Publications

Gabrielle Gambuli, David Bounie, Chloé Breton, and Étienne Côme. The Impact of Telework on Local Consumption* Evidence from Mobile Phone and Transaction Data. Preprint submitted to JEL (https://gambuligabrielle.github.io/pdf/job_market_paper.pdf), March, 2026.

Pierre-Adrien Langrognet, Étienne Côme, Sebastian Hörl, Latifa Oukhellou. Improving the spatial distribution of secondary activities in synthetic populations through guidance forces. Computers, Environment and Urban Systems, 2026, 127, pp.102431. ⟨10.1016/j.compenvurbsys.2026.102431⟩. ⟨hal-05562444⟩.

Thien Pham, Angelo Furno, Faïcel Chamroukhi, Latifa Oukhellou. Federated dynamic modeling and learning for spatiotemporal data forecasting. Neurocomputing, 2026, pp.132712. ⟨10.1016/j.neucom.2026.132712⟩. ⟨hal-05472368⟩.

Guillaume Arion, Johanne Aude, Gabrielle Gambuli, Mélina Hillion. Les résidents se déplacent majoritairement en voiture pour se rendre sur leur lieu de travail, à l’exception des cadres résidant au centre du pôle. Insee Analyses Auvergne-Rhône-Alpes, 2025, 199. ⟨hal-05579510⟩.

Eric Brousseau, Etienne Côme, Nicolas Coulombel, Isac Olave-Cruz. Harmonizing dockless E-scooters: insights from Paris. Transportation Research Part A: Policy and Practice, 2025, 202, pp.104702. ⟨10.1016/j.tra.2025.104702⟩. ⟨halshs-05316988⟩.

Assunta de Caro, Ida Falco, Angelo Furno, Eugenio Zimeo. Optimizing Urban Public Transportation with a Crowding-Aware Multimodal Trip Recommendation System. Smart Cities, 2025, 8(6) (90), 39p. ⟨10.3390/smartcities8060190⟩. ⟨hal-05357223⟩.

Marie-Pierre Joubert. Les données de téléphonie mobile. Une source de connaissance sur la population et ses déplacements. Courrier des Statistiques, 2025, 13, pp.95-118. ⟨hal-05242884⟩.

Paul de Nailly, Étienne Côme, Rico Krueger, Latifa Oukhellou. Discrete Choice Modeling for Modal Disaggregation of Mobile OD Flows: Comparison with Smart Card Data. 13th Symposium of the European Association for Research in Transportation (hEART), Jun 2025, Munich, Germany. ⟨hal-05170056⟩.

Ali Shateri Benam, Angelo Furno, Nour-Eddin El Faouzi. Unraveling urban multi-modal travel patterns and anomalies: a data-driven approach. Urban, Planning and Transport Research, 2025, 13 (1), ⟨10.1080/21650020.2025.2481962⟩. ⟨hal-05398516⟩.

Paul de Nailly, Etienne Côme, Angelo Furno, Latifa Oukhellou, A data fusion framework for the estimation of dynamic. Multimodal OD flows within urban areas. Extended abstract submitted for presentation at the 12th Triennial Symposium on Transportation Analysis conference (TRISTAN XII), June 22-27, 2025, Okinawa, Japan

Hugues Moreau, Étienne Côme, Allou Same, Latifa Oukhellou. How Has the Paris Rail Public-Transportation Network Recovered After the COVID-19 Pandemic? Applying a Mixture of Regressions Model. Transportation Research Record, 2025, 2679 (3), pp.330-345. ⟨10.1177/03611981241277817⟩. ⟨hal-04777136⟩.

Simon Senegas, Angelo Furno, Paola Palmas, Jérémie Simon. Framework for the Analysis and Enhancement of the Accessibility of Large-Scale Urban Transit Networks: A Data-Driven Study for the City of Lyon, France. Transportation Research Record, 2023, 2678 (2), pp.35-47. ⟨10.1177/03611981231172939⟩. ⟨hal-04717026⟩.

Benoît Matet, Etienne Côme, Angelo Furno, Sebastian Hörl, Latifa Oukhellou, and Nour-Eddin El Faouzi. Improving the generation of synthetic travel demand using origin–destination matrices from mobile phone data. Transportation, September 2024. doi: 10.1007/s11116-024-10524-2. https://hal.science/hal-04692975.

Mina Khalesian, Angelo Furno, Ludovic Leclercq. Improving deep-learning methods for area-based traffic demand prediction via hierarchical reconciliation. Transportation research. Part C, Emerging technologies, 2024, 159, pp.104410. ⟨10.1016/j.trc.2023.104410⟩. ⟨hal-04701635⟩.

