Publications

Optimizing Pavement Maintenance with AI: A Data-Driven Framework Integrating Optimization and Machine Learning Tamagusko, T., Callai, S. C., Gomes Correia, M., Ferreira, A. International Journal of Pavement Research and Technology, online first doi.org/10.1007/s42947-026-00802-w

Data-Driven Approach for Urban Micromobility Enhancement through Safety Mapping and Intelligent Route Planning Tamagusko, T., Gomes Correia, M., Rita, L., Bostan, T.-C., Peliteiro, M., Martins, R., Santos, L., Ferreira, A. Smart Cities, 6(4), 2035–2056 doi.org/10.3390/smartcities6040094

Bikeable: Estimating cyclists' perceived safety from street-level imagery to support transport planning in Lisbon and London Rita, L., Vizoso, B., Tamagusko, T., Callai, S., Santos, L., Peliteiro, M., Ferreira, A., Santos, V. Case Studies on Transport Policy, 25, 101830 doi.org/10.1016/j.cstp.2026.101830

Optimizing Pavement Maintenance with AI: A Data-Driven Framework Integrating Optimization and Machine Learning Tamagusko, T., Callai, S. C., Gomes Correia, M., Ferreira, A. International Journal of Pavement Research and Technology, online first doi.org/10.1007/s42947-026-00802-w

Street vitality and traffic risk: a multiscale analysis of Barcelona and Warsaw Galaktionova, A., Istrate, A.-L., Tamagusko, T., Carroll, P. Accident Analysis & Prevention, 228, 108393 doi.org/10.1016/j.aap.2026.108393

Machine Learning Applications in Road Pavement Management: A Review, Challenges and Future Directions Tamagusko, T., Gomes Correia, M., Ferreira, A. Infrastructures, 9(12), 213 doi.org/10.3390/infrastructures9120213

Machine Learning for Prediction of the International Roughness Index on Flexible Pavements: A Review, Challenges, and Future Directions Tamagusko, T., Ferreira, A. Infrastructures, 8(12), 170 doi.org/10.3390/infrastructures8120170

Data-Driven Approach for Urban Micromobility Enhancement through Safety Mapping and Intelligent Route Planning Tamagusko, T., Gomes Correia, M., Rita, L., Bostan, T.-C., Peliteiro, M., Martins, R., Santos, L., Ferreira, A. Smart Cities, 6(4), 2035–2056 doi.org/10.3390/smartcities6040094

Using Deep Learning and Google Street View Imagery to Assess and Improve Cyclist Safety in London Rita, L., Nathvani, R., Peliteiro, M., Bostan, T.-C., Muller, E., Suel, E., Metzler, A. B., Tamagusko, T., Ferreira, A. Sustainability, 15(13), 10270. Author list corrected in Sustainability 17, 5047 (2025) doi.org/10.3390/su151310270

Building back better: The COVID-19 pandemic and transport policy implications for a developing megacity Hasselwander, M., Tamagusko, T., Bigotte, J. F., Ferreira, A., Mejia, A., Ferranti, E. J. S. Sustainable Cities and Society, 69, 102864 doi.org/10.1016/j.scs.2021.102864

Data-Driven Approach to Understand the Mobility Patterns of the Portuguese Population during the COVID-19 Pandemic Tamagusko, T., Ferreira, A. Sustainability, 12(22), 9775 doi.org/10.3390/su12229775

Edge-Optimized YOLO Model for Active Mobility Detection in Citizen-Led Urban AnalyticsIn press Tamagusko, T., Niroshan, L., Soubam, S., Desnoyer, T., Rogers, B., Istrate, A.-L., Pilla, F. Transport Research Arena (TRA) 2026. Presented; proceedings in press

Pavement Performance Prediction using Machine Learning: Supervised Learning with Tree-Based Algorithms Tamagusko, T., Ferreira, A. Transportation Research Procedia, 82, 2521–2531 doi.org/10.1016/j.trpro.2024.12.202

Optimizing Pothole Detection in Pavements: A Comparative Analysis of Deep Learning Models Tamagusko, T., Ferreira, A. Engineering Proceedings, 36, 11 doi.org/10.3390/engproc2023036011

Machine Learning Applied to Flexible Pavement Performance Prediction Tamagusko, T., Ferreira, A. XV Congreso de Ingeniería del Transporte (CIT 2023), San Cristóbal de La Laguna, pp. 1033–1039

Data analysis applied to airport pavement design Tamagusko, T., Ferreira, A. Road and Rail Infrastructure VII: Proceedings of the 7th International Conference on Road and Rail Infrastructure (CETRA 2022), pp. 419–425 doi.org/10.5592/CO/CETRA.2022.1364

Deep Learning applied to Road Accident Detection with Transfer Learning and Synthetic Images Tamagusko, T., Gomes Correia, M., Huynh, M. A., Ferreira, A. Transportation Research Procedia, 64, 90–97 doi.org/10.1016/j.trpro.2022.09.012

Test Site for Evaluation of High-Speed WIM and ITS Solutions in Brazilian Conditions Guerson, L., Otto, G. G., Gevaerd, B. M., Tamagusko, T., Mattar Valente, A. ICWIM7: 7th International Conference on Weigh-in-Motion & PIARC Workshop, Foz do Iguaçu, Brazil, pp. 65–74

Asphalt Pavement Performance Prediction Using Ensemble Learning Methods Tamagusko, T., Ferreira, A. In Transport Transitions: Advancing Sustainable and Inclusive Mobility, Lecture Notes in Mobility, Springer Nature Switzerland, pp. 153–159. Online October 4, 2025; print 2026 doi.org/10.1007/978-3-032-04774-8_23

Software Tools for Airport Pavement Design Tamagusko, T., Ferreira, A. In Trends and Innovations in Information Systems and Technologies, Advances in Intelligent Systems and Computing 1160, Springer, pp. 66–76 doi.org/10.1007/978-3-030-45691-7_7

Data Study Group Final Report: Transport for London - Identifying physical assets on the London Underground Data Study Group Team. T. Tamagusko: facilitator and team member The Alan Turing Institute doi.org/10.5281/zenodo.15554124