Publications

2024

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Article Sfeir, G., Rodrigues, F., Abou-Zeid, M., Pereira, F. C.
Analyzing the reporting error of public transport trips in the Danish national travel survey using smart card data [PDF]
in Transportation, 2024
Conference Rodrigues, F.
Efficient assisted utility specification in mixed logit models with continuous and discrete mixing distributions
in 8th International Choice Modelling Conference, 2024
Conference Sfeir, G., Rodrigues, F., Pereira, F. C.
Generative latent class choice models: Enriching smart card data with travel surveys using variational auto encoders
in 8th International Choice Modelling Conference, 2024
Conference Sfeir, G., Rodrigues, F., Seshadri, R., Tulunay, I., Azevedo, C. L.
Identifying choice sets for public transport route choice models using smart-card data: generated vs. empirical sets
in 17th International Conference on Travel Behaviour Research, 2024
Conference Sfeir, G., Rodrigues, F., Abou-Zeid, M., Pereira, F. C.
Analyzing the reporting error of public transport trips in the Danish national travel survey using smart card data
in 103rd Transportation Research Board Annual Meeting, 2024
Article Li, Z., Huang, P., Wen, C., Rodrigues, F.
Railway Network Delay Evolution: A Heterogeneous Graph Neural Network Approach [PDF]
in Applied Soft Computing Journal, 2024
Article Costa, M., Azevedo, C. L., Siebert, F. W., Marques, M., Moura, F.
Unraveling the relation between cycling accidents and built environment typologies: Capturing spatial heterogeneity through a latent class discrete outcome model [PDF]
in Accident Analysis & Prevention, 2024
Article Liu, R., Wang, D. Z., Jiang, Y., Seshadri, R., Azevedo, C. L.
Tradable credit schemes with peer-to-peer trading mechanisms [PDF]
in Transportation Researach Part C: Emerging Technologies, 2024
Article Siebert, F. W., Riis, C., Hyldekær Janstrup, K., Lin, H., Kristensen, J., Gül, O., Boe Hüttel, F.
Automated detection of bicycle helmets using deep learning [PDF]
in Journal of Cycling and Micromobility Research, 2024
Article Garus, A., Orena, B. A., Raposo, M. A., Mourtzouchou, A., Pinera, R. C., Mourtzouchou, A., Azevedo, C. L., dell’Olio, L., Seshadri, R., Monteiro, M. M., Ciuffo, B.
Estimation of Environmental Rebound Effect Induced by Shared Automated Passenger Transport Service in a Mid-Size European City via Microsimulation [PDF]
in Transportation Research Record, 2024
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2023

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Article Lahoz, L. T., Pereira, F. C., Sfeir, G., Arkoudi, I., Monteiro, M. M., Azevedo, C. L.
Attitudes and Latent Class Choice Models using Machine Learning [PDF]
in Journal of Choice Modelling, 2023
Article Siebert, F. W., Riis, C., Janstrup, K. H., Lin, H., Hüttel, F. B.
Computer vision-based helmet use registration for e-scooter riders – The impact of the mandatory helmet law in Copenhagen [PDF]
in Journal of Safety Research, 2023
Article Arkoudi, I., Krueger, R., Lima Azevedo, C., Pereira, F. C.
Combining discrete choice models and neural networks through embeddings: Formulation, interpretability and performance [PDF]
in Transportation Research Part B: Methodological, 2023
Article Parslov, A., Petersen, N. C., Rodrigues, F.
Short-term bus travel time prediction for transfer synchronization with intelligent uncertainty handling [PDF]
in Expert Systems with Applications, 2023
Article Li, Z., Huang, P., Wen, C., Li, J., Rodrigues, F.
Prediction of departure delays at original stations using deep learning approaches: A combination of route conflicts and rolling stock connections [PDF]
in Expert Systems with Applications, 2023
Article Monteiro, M. M., Lima Azevedo, C., Lamargianni, M., Cantelmo, G., Shoshany Tavory, S., Gal-Tzur, A., Antomiou, C., Shiftan, Y.
Car-Sharing Subscription Preferences and the Role of Incentives: The Case of Copenhagen, Munich, and Tel Aviv-Yafo [PDF]
in Case Studies on Transport Policy, 2023
Article Chen, S., Seshadri, R., Lima Azevedo, C., Akkinepally, A. P., Liu, R., Araldo, A., Jiang, Y., Ben-Akiva, M.
Market design for tradable mobility credits [PDF]
in Transportation Research Part C: Emerging Technologies, 2023
Article Janstrup, K. H., Kostic, B., Møller, M., Rodrigues, F., Borysov, S., Pereira, F. C.
Predicting injury-severity for cyclist crashes using natural language processing and neural network modelling [PDF]
in Safety Science, 2023
Conference Milia, K., Duss Hedengran, M., Jansson, T., Rodrigues, F., Lima Azevedo, C.
Forecasting Parking Search Times Using Big Data [PDF]
in Proceedings of the 12th International Scientific Conference on Mobility and Transport, 2023
Conference Garus, A., Alonso Oreña, B., Alonso Raposo, M., Cordera Piñera, A., Mourtzouchou, R., Lima Azevedo, C., dell’Olio, L., Seshadri, R., Monteiro, M. M., Ciuffo, B.
