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Using Data From the Web to Predict Public Transport Arrivals Under Special Events Scenarios.

, , and . J. Intell. Transp. Syst., 19 (3): 273-288 (2015)

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Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation., , and . CoRR, (2018)A Bayesian Additive Model for Understanding Public Transport Usage in Special Events., , , and . CoRR, (2018)Is Travel Demand Actually Deep? An Application in Event Areas Using Semantic Information., , and . IEEE Trans. Intell. Transp. Syst., 21 (2): 641-652 (2020)Robust Optimization for a Maritime Inventory Routing Problem., , , and . Transp. Sci., 52 (3): 509-525 (2018)A hybrid heuristic for a stochastic production-inventory-routing problem., , and . Electron. Notes Discret. Math., (2018)Recurrent flow networks: A recurrent latent variable model for density estimation of urban mobility., and . Pattern Recognit., (2022)Real-Time Taxi Demand Prediction using data from the web., , and . ITSC, page 1664-1671. IEEE, (2018)Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management., , , , , and . CoRR, (2021)Modeling Censored Mobility Demand through Quantile Regression Neural Networks., , and . CoRR, (2021)Graph Reinforcement Learning for Network Control via Bi-Level Optimization., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 10587-10610. PMLR, (2023)