Tarek Chouaki, Sebastian Hörl. The FeederDrt extension: simulation of intermodal on-demand services acting as feeders for public transit. Workshop MATSim User Meeting, 12th symposium of the European Association for Research in Transportation (hEART), Jun 2024, Aalto, Finland. ⟨hal-04555679⟩.

Eliane Casassa, Étienne Côme, Latifa Oukhellou. Detected or undetected, which trips are seen in mobile phone OD data? A case study of the Lyon region (France). 2024. ⟨hal-04608153⟩.

Sebastian Hörl, Tarek Chouaki, Oliver Ludwig, Hannes Rewald, Steffen Axer. Evaluating prebooked on-demand mobility services using MATSim. 13th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTrans), Apr 2024, Hasselt, Belgium. pp.763-770, ⟨10.1016/j.procs.2024.06.089⟩. ⟨hal-04549244⟩.

Paul de Nailly, Etienne Côme, Latifa Oukhellou, Allou Samé, Jacques Ferriere, et al.. Multivariate count time series segmentation with “sums and shares” and Poisson lognormal mixture models: a comparative study using pedestrian flows within a multimodal transport hub. Advances in Data Analysis and Classification, 2024, 18, pp.455-491. ⟨10.1007/s11634-023-00543-9⟩. ⟨hal-04401340⟩.

Angelo Furno. Data-driven Approaches for Enhancing Resilience in Large-scale Transport Networks. Computer Science [cs]. ENTPE, University Claude Bernard Lyon 1 - HDR Thesis, 2023. ⟨tel-04462782⟩.

Jing Yang, Qinghua Ni, Guiyang Luo, Qi Cheng, Latifa Oukhellou, et al.. A Trustworthy Internet of Vehicles: The DAO to Safe, Secure, and Collaborative Autonomous Driving. IEEE Transactions on Intelligent Vehicles, 2023, 8 (12), pp.4678-4681. ⟨10.1109/TIV.2023.3337345⟩. ⟨hal-04401352⟩.

Hugues Moreau, Étienne Côme, Allou Samé, Latifa Oukhellou. A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport Ridership. 2023 IEEE International Conference on Data Mining Workshops (ICDMW), Dec 2023, Shanghai, China. pp.1259-1268, ⟨10.1109/ICDMW60847.2023.00163⟩. ⟨hal-04461404⟩.

Angelo Furno. Data-driven Approaches for Enhancing Resilience in Large-scale Transport Networks: A journey through data analysis, traffic modelling, complex networks and flexible software architectures for resilient and sustainable cities. Computer Science [cs]. ENTPE, University Claude Bernard Lyon 1 - HDR Thesis, 2023. ⟨tel-04462782⟩.

Milena Suarez Castillo, Francois Sémécurbe, Cezary Ziemlicki, Haixuan Xavier Tao, and Tom
Seimandi. Temporally Consistent Present Population from Mobile Network Signaling Data for Official Statistics. Journal of Official Statistics, 39(4):535–570, 2023. doi: 10.2478/jos-2023-0025. https://hal.science/hal-05024940.

Romain Rochas, Angelo Furno, and Nour-Eddin El Faouzi. Contextual Data Integration for Bikesharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), pages 5436 – 5441, Bilbao, Spain, September 2023. IEEE. doi: 10.1109/itsc57777.2023.10422448. https://hal.science/hal-04796111.

Benoît Matet, Etienne Côme, Angelo Furno, Sebastian Hörl, Latifa Oukhellou. Use of Origin-Destination data for calibration and spatialization of synthetic travel demand. hEART'23. 11th Symposium of the European Association for Research in Transportation, Sep 2023, Zurich (CH), Switzerland. ⟨hal-04201484⟩.

Paul de Nailly, Étienne Côme, Latifa Oukhellou, Allou Badara Samé, Jacques Ferriere. Deep probabilistic forecasting of count data in multimodal transport systems. Second Triennial Transportation and Logistics Society Conference (TSL 2023), Transportation and Logistics Society, Jul 2023, Chicago, United States. ⟨hal-04496090⟩.

Benoît Matet, Étienne Côme, Angelo Furno, Sebastian Hörl, Latifa Oukhellou. Use of Origin-Destination data in synthetic travel demand synthesis. 9th International Symposium on Transportation Data Modelling (ISTDM2023), Jun 2023, Ispra, Joint Research Center, Italy. ⟨hal-04496171⟩.

Sebastian Hörl. Towards replicable mode choice models for transport simulations in France. 9th International Symposium on Transportation Data & Modelling (ISTDM2023), Joint European Research Center, Jun 2023, Ispra, Italy. ⟨hal-04050002⟩.

