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05/16/2023
Graph Reinforcement Learning for Network Control via Bi-Level Optimization
Optimization problems over dynamic networks have been extensively studie...
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02/24/2022
Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning
Intelligent Transportation Systems (ITS) underpin the concept of Mobilit...
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02/24/2022
"Is not the truth the truth?": Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-based Surveys
Passenger flow allows the study of users' behavior through the public ne...
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01/25/2022
Unboxing the graph: Neural Relational Inference for Mobility Prediction
Predicting the supply and demand of transport systems is vital for effic...
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09/24/2021
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance
This study proposes a novel approach that combines theory and data-drive...
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06/21/2021
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
Electric vehicles can offer a low carbon emission solution to reverse ri...
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05/31/2021
Improving the Accuracy and Efficiency of Online Calibration for Simulation-based Dynamic Traffic Assignment
Simulation-based Dynamic Traffic Assignment models have important applic...
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04/23/2021
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems
Autonomous mobility-on-demand (AMoD) systems represent a rapidly develop...
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04/02/2021
Modeling Censored Mobility Demand through Quantile Regression Neural Networks
Shared mobility services require accurate demand models for effective se...
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11/13/2020
Population synthesis for urban resident modeling using deep generative models
The impacts of new real estate developments are strongly associated to i...
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08/31/2020
Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport
As Public Transport (PT) becomes more dynamic and demand-responsive, it ...
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08/17/2020
Estimating Causal Effects with the Neural Autoregressive Density Estimator
Estimation of causal effects is fundamental in situations were the under...
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03/09/2020
QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters
Current data-driven traffic prediction models are usually trained with l...
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01/30/2020
Uncovering life-course patterns with causal discovery and survival analysis
We provide a novel approach and an exploratory study for modelling life ...
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01/21/2020
Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes
Transport demand is highly dependent on supply, especially for shared tr...
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12/24/2019
Mining User Behaviour from Smartphone data, a literature review
To study users' travel behaviour and travel time between origin and dest...
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09/17/2019
Prediction of rare feature combinations in population synthesis: Application of deep generative modelling
In population synthesis applications, when considering populations with ...
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08/31/2019
Rethinking travel behavior modeling representations through embeddings
This paper introduces the concept of travel behavior embeddings, a metho...
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02/26/2019
Online Framework for Demand-Responsive Stochastic Route Optimization
This study develops an online predictive optimization framework for oper...
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12/20/2018
A Bayesian Additive Model for Understanding Public Transport Usage in Special Events
Public special events, like sports games, concerts and festivals are wel...
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12/20/2018
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation
Traffic speed data imputation is a fundamental challenge for data-driven...
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12/20/2018
Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data
Accurately modeling traffic speeds is a fundamental part of efficient in...
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08/27/2018
Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems
Spatio-temporal problems are ubiquitous and of vital importance in many ...
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08/21/2018