Estimation of environmental rebound effect induced by shared automated passenger transport service in a mid-size European city via microsimulation
in 102nd Transportation Research Board Annual Meeting, 2023
Conference Riis, C., Antunes, F., Bolic, T., Gurtner, G., Pereira, F. C., Lima Azevedo, C.
Opening the Simulation Box: Towards Explainable Metamodels for Enhanced Air Traffic Management Performance Assessment [PDF]
in 102nd Transportation Research Board Annual Meeting, 2023
Conference Hüttel, F. B., Rodrigues, F., Pereira, F. C.
Mind the Gap -- Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand [PDF]
in 102nd Transportation Research Board Annual Meeting, 2023
Article Tygesen, M. N., Pereira, F. C., Rodrigues, F.
Unboxing the graph: Towards interpretable graph neural networks for transport prediction through neural relational inference [PDF]
in Transportation Research Part C: Emerging Technologies, 2023
Article You, L., Danaf, M., Zhao, F., Guan, J., Lima Azevedo, C., Atasoy, B., Ben-Akiva, M.
A Federated Platform Enabling a Systematic Collaboration Among Devices, Data and Functions for Smart Mobility [PDF]
in IEEE Transactions on Intelligent Transportation Systems, 2023
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2022

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Conference Riis, C., Antunes, F., Bolic, T., Gurtner, G., Pereira, F. C., Lima Azevedo, C.
Explainable Metamodels for ATM Performance Assessment [PDF]
in 12th SESAR Innovation Days, 2022
Conference Sánchez-Cauce, R., Riis, C., Antunes, F., Cantú Ros, O. G., Mocholi, D., Pereira, F. C., Herranz, R., Lima Azevedo, C.
Active Learning Metamodelling for R-NEST [PDF]
in 12th SESAR Innovation Days, 2022
Conference Gammelli, D., Yang, K., Harrison, J., Rodrigues, F., Pereira, F. C., Pavone, M.
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand [PDF]
in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
Article Riis, C., Antunes, F., Hüttel, F. B., Lima Azevedo, C., Pereira, F. C.
Bayesian Active Learning with Fully Bayesian Gaussian Processes [PDF]
in Proceedings of the Thirty-sixth Conference on Neural Information Processing Systems. New Orleans, LA, USA, November, 2022
Conference Gammelli, D., Yang, K., Harrison, J., Rodrigues, F., Pereira, F. C., Pavone, M.
Reinforcement Learning for Autonomous Mobility-on-Demand Systems [PDF]
in Trafikdage på Aalborg Universitet, 2022
Conference Siebert, F. W., Riis, C., Kristensen, J., Gül, O., Janstrup, K. H., Lin, H., Pereira, F. C., Hüttel, F. B.
Feasibility of detecting cyclists’ phone use with computer vision [PDF]
in Trafikdage på Aalborg Universitet, 2022
Conference Rodrigues, F.
Machine learning approaches for transport predictions problems: are we making progress in the right direction? [PDF]
in Trafikdage på Aalborg Universitet, 2022
Conference Flensburg, J. V., Lima Azevedo, C., Rodrigues, F., Cerreto, F.
Machine learning til realtidsforudsigelser af oprindelse-til-destination efterspørgsel for jernbaner med smart card og udbudsdata [PDF]
in Trafikdage på Aalborg Universitet, 2022
Conference Monteiro, M. M., Seshadri, R., Lima Azevedo, C.
Estimating and implementing a Danish activity-based model in SimMobility [PDF]
in Trafikdage på Aalborg Universitet, 2022
Article Han, Y., Pereira, F. C., Ben-Akiva, M., Zegras, C.
A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability [PDF]
in Transportation Research Part B: Methodological, 2022
Article Hüttel, F. B., Peled, I., Rodrigues, F., Pereira, F. C.
Modeling Censored Mobility Demand Through Censored Quantile Regression Neural Networks [PDF]
in IEEE Transactions on Intelligent Transportation Systems, 2022
Article Cantelmo, G., Amini, R. E., Monteiro, M. M., Frenkel, A., Lerner, O., Tavory, S. S., Galtzur, A., Kamargianni, M., Shiftan, Y., Behrischi, C., Lima Azevedo, C., Haustein, S., Antoiniou, C.
Aligning users’ and stakeholders’ needs: How incentives can reshape the carsharing market [PDF]
in Transport Policy, 2022
Article Conceição, M. A., Monteiro, M. M., Kasraian, D., van den Berg, P., Haustein, S., Alves, I., Lima Azevedo, C., Miranda, B.
The effect of transport infrastructure, congestion and reliability on mental wellbeing: a systematic review of empirical studies [PDF]
in Transport Reviews, 2022
Article Liu, R., Chen, S., Jiang, Y., Seshadri, R., Ben-Akiva, M. E., Lima Azevedo, C.
Managing network congestion with a trip- and area-based tradable credit scheme [PDF]
in Transportmetrica B: Transport Dynamics, 2022
Article Gammelli, D., Rodrigues, F.
Recurrent flow networks: A recurrent latent variable model for density estimation of urban mobility [PDF]
in Pattern Recognition, 2022
Article Gammelli, D., Rolsted, K. P., Pacino, D., Rodrigues, F.