Benoit Matet, Angelo Furno, Marco Fiore, Etienne Côme, Latifa Oukhellou. Adaptative generalisation over a value hierarchy for the k -anonymisation of Origin–Destination matrices. Transportation research. Part C, Emerging technologies, 2023, 154, pp.104236. ⟨10.1016/j.trc.2023.104236⟩. ⟨hal-04302102⟩.

Ali Shateri Benam, Angelo Furno, and Nour-Eddin El Faouzi. A Signature-based Approach for Datadriven Analysis of the Inter-modal Demand Dynamics. In International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), pages 1 – 6, Nice, France, June 2023. doi: 10.1109/mt-its56129.2023.10241701. https://hal.science/hal-04796339.

Thomas Bapaume, Etienne Côme, Mostafa Ameli, Jérémy Roos, Latifa Oukhellou. Forecasting passenger flows and headway at train level for a public transport line: Focus on atypical situations. Transportation research. Part C, Emerging technologies, 2023, 153, pp.104195. ⟨10.1016/j.trc.2023.104195⟩. ⟨hal-04401284⟩.

Thomas Bapaume, Etienne Côme, Mostafa Ameli, Jérémy Roos, Latifa Oukhellou. Vision Transformer and Inpainting based Approach for Short-term Forecasting of Passenger Loads on a Transit Metro Line. Focus on Explainability and Atypical Situation prediction. 102nd Annual Meeting Transportation Research Board, Jan 2023, Washington D.C., United States. ⟨hal-04302202⟩.

Thomas Bapaume, Etienne Côme, Jérémy Roos, Mostafa Ameli, Latifa Oukhellou. Image inpainting and Deep Learning to forecast short-term train loads. IEEE Access, 2021, 9, pp.98506-98522. ⟨10.1109/ACCESS.2021.3093987⟩. ⟨hal-03907452⟩.

Paul de Nailly, Etienne Come, Latifa Oukhellou, Allou Same, Jacques Ferriere. A "sums and shares" mixture model to study pedestrian flows within a multimodal transport hub. TRISTAN XI, the 11th Triennial Symposium on Transportation Analysis, Jun 2022, Balaclava, France. 4p. ⟨hal-03921892⟩.

Thomas Bapaume, Etienne Come, Jérémy Roos, Mostafa Ameli, Latifa Oukhellou. Passenger flow forecasting framework based on vision transformer and inpainting: Application to a public transport system. TRISTAN XI, the 11th Triennial Symposium on Transportation Analysis, Jun 2022, Balaclava, France. 4p. ⟨hal-03908149⟩.

Ismaïl Saadi, Étienne Côme, Liem Binh Luong Ngyen, Sylvain Lassarre, Mahdi Zargayouna. Estimating high-resolution daily encounter networks with activity-travel diaries. The 11th Triennial Symposium on Transportation Analysis (TRISTAN 2022) Conference, Jun 2022, Mauritius Island, Mauritius. ⟨hal-04506172⟩.

Paul de Nailly, Etienne Come, Allou Same, Latifa Oukhellou, Jacques Ferriere, et al.. What can we learn from 9 years of ticketing data at a major transport hub? A structural time series decomposition. Transportmetrica A: Transport Science, 2022, 18 (3), pp 1445-1469. ⟨10.1080/23249935.2021.1948626⟩. ⟨hal-03600561⟩.

Kevin Pasini, Mostepha Khouadjia, Allou Samé, Martin Trépanier, Latifa Oukhellou. Contextual anomaly detection on time series: a case study of metro ridership analysis. Neural Computing and Applications, 2022, 34, pp.1483-1507. ⟨10.1007/s00521-021-06455-z⟩. ⟨hal-03472163⟩.

Benoît Matet, Etienne Come, Furno Angelo, Loïc Bonnetain, Latifa Oukhellou, et al.. A lightweight approach for origin-destination matrix anonymization. ESANN 2021, The 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2021, Bruges, Belgium. pp 487-492, ⟨10.14428/esann/2021.ES2021-56⟩. ⟨hal-03922211⟩.

Sebastian Hörl, Milos Balac. Open synthetic travel demand for Paris and Île-de-France: Inputs and output data. Data in Brief, 2021, 39, pp.107622. ⟨10.1016/j.dib.2021.107622⟩. ⟨hal-03448125⟩.

Etienne Come, Latifa Oukhellou, Allou Same, Lijun Sun. Machine learning and data mining for urban mobility intelligence. ESANN 2021, the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2021, BRUGES, Belgium. pp 453-462, ⟨10.14428/esann/2021.ES2021-7⟩. ⟨hal-03922607⟩.

Benoît Matet, Étienne Côme, Angelo Furno, Latifa Oukhellou. Mobile phone Origin-Destination Matrix Anonymization and Analysis. CCS 2021 Lyon: Conference on Complex Systems, Oct 2021, Lyon, France. ⟨hal-04796438⟩.