S. Agriesti | People Pages: Find employees & contact details | University of Twente

Serio Agriesti is an assistant professor in AI-based transport modelling. His research activities focus on machine learning in traffic simulations, on improving the performance of meta-models in disrupted mobility scenarios and on designing large-scale transport models. Before working at the University of Twente, he has been a postdoctoral researcher at the Technical University of Denmark (DTU). He has been involved in multiple European research projects and is part of the EIT Urban Mobility Doctoral Training Network. Serio received the Ph.D. degree from Aalto University, his Doctoral thesis focused on agent-based modeling, performance evaluation, and connected and automated driving. He was a research fellow with the Politecnico di Milano, where he focused on the impact assessment of innovative transport systems, such as connected and automated vehicles and truck platooning.

Organisations

Publications

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

Research profiles

Courses academic year 2026/2027

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Address

University of Twente

Horst Complex (building no. 20), room Z212
De Horst 2
7522 LW Enschede
Netherlands

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