Generalized multi-output Gaussian process censored regression [PDF]
in Pattern Recognition, 2022
Article Bansal, P., Kessels, R., Krueger, R., Graham, D.
Preferences for using the London Underground during the COVID-19 pandemic [PDF]
in Transportation Research Part A: Policy and Practice, 2022
Article Antunes, F., Amorim, M., Pereira, F. C., Ribeiro, B.
Active learning metamodelling for survival rate analysis of simulated emergency medical systems [PDF]
in Transportmetrica A: Transport Science , 2022
Article Gammelli, D., Wang, Y., Prak, D., Rodrigues, F., Minner, S., Pereira, F. C.
Predictive and prescriptive performance of bike-sharing demand forecasts for inventory management [PDF] [Code]
in Transportation Research Part C: Emerging Technologies, 2022
Article Zhongcan, L., Ping, H., Chao, W., Xi, J., Rodrigues, F.
Prediction of train arrival delays considering route conflicts at multi-line stations [PDF]
in Transportation Research Part C: Emerging Technologies, 2022
Article Rodrigues, F.
Scaling Bayesian inference of mixed multinomial logit models to large datasets [PDF] [Code]
in Transportation Research Part B: Methodological, 2022
Conference Monteiro, M. M., Lima Azevedo, C., Kamargianni, M., Shiftan, Y., Gal-Tzur, A., Tavory, S. S., Antoniou, C., Cantelmo, G.
Car-Sharing Subscription Preferences: The Case of Copenhagen, Munich, and Tel Aviv-Yafo [PDF]
in 101th Transportation Research Board Annual Meeting, 2022
Conference Riis, C., Antunes, F., Gurtner, G., Pereira, F. C., Delgado, L., Lima Azevedo, C.
Active Learning for Air Traffic Management Simulation Metamodeling [PDF]
in 101th Transportation Research Board Annual Meeting, 2022
Article Baburajan, V., de Abreu e Silva, J., Pereira, F. C.
Open vs closed-ended questions in attitudinal surveys – Comparing, combining, and interpreting using natural language processing [PDF]
in Transportation Research Part C: Emerging Technologies, 2022
Article Sfeir, G., Rodrigues, F., Abou-Zeid, M.
Gaussian process latent class choice models [PDF]
in Transportation Research Part C: Emerging Technologies, 2022
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2021

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Conference Riis, C., Antunes, F., Gurtner, G., Pereira, F. C., Delgado, L., Lima Azevedo, C.
Active Learning Metamodels for ATM Simulation Modeling [PDF]
in Proceedings of the 11th SESAR Innovation Days, 2021
Article Garrido, S., Stanislav, B., Jeppe, R., Pereira, F. C.
Estimating causal effects with the neural autoregressive density estimator [PDF]
in Journal of Causal Inference, 2021
Article Martin, J., Oliver, B., Garrido, S., Pereira, F. C.
Population synthesis for urban resident modeling using deep generative models [PDF]
in Neural Computing and Applications, in press, 2021
Conference Liu, R., Jiang, Y., Lima Azevedo, C.
Bayesian Optimization of Area-based Road Pricing [PDF]
in Proceedings of the 2021 7'th Ieee International Conference on Models and Technologies for Intelligent Transportation Systems (mt-its), 2021
Article Ortelli, N., Hillel, T., Pereira, F. C., de Lapparent, M., Bierlaire, M.
Assisted specification of discrete choice models [PDF]
in Journal of Choice Modelling, 2021
Article Zhang, H., Seshadri, R., Akkinepally, A. P., Antoniou, C., Pereira, F. C., Ben-Akiva, M. E.
Improving the accuracy and efficiency of online calibration for simulation-based Dynamic Traffic Assignment [PDF]
in Transportation Research Part C: Emerging Technologies, 2021
Article Duran-Rodas, D., Wright, B., Pereira, F. C., Wulfhorst, G.
Demand And/oR Equity (DARE) method for planning bike-sharing [PDF]
in Transportation Research Part D: Transport and Environment, 2021
Article Sfeir, G., Abou-Zeid, M., Rodrigues, F., Pereira, F. C., Kaysi, I.
Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach [PDF]
in Journal of Choice Modelling, 2021
Conference Gammelli, D., Rodrigues, F.
Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban Mobility [PDF] [Code]
in ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models, 2021
Conference Hüttel, F. B., Peled, I., Rodrigues, F., Pereira, F. C.
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand [PDF]
in ICML Workshop on Tackling Climate Change with Machine Learning, 2021
PhDThesis Peled, I.
Machine Learning Methods for Transportation under Uncertainty [PDF]
in DTU Orbit, 2021
Article Kostic, B., Loft, M. P., Rodrigues, F., Borysov, S.
Deep survival modelling for shared mobility [PDF]
in Transportation Research Part C: Emerging Technologies, 2021
Article Gammelli, D., Yang, K., Harrison, J., Rodrigues, F., Pereira, F. C., Pavone, M.
