1 citations · 1 across the 4 of their papers we have counts for
4 papers
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes
Xiaoyi Wu, Ravi Seshadri, Filipe Rodrigues +1
Tradable credit schemes (TCS) are an increasingly studied alternative to congestion pricing, given their revenue neutrality and ability to address issues of equity through the init…
Applied metamodelling for ATM performance simulations
Christoffer Riis, Francisco N. Antunes, Tatjana Bolić +4
The use of Air traffic management (ATM) simulators for planing and operations can be challenging due to their modelling complexity. This paper presents XALM (eXplainable Active Lea…
Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons
Miguel Costa, Manuel Marques, Felix Wilhelm Siebert +2
Today, many cities seek to transition to more sustainable transportation systems. Cycling is critical in this transition for shorter trips, including first-and-last-mile links to t…
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…