Publicaties
2026
Learning to learn the macroscopic fundamental diagram using physics-informed and model agnostic machine learning (2026)Transportation research. Part C: Emerging technologies, 189. Article 105707 (E-pub ahead of print/First online). Roark, A., Agriesti, S., Pereira, F. C. & Cantelmo, G.https://doi.org/10.1016/j.trc.2026.105707Simulation-based assessment of operational ridesharing strategies for shared autonomous vehicles in large-scale networks (2026)European transport research review, 18(1). Article 28 (E-pub ahead of print/First online). Zhou, Z., Agriesti, S., Roncoli, C., Yfantis, L., Casas, J. & Nahmias-Biran, B.-H.https://doi.org/10.1186/s12544-026-00787-4
2025
From Urban Data to City-Scale Models: A Review of Traffic Simulation Case Studies (2025)IET Intelligent Transport Systems, 19(1). Article e70021. Bochenina, K., Agriesti, S., Roncoli, C. & Ruotsalainen, L.https://doi.org/10.1049/itr2.70021An Equilibrium-Seeking Search Algorithm for Integrating Large-Scale Activity-Based and Traffic Assignment Models (2025)IEEE Open Journal of Intelligent Transportation Systems, 6, 1156-1170. Agriesti, S., Roncoli, C. & Nahmias-Biran, B.-H.https://doi.org/10.1109/OJITS.2025.3600918A simulation-based framework for quantifying potential demand loss due to operational constraints in automated mobility services (2025)Transportation research. Part A: Policy and practice, 192. Article 104372. Agriesti, S., Roncoli, C. & Nahmias-Biran, B.-h.https://doi.org/10.1016/j.tra.2024.104372Learning Traffic Flows: Graph Neural Networks for Metamodelling Traffic Assignment (2025)In 2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2025. IEEE. Lassen, O. B., Agriesti, S., Eldafrawi, M., Gammelli, D., Cantelmo, G., Gentile, G. & Pereira, F. C.https://doi.org/10.1109/MT-ITS68460.2025.11223524
2024
The data that support the findings of a review paper "From urban data to city-scale models: A review of traffic simulation case studies" (2024)[Dataset Types › Dataset]. Zenodo. Bochenina, K. & Agriesti, S.https://doi.org/10.5281/zenodo.13311536Correction to: Assignment of a Synthetic Population for Activity-Based Modeling Employing Publicly Available Data (ISPRS International Journal of Geo-Information, (2022), 11, 2, (148), 10.3390/ijgi11020148) (2024)ISPRS international journal of geo-information, 13(8). Article 284. Agriesti, S., Roncoli, C. & Nahmias-Biran, B.-H.https://doi.org/10.3390/ijgi13080284Evaluating sustainability in simulations of automated and connected transport (2024)In Transport and Sustainability (pp. 47-64) (Transport and Sustainability; Vol. 19). Emerald. Dadashzadeh, N., Agriesti, S., Sadid, H., Elvarsson, A. B., Roncoli, C. & Antoniou, C.https://doi.org/10.1108/S2044-994120240000019003
2023
A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models (2023)IEEE Open Journal of Intelligent Transportation Systems, 4, 740-754. Agriesti, S., Kuzmanovski, V., Hollmen, J., Roncoli, C. & Nahmias-Biran, B.-H.https://doi.org/10.1109/OJITS.2023.3321110
Onderzoeksprofielen
Vakken collegejaar 2026/2027
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Adres
Universiteit Twente
Horst Complex (gebouwnr. 20), kamer Z212
De Horst 2
7522 LW Enschede
Universiteit Twente
Horst Complex Z212
Postbus 217
7500 AE Enschede
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