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems [PDF] [Code]
in The 60th IEEE Conference on Decision and Control, 2021
Article Shiftan, Y., Frenkel, A., Gal-Tzur, A., Shoshany, S., Tavory, O. L., Antoniou, C., Cantelmo, G., Amini, R. E., Lima Azevedo, C., Monteiro, M. M., Kamargianni, M., Scheinkman Shachar, F., Israel, D., Behrisch, C., Schiff, K., Shalev, J., Peretz, D.
SHAREd MObility Rewards: summary report [PDF]
in DTU Orbit, 2021
Conference Monteiro, M. M., Thorhauge, M., de Abreu e Silva, J., Sousa, J.
The Role Of Accessibility To Public Transport On Residential Location Choice Of Temporary Residents: The Case Of Porto And Copenhagen [PDF]
in 100th Transportation Research Board Annual Meeting, 2021
Conference Duran, D., Pereira, F. C., Wulfhorst, G.
Demand And/oR Equity (DARE) Method to Plan Bike-sharing Systems: A Structural Equation Modelling Approach
in 100th Transportation Research Board Annual Meeting, 2021
Conference Arkoudi, I., Viegas de Lima, I., Lima Azevedo, C., Pereira, F. C.
Generation of Activity Sequences using Dynamic Bayesian Networks with Latent Variables [PDF]
in 100th Transportation Research Board Annual Meeting, 2021
Conference Lampros, Y., Chaniotakis, E., Dominguez, F. P., Rasmussen, T., Kamargianni, M., Lima Azevedo, C.
Optimal Multimodal and Multicriteria Path Set Computation for Dynamic Trip Planning in Mobility as a Service Systems
in 100th Transportation Research Board Annual Meeting, 2021
Article Monteiro, M. M., de Abreu e Silva, J., Haustein, S., Pinho de Sousa, J.
Urban travel behavior adaptation of temporary transnational residents [PDF]
in Journal of Transport Geography, 2021
Article Peled, I., Lee, K., Jiang, Y., Dauwels, J., Pereira, F. C.
On the Quality Requirements of Demand Prediction for Dynamic Public Transport [PDF]
in Communications in Transportation Research, Vol. 1, 2021
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2020

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Article Duran-Rodas, D., Villeneuve, D., Pereira, F. C., Wulfhorst, G.
How fair is the allocation of bike-sharing infrastructure? Framework for a qualitative and quantitative spatial fairness assessment [PDF]
in Transportation Research Part A: Policy and Practice, 2020
Conference Peled, I., Gammelli, D., Rodrigues, F., Pacino, D., Pereira, F. C.
Modeling Transport Data under Stochastic and Latent Censorship [PDF]
in 9th Symposium of the European Association for Research in Transportation (hEART), 2020
Article Baburajan, V., de Abreu e Silva, J., Pereira, F. C.
Open-Ended Versus Closed-Ended Responses: A Comparison Study Using Topic Modeling and Factor Analysis [PDF]
in IEEE Transactions on Intelligent Transportation Systems, 2020
Conference Eckert, J. B., López, D., Lima Azevedo, C., Farooq, B.
A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility [PDF]
in 2020 Forum on Integrated and Sustainable Transportation Systems (FISTS), 2020
Article Servizi, V., Petersen, N. C., Pereira, F. C., Nielsen, O. A.
Stop detection for smartphone-based travel surveys using geo-spatial context and artificial neural networks [PDF]
in Transportation Research Part C: Emerging Technologies, 2020
Article Borysov, S., Rich, J.
Introducing synthetic pseudo panels: application to transport behaviour dynamics [PDF]
in Transportation, 2020
Article Liu, R., Chen, S., Jiang, Y., Seshadri, R., Ben-Akiva, M. E., Lima Azevedo, C.
Managing network congestion with tradable credit scheme: a trip-based MFD approach [PDF]
in arXiv, 2020
Article Sfeir, G., Abou-Zeid, M., Rodrigues, F., Pereira, F. C., Kaysi, I.
Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach [PDF]
in arXiv, 2020
Article Gammelli, D., Rolsted, K. P., Pacino, D., Rodrigues, F.
Generalized Multi-Output Gaussian Process Censored Regression [PDF] [Code]
in arXiv, 2020
Article Rodrigues, F., Ortelli, N., Bierlaire, M., Pereira, F. C.
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models [PDF] [Code]
in IEEE Transactions on Intelligent Transportation Systems, 2020
Article Gammelli, D., Rodrigues, F.
Recurrent Flow Networks: A Recurrent Latent Variable Model for Spatio-Temporal Density Modelling [PDF] [Code]
in arXiv, 2020
Article Rodrigues, F., Pereira, F. C.
Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems [PDF]
in IEEE Transactions on Neural Networks and Learning Systems, 2020
Article Lima Azevedo, C., Monteiro, M. M.
SHAREd MObility REwards 1st Report (ID 20045): Qualitative Stakeholders Needs Analysis
in DTU Orbit, 2020
Article Oke, J., Akkinepally, A. P., Chen, S., Xie, Y., Aboutaleb, Y. M., Lima Azevedo, C., Zegras, P. C., Ferreira, J., Ben-Akiva, M. E.
