observations to provide physical and biogeochemical data on Portuguese estuaries. The service is demonstrated ...
• 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. (MDPI, 2025-03-28)

  Abstract: This paper presents an innovative service for river flow forecasting and its demonstration in two dam-controlled rivers in Portugal, Tejo, and Mondego rivers, based on using Multilayer Perceptron (MLP) models ...
• Freight demand modeling for green and digital logistics 

  Cerqueira, S.; Arsénio, E.; Henriques, R.; Barateiro, J. (Springer, 2024-04-15)

  Freight transport demand modelling (FTDM) from dispatch logs and partial observations play a key role in providing realistic expectations of freight transport needs and in assessing the environmental impacts of new policies. ...
• Advancing green and digital logistics through spatio temporal data integration 

  Cerqueira, S.; Aparício, J.; Arsénio, E.; Antunes, J.P.; Henriques, R. (Association for European Transport, 2024-09-18)

  The integration of context-rich sources of freight transport data is necessary for devising data-grounded strategies to enhance green and digital logistics, yet largely challenged by three major aspects: data heterogeneity, ...
• 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. (Elsevier, 2024-03-03)

  Passenger alighting estimation is a critical task in public transport (PT) management, especially for entry-only Automatic Fare Collection (AFC) transport systems where passenger alighting are not recorded. Effective ...
• Is there any best practice principles to estimate bus alighting passengers from incomplete smart card transactions? 

  Cerqueira, S.; Arsénio, E.; Henriques, R. (Elsevier, 2023-12-13)

  Promoting the accuracy and coverage of the alighting of passengers in public transport is essential to support route planning and policy decisions aiming to sustainable mobility. Although previous studies place several ...
• Inference of dynamic origin-destination matrices with trip and transfer status from individual smart card data 

  Cerqueira, S.; Arsénio, E.; Henriques, R. (Springer, 2022-09-13)

  The provision of seamless public transport supply requires a complete understanding of the real traffic dynamics, comprising origin-to-destination multimodal mobility patterns along the transport network. However, most ...
• On how to incorporate public sources of situational context in descriptive and predictive models of traffic data 

  Cerqueira, S.; Arsénio, E.; Henriques, R. (Springer, 2021-11-25)

  Background. European cities are placing a larger emphasis on urban data consolidation and analysis for optimizing public transport in response to changing urban mobility dynamics. Despite the existing efforts, traffic data ...
• Integrative analysis of traffic and situational context data to support urban mobility planning 

  Cerqueira, S.; Arsénio, E.; Henriques, R. (Association for European Transport (AET), 2020-09)

  European cities are placing a larger emphasis on urban data consolidation and analysis for optimizing public transportation in response to urban mobility dynamics. In spite of the existing efforts, traffic data analysis ...

View more