10 citations · 14 across the 5 of their papers we have counts for
5 papers
Attitudes and Latent Class Choice Models using Machine learning
Lorena Torres Lahoz, Francisco Camara Pereira, Georges Sfeir +3
Latent Class Choice Models (LCCM) are extensions of discrete choice models (DCMs) that capture unobserved heterogeneity in the choice process by segmenting the population based on…
Bayesian Active Learning with Fully Bayesian Gaussian Processes
Christoffer Riis, Francisco Antunes, Frederik Boe Hüttel +2
The bias-variance trade-off is a well-known problem in machine learning that only gets more pronounced the less available data there is. In active learning, where labeled data is s…
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance
Ioanna Arkoudi, Carlos Lima Azevedo, Francisco C. Pereira
This study proposes a novel approach that combines theory and data-driven choice models using Artificial Neural Networks (ANNs). In particular, we use continuous vector representat…
Market Design for Tradable Mobility Credits
Siyu Chen, Ravi Seshadri, Carlos Lima Azevedo +5
Tradable mobility credit (TMC) schemes are an approach to travel demand management that have received significant attention in recent years. This paper proposes and analyzes altern…
Bayesian Optimization of Area-based Road Pricing
Renming Liu, Yu Jiang, Carlos Lima Azevedo
This study presents a Bayesian Optimization framework for area- and distance-based time-of-day pricing (TODP) for urban networks. The road pricing optimization problem can reach hi…