Evaluating the systemic effects of automated mobility-on-demand services via large-scale agent-based simulation of auto-dependent prototype cities [PDF]
in Transportation Research Part A: Policy and Practice, Vol. 140, pp. 98--126, 2020
Article Chen, S., Akkinepally, A. P., Lima Azevedo, C., Ben-Akiva, M. E.
Formulation and solution approach for calibrating activity-based travel demand model-system via microsimulation [PDF]
in Transportation Research Part C: Emerging Technologies, Vol. 119, 2020
Conference Persson, D. R., Servizi, V., Hansen, T. L., Bækgaard, P.
Using Augmented Reality to Mitigate Blind Spots in Trucks [PDF]
in International Conference on Human-Computer Interaction, Vol. 12212, pp. 379--392, 2020
Article Kinra, A., Beheshti-Kashi, S., Buch, R., Sick, T. A. N., Pereira, F. C.
Examining the potential of textual big data analytics for public policy decision-making: A case study with driverless cars in Denmark [PDF]
in Transport Policy, in press, 2020
Article Oh, S., Seshadri, R., Lima Azevedo, C., Kumar, N., Basak, K., Ben-Akiva, M. E.
Assessing the impacts of automated mobility-on-demand through agent-based simulation: A study of Singapore [PDF]
in Transportation Research Part A: Policy and Practice, 2020
Article Dalla Chiara, G., Cheah, L., Lima Azevedo, C., Ben-Akiva, M. E.
A Policy-Sensitive Model of Parking Choice for Commercial Vehicles in Urban Areas [PDF]
in Transportation Science, 2020
Article Rodrigues, F.
Scaling Bayesian inference of mixed multinomial logit models to very large datasets [PDF]
in arXiv, 2020
Article Nahmias-Biran, B., Oke, J., Kumar, N., Lima Azevedo, C., Ben-Akiva, M.
Evaluating the impacts of shared automated mobility on-demand services: an activity-based accessibility approach [PDF]
in Transportation, 2020
Article Peled, I., Kamalakar, R., Lima Azevedo, C., Pereira, F. C.
QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters [PDF] [Code]
in Journal of Simulation, 2020
Article Fournier, N., Christofa, E., Akkinepally, A. P., Lima Azevedo, C.
Integrated population synthesis and workplace assignment using an efficient optimization-based person-household matching method [PDF]
in Transportation, 2020
Article Gammelli, D., Peled, I., Rodrigues, F., Pacino, D., Kurtaran, H. A., Pereira, F. C.
Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes [PDF] [Code]
in Transportation Research Part C: Emerging Technologies, 2020
Article Kostic, B., Crastes dit Sourd, R., Hess, S., Scheiner, J., Holz-Rau, C., Pereira, F. C.
Uncovering life-course patterns with causal discovery and survival analysis [PDF]
in arXiv, 2020
Conference Gupta, S., Seshadri, R., Atasoy, B., Akkinepally, A., Pereira, F. C., Tan, G., Ben-Akiva, M.
Real-Time Predictive Control Strategy Optimization
in Proceedings of the 99th Annual Meeting of the Transportation Research Board, 2020
Conference Nahmias-Biran, B., Oke, J., Kumar, N., Akkinepally, A. P., Lima Azevedo, C., Ferreira, J., Zegras, P. C., Ben-Akiva, M.
Who Benefits from Autonomous Vehicles (AVs)?: Equity Aspects of AV Policies in a Full-Scale Prototype Cities
in Proceedings of the 99th Annual Meeting of the Transportation Research Board, 2020
Conference Oke, J., Akkinepally, A. P., Chen, S., Aboutaleb, Y. M., Xie, Y., Nahmias-Biran, B., Lima Azevedo, C., Zegras, P. C., Ferreira, J., Ben-Akiva, M.
Simulation and Evaluation of Automated Mobility On-Demand Strategies in Dense Transit-Oriented Cities
in Proceedings of the 99th Annual Meeting of the Transportation Research Board, 2020
Conference Sfeir, G., Abou-Zeid, M., Rodrigues, F., Pereira, F. C.
Gaussian Mixture Models Meet Econometric Models
in Proceedings of the 99th Annual Meeting of the Transportation Research Board, 2020
Conference Gammelli, D., Rodrigues, F., Pacino, D., Kurtaran, H. A., Pereira, F. C.
A Machine Learning Approach to Censored Bike-Sharing Demand Modeling
in Proceedings of the 99th Annual Meeting of the Transportation Research Board, 2020
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2019

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Article Peled, I., Lee, K., Jiang, Y., Dauwels, J., Pereira, F. C.
Online Predictive Optimization Framework for Stochastic Demand-Responsive Transit Services [PDF]
in arXiv, 2019
Conference Petersen, N. C., Rodrigues, F., Pereira, F. C.
Multi-output Deep Learning for Bus Arrival Time Predictions [PDF]
in Transportation Research Procedia, Vol. 41, pp. 138--145, 2019
Article Antunes, F., Amorim, M., Pereira, F. C., Ribeiro, B.
Active learning metamodeling for policy analysis: Application to an emergency medical service simulator [PDF]
in Simulation Notes Europe, Vol. 97, 2019
Article Dastjerdi, A. M., Kaplan, S., de Abreu e Silva, J., Nielsen, O. A., Pereira, F. C.
