Publications

E. del Castillo-Herrera, R. García-Ródenas, L. Jimenez-Linares, M.L. López-García, J.A. López-Gómez, J.A. Martín-Baos, J. Moreno-Garcia, D. Muñoz-Valero, L. Rodriguez-Benitez, E.A. Villarrubia-Martin (2024). ROBIN: Rail mOBIlity simulatioN. Transportation Research Procedia.

Ricardo García Ródenas, María Luz López-García, Luis Cadarso, Esteve Codina (2024). An efficient greedy heuristic for the real-time train platforming problem. Computers & Operations Research.

José Ángel Martín-Baos, Ricardo García Ródenas, María Luz López-García, Luis Rodriguez-Benitez (2024). PyKernelLogit: Penalised maximum likelihood estimation of Kernel Logistic Regression in Python. Software Impacts.

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José Ángel Martín-Baos, Julio Alberto López-Gómez, Luis Rodriguez-Benitez, Tim Hillel, Ricardo García Ródenas (2023). A prediction and behavioural analysis of machine learning methods for modelling travel mode choice. Transportation Research Part C: Emerging Technologies.

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Francisca Rosell, Esteve Codina, Lídia Montero (2022). A combined and robust modal-split/traffic assignment model for rail and road freight transport. European Journal of Operational Research, Volume 303, Issue 2, 2022, Pages 688-698.

Lídia Montero, Javier Ortigosa, Xavier Alarcón, Maria Paz Linares, Marta Cuatrecasas, Jordi Cluet (2022). Demand model estimation from smartphone data. An application to assert new urbanistic development scenarios. Transportation Research Procedia, Volume 62, 2022, pages 270-277.

Ricardo García Ródenas, María Luz López-García, Luis Cadarso, Esteve Codina (2022). A Mixed-integer Linear Program for Real-time Train Platforming Management. Transportation Research Procedia, Volume 62, 2022, pages 815-823.

Luis Cadarso, Esteve Codina, Ricardo García Ródenas (2022). Microscopic Disruption Management: Energy Consumption and Passenger Compensation Optimisation. Transportation Research Procedia, Volume 62, 2022, pages 43-50.

José Carlos García-García, Ricardo García Ródenas, Julio Alberto López-Gómez, José Ángel Martín-Baos (2022). A comparative study of machine learning, deep neural networks and random utility maximization models for travel mode choice modelling. Transportation Research Procedia.

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Ester Lorente, Jaume Barceló, Esteve Codina, K. Noekel (2022). An Intermodal Dispatcher for the Assignment of Public Transport and Ride Pooling Services. Transportation Research Procedia, Volume 62, 2022, pages 450-458.

Xavier Ros-Roca, Lídia Montero, Jaume Barceló (2022). Transport analytic approaches to the dynamic origin-destination estimation problem. Transportation Research Part-C. Vol 134.

José Ángel Martín-Baos, Ricardo García Ródenas, Luis Rodriguez-Benitez (2021). A Python package for performing penalized maximum likelihood estimation of conditional logit models using Kernel Logistic Regression. Transportation Research Procedia.

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Xavier Ros-Roca, Lídia Montero, Jaume Barceló (2021). Exploring the Direct and Indirect Use of ICT Measurements in DODME (Dynamic OD Matrix Estimation). Applied Sciences 2021, 11(22) Special Issue Application of Mobile Systems in Smart Vehicles and Smart Roads.

José Ángel Martín-Baos, Ricardo García Ródenas, Luis Rodriguez-Benitez (2021). Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach. Transportation Letters.

José Carlos García-García, Ricardo García Ródenas, Esteve Codina (2020). A surrogate-based cooperative optimization framework for computationally expensive black-box problems. Optimization and Engineering, 21 (3), pp. 1053-1093.

Francisca Rosell, Esteve Codina (2020). A model that assesses proposals for infrastructure improvement and capacity expansion on a mixed railway network. Transportation Research Procedia, Volume 47, 2020, pages 441 - 448.

Grace Maureira, Esteve Codina (2020). A model for the simultaneous selection of bus lines and frequency setting problems in the expansion of public transit systems. Transportation Research Procedia, Volume 47, 2020, pages 497-504.

Ángel Marín, Esteve Codina (2020). A multi-objective programming model for timetables on corridors integrating macroscopic and microscopic approaches. Transportation Research Procedia, Volume 47, 2020, pages 67-74.

Lídia Montero, Xavier Ros-Roca (2020). Using GPS tracking data to validate route choice in OD trips within dense urban networks. Transportation Research Procedia, Volume 47, 2020, pages 593-600.

Maria Paz Linares, Lídia Montero, Josep Casanovas (2020). A Traffic Simulation Tool for Assessing Smart City Policies (CitScale). Computing in Science & Engineering ( Volume: 22, Issue: 3, May-June 1 2020).

Xavier Ros-Roca, Jaume Barceló, Lídia Montero (2019). Investigating the quality of SPSA and Spiess-like approaches for Dynamic OD Matrix Estimation. TransportMetrica-A. Volume 17 Issue 3.

Lídia Montero, Xavier Ros-Roca, R. Herranz, Jaume Barceló (2019). Fusing mobile phone data with other data sources to generate input OD matrices for transport models. Transportation Research Procedia Volume 37, 2019, pages 417-424..

Esteve Codina, Francisca Rosell (2019). A stochastic congested strategy-based transit assignment model with hard capacity constraints. Transportation Research Procedia, Volume 37, 2019, pages 298–305..

Xavier Ros-Roca, Lídia Montero, Arne Schneck, Jaume Barceló (2018). Investigating the Performance of SPSA in Simulation-Optimization Approaches to Transportation Problems. Transportation Research Procedia, Vol. 34, 2018, Pages 83-90.

Luis Cadarso, Esteve Codina, Laureano F. Escudero, Ángel Marín (2017). Rapid transit network design: considering recovery robustness and risk aversion measures. Transportation Research Procedia, Volume 22, 2017, pages 255-264..