Use intention of mobility-management travel apps: The role of users goals, technophile attitude and community trust [PDF]
in Transportation Research Part A: Policy and Practice, Vol. 126, pp. 114--135, 2019
Article Servizi, V., Pereira, F. C., Anderson, M. K., Nielsen, O. A.
Mining User Behaviour from Smartphone data, a literature review [PDF]
in arXiv, 2019
Book Atasoy, B., Lima Azevedo, C., Akkinepally, A. P., Seshadri, R., Zhao, F., Abou-Zeid, M.
SMART mobility via prediction, optimization and personalization
in Demand for Emerging Transportation Systems: Modeling Adoption, Satisfaction, and Mobility Patterns, 2019
Conference Rodrigues, F., Lima Azevedo, C.
Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures [PDF] [Code]
in Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019
Conference Peled, I., Lee, K., Jiang, Y., Dauwels, J., Pereira, F. C.
Preserving Uncertainty in Demand Prediction for Autonomous Mobility Services [PDF]
in Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019
Article Cavadas, J., Lima Azevedo, C., Farah, H., Ferreira, A.
Road safety of passing maneuvers: A bivariate extreme value theory approach under non-stationary conditions [PDF]
in Accident Analysis & Prevention, 2019
Book Borysov, S., Lima Azevedo, C., Pereira, F. C.
Smart Mobility [PDF]
in DTU International Energy Report 2019: Transforming Urban Mobility, 2019
Article Borysov, S., Rich, J., Pereira, F. C.
How to generate micro-agents? A deep generative modeling approach to population synthesis [PDF]
in Transportation Research Part C: Emerging Technologies, 2019
Article Oke, O., Aboutaleb, Y. M., Akkinepally, A. P., Lima Azevedo, C., Han, Y., Zegras, P. C., Ferreira, J., Ben-Akiva, M.
A novel global urban typology framework for sustainable mobility futures [PDF]
in Environmental Research Letters, 2019
Article Petersen, N. C., Rodrigues, F., Pereira, F. C.
Multi-output bus travel time prediction with convolutional LSTM neural network [PDF]
in Expert Systems with Applications, Vol. 120, 2019
Article Oh, S., Seshadri, R., Lima Azevedo, C., Ben-Akiva, M. E.
Demand Calibration of Multimodal Microscopic Traffic Simulation using Weighted Discrete SPSA [PDF]
in Transportation Research Record: Journal of the Transportation Research Board, 2019
PhDThesis Markou, I.
Detection, analysis and prediction of traffic anomalies due to special events [PDF]
in DTU Orbit, 2019
Article Markou, I., Kaiser, K., Pereira, F. C.
Predicting taxi demand hotspots using automated Internet Search Queries [PDF]
in Transportation Research Part C: Emerging Technologies, Vol. 102, pp. 73--86, 2019
Article Markou, I., Rodrigues, F., Pereira, F. C.
Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information [PDF]
in IEEE Transactions on Intelligent Transportation Systems, 2019
Article Danaf, M., Atasoy, B., Lima Azevedo, C., Ding-Mastera, J., Abou-Zeid, M., Cox, N., Zhao, F., Ben-Akiva, M.
Context-aware stated preferences with smartphone-based travel surveys [PDF]
in Journal of Choice Modelling, 2019
Article Dastjerdi, A. M., Kaplan, S., de Abreu e Silva, J., Nielsen, O. A., Pereira, F. C.
Participating in environmental loyalty program with a real-time multimodal travel app: User needs, environmental and privacy motivators [PDF]
in Transportation Research Part D: Transport and Environment, Vol. 67, pp. 223--243, 2019
Conference Antunes, F., Amorim, M., Ribeiro, B., Pereira, F. C.
An Active Learning Metamodeling Approach for Policy Analysis: Application to an Emergency Medical Service Simulator [PDF]
in Proceedings of the 98th Annual Meeting of the Transportation Research Board, 2019
Conference Dastjerdi, A. M., Kaplan, S., de Abreu e Silva, J., Nielsen, O. A., Pereira, F. C.
Factors Driving The Adoption Of Mobility-Management Travel App: A Bayesian Structural Equation Modelling Analysis [PDF]
in Proceedings of the 98th Annual Meeting of the Transportation Research Board, 2019
Article Xie, Y., Danaf, M., Lima Azevedo, C., Akkinepally, A., Atasoy, B., Jeong, K., Seshadri, R., Ben-Akiva, M.
Behavioral Modeling Of On-Demand Mobility Services: General Framework And Application To Sustainable Travel Incentives [PDF]
in Transportation, 2019
Conference Seshadri, R., Kumarga, L., Atasoy, B., Danaf, M., Xie, Y., Lima Azevedo, C., Zhao, F., Zegras, P. C., Ben-Akiva, M.
Understanding Preferences for Automated Mobility on Demand Using a Smartphone-Based Stated Preference Survey: A Case Study of Singapore [PDF]
in Proceedings of the 98th Annual Meeting of the Transportation Research Board, 2019
Conference Chen, S., Akkinepally, A., Lima Azevedo, C., Ben-Akiva, M.
Calibrating Activity-Based Travel Demand Model Systems Via Microsimulation [PDF]
in Proceedings of the 98th Annual Meeting of the Transportation Research Board, 2019
Conference Kamargianni, M., Lampros, Y., Muscat, J., Lima Azevedo, C., Ben-Akiva, M.
Incorporating the Mobility as a Service Concept into Transport Modelling and Simulation Frameworks [PDF]
in Proceedings of the 98th Annual Meeting of the Transportation Research Board, 2019
Conference Gross, E., Oke, J., Akkinepally, A., Nahmias-Biran, B., Lima Azevedo, C., Zegras, P. C., Ferreira, J., Ben-Akiva, M.
Accessibility and Energy Consumption Evaluation under Different Strategies of Mobility On-Demand Deployment [PDF]
in Proceedings of the 98th Annual Meeting of the Transportation Research Board, 2019
Article Araldo, A., Gao, S., Seshadri, R., Lima Azevedo, C., Ghafourian, H., Sui, Y., Ayaz, S., Sukhin, D., Ben-Akiva, M.
System-Level Optimization of Multi-Modal Transportation Networks for Energy Efficiency Using Personalized Incentives: Formulation, Implementation and Performance [PDF]
in Transportation Research Record: Journal of the Transportation Research Board, 2019
Conference Oh, S., Seshadri, R., Lima Azevedo, C., Ben-Akiva, M.
Demand Calibration of Multimodal Microscopic Traffic Simulation Using W-DSPSA [PDF]
in Proceedings of the 98th Annual Meeting of the Transportation Research Board, 2019
Article Nahmias-Biran, B., Oke, J., Kumar, N., Basak, K., Araldo, A., Seshadri, R., Lima Azevedo, C., Ben-Akiva, M.
From Traditional to Automated Mobility on Demand: A Comprehensive Framework for Modelling Mobility on Demand Services in SimMobility [PDF]
in Transportation Research Record: Journal of the Transportation Research Board, 2019
Conference Markou, I., Pereira, F. C., Rodrigues, F.
A two-stage model for real-time taxi demand prediction using data from the Web [PDF]
in Proceedings of the 98th Annual Meeting of the Transportation Research Board, 2019
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2018

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Conference Peled, I., Pereira, F. C., Winther, O.
Traffic Prediction with Convolutional Long Short-Term Memory [PDF]
in 7th Symposium of the European Association for Research in Transportation (hEART), 2018
Conference Baburajan, V., de Abreu e Silva, J., Pereira, F. C.
Opening Up the Conversation: Topic Modeling for Automated Text Analysis in Travel Survey [PDF]
in 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 3657--3661, 2018
Conference Antunes, F., Ribeiro, B., Pereira, F. C.
Active Learning for Input Space Exploration in Traffic Simulators [PDF]
in 2018 International Joint Conference on Neural Networks (IJCNN), 2018
PhDThesis Dastjerdi, A. M.
ATIS and Commuters Behavior: Factors Affecting Behavioral Intentions Toward the Use of Travel Information Technology [PDF]
in DTU Orbit, 2018
Book Pereira, F. C., Borysov, S.
Machine Learning Fundamentals [PDF]
in Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, 2018
Book Henrickson, K., Rodrigues, F., Pereira, F. C.
Data Preparation [PDF]
in Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, 2018
Book Peled, I., Rodrigues, F., Pereira, F. C.
Model-Based Machine Learning for Transportation [PDF]
in Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, 2018
Book Kinra, A., Kashi, S. B., Pereira, F. C., Combes, F., Rothengatter, W.
Textual Data in Transportation Research: Techniques and Opportunities [PDF]
in Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling, 2018
Conference Akkinepally, A., Chen, S., Fournier, N., Needell, Z., Viegas de Lima, I. H., Araldo, A., Deliali, A., Trancik, J., Christofa, E., Lima Azevedo, C., Ben-Akiva, M.
Integrated simulation of activity-based demand and multi-modal dynamic supply for energy assessment [PDF]
in The 21st IEEE International Conference on Intelligent Transportation Systems (IEEE-ITSC), 2018
Conference Xie, Y., Danaf, M., Lima Azevedo, C., Akkinepally, A. P., Atasoy, B., Jeong, K., Seshadri, R., Ben-Akiva, M.
Modeling travel behavior with on-demand systems: the case of real-time sustainable travel incentives [PDF]
in 7th Symposium of the European Association for Research in Transportation (hEART), 2018
Conference Danaf, M., Atasoy, B., Lima Azevedo, C., Ding-Mastera, J., Abou-Zeid, M., Cox, N., Zhao, F., Ben-Akiva, M.
Context-aware stated preferences surveys for smart mobility [PDF]
in 15th International Conference on Travel Behaviour Research, 2018
Conference Oke, J., Gross, E., Nahmias-Biran, B., Lima Azevedo, C., Zegras, P. C., Ferreira, J., Ben-Akiva, M.
Discovering robust urban mobility futures via agent based simulation in prototype cities [PDF]
in 7th Conference on Innovations in Travel Modeling, Transportation Research Board, 2018
Conference Markou, I., Rodrigues, F., Pereira, F. C.
Real-Time Taxi Demand Prediction Using Data from the Web
in Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems, 2018
Conference Servizi, V., Kosta, S., Hammershøj, A. D., Olesen, H.
A User Experience Model for Privacy and Context Aware Over-the-Top (OTT) TV Recommendations
in Proceedings of Conference on Information and Knowledge Management, 2018
Article Rodrigues, F., Markou, I., Pereira, F. C.
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach [PDF] [Code] [Data]
in Information Fusion, 2018
Article Rodrigues, F., Pereira, F. C.
Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data [PDF]
in Transportation Research Part C, 2018
Article Rodrigues, F., Henrickson, K., Pereira, F. C.
Multi-output Gaussian processes for crowdsourced traffic data imputation [PDF] [Code]
in IEEE Transactions on Intelligent Transportation Systems, 2018
Conference Rodrigues, F., Pereira, F. C.
Deep Learning from Crowds [PDF] [Code] [Data]
in The Thirty-Second AAAI Conference on Artificial Intelligence (oral), 2018
Article Borysov, S., Rich, J., Pereira, F. C.
Scalable Population Synthesis with Deep Generative Modeling [PDF]
in arXiv, 2018
Article Antunes, F., Ribeiro, B., Pereira, F. C., Gomes, R.
Efficient Transport Simulation With Restricted Batch-Mode Active Learning [PDF]
in IEEE Transactions on Intelligent Transportation Systems, 2018
Article Lee, D., Derrible, S., Pereira, F. C.
Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling [PDF]
in Transportation Research Record, 2018
Article Li, R., Pereira, F. C., Ben-Akiva, M. E.
Overview of traffic incident duration analysis and prediction [PDF]
in European Transport Research Review, 2018
Article Pereira, F. C., Antoniou, C., Dimitriou, L.
Social network analysis in future transportation systems: Contributions on observability, behaviour and structure [PDF]
in Transportation Research. Part C: Emerging Technologies, Vol. 91, 2018
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2017

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Article Rodrigues, F., Lourenço, M., Ribeiro, B., Pereira, F. C.
Learning Supervised Topic Models for Classification and Regression from Crowds [PDF] [Code] [Data]
in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
Article Markou, I., Rodrigues, F., Pereira, F. C.
Use of Taxi-Trip Data in Analysis of Demand Patterns for Detection and Explanation of Anomalies
in Transportation Research Record (TRR): Journal of the Transportation Research Board, 2017
Conference Markou, I., Rodrigues, F., Pereira, F. C.
Event characteristics that disrupt transport system's balance
in International Conference on Intelligent Transport Systems in Theory and Practice, mobil. TUM 2017, Munich, Germany, 2017
Conference Markou, I., Rodrigues, F., Pereira, F. C.
Demand pattern analysis of taxi trip data for anomalies detection and explanation [PDF]
in Proceedings of the 96th Annual Meeting of the Transportation Research Board, 2017
Article Li, C., Zegras, P. C., Zhao, F., Qin, Z., Shahid, A., Ben-Akiva, M., Pereira, F. C., Zhao, J.
Enabling Bus Transit Service Quality Co-Monitoring Through Smartphone-Based Platform [PDF]
in Transportation Research Record, Vol. 2649, 2017
Conference Chaniotakis, E., Antoniou, C., Pereira, F. C.
Enhancing Resilience to Disasters using Social Media [PDF]
in Proceedings of the 2017 5th Ieee International Conference on Models and Technologies for Intelligent Transportation Systems (mt-its), 2017
Article Antunes, F., Ribeiro, B., Pereira, F. C.
Probabilistic Modeling and Visualization for Bankruptcy Prediction [PDF]
in Applied Soft Computing, Vol. 60, 2017
Conference Petersen, N. C., Villadsen, J.
Logical Entity Level Sentiment Analysis [PDF]
in International Conference on Formal Grammar, 2017
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2016

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Article Rodrigues, F., Borysov, S., Ribeiro, B., Pereira, F. C.
A Bayesian additive model for understanding public transport usage in special events [PDF] [Code]
in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
Conference Borysov, S., Lourenço, M., Rodrigues, F., Balatsky, A., Pereira, F. C.
Using internet search queries to predict human mobility in social events [PDF]
in Proceedings of 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), 2016
Article Chaniotakis, E., Antoniou, C., Pereira, F. C.
Mapping Social Media for Transportation Studies [PDF]
in IEEE Intelligent Systems, Vol. 31, No. 6, 2016
Article O'Sullivan, A., Pereira, F. C., Zhao, J., Koutsopoulos, H. N.
Uncertainty in Bus Arrival Time Predictions: Treating Heteroscedasticity With a Metamodel Approach [PDF]
in IEEE Transactions on Intelligent Transportation Systems, Vol. 17, No. 11, 2016
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2015

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Conference Lu, Y., Seshadri, R., Pereira, F. C., O'Sullivan, A., Antoniou, C., Ben-Akiva, M.
DynaMIT2.0: architecture design and preliminary results on real-time data fusion for traffic prediction and crisis management [PDF]
in Proceedings of the 2015 IEEE 18th International Conference on Intelligent Transportation Systems (ITSC), 2015
Conference Pereira, F. C.
Intelligent Transport Systems in the Smart City [PDF]
in Book of Abstracts. DTU's Sustain Conference 2015, 2015
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