1 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Robustness of Reinforcement Learning-Based Traffic Signal Control under Incidents: A Comparative Study
Dang Viet Anh Nguyen, Carlos Lima Azevedo, Tomer Toledo +1
Reinforcement learning-based traffic signal control (RL-TSC) has emerged as a promising approach for improving urban mobility. However, its robustness under real-world disruptions…
Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume
Silke K. Kaiser, Filipe Rodrigues, Carlos Lima Azevedo +1
Graph Neural Networks have shown strong performance in traffic volume forecasting, particularly on highways and major arterial networks. Applying them to urban settings, however, p…
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…
Choice Sets and Smart Card Data In Public Transport Route Choice Models: Generated vs. Empirical Sets
Georges Sfeir, Filipe Rodrigues, Ravi Seshadri +1
This study evaluates path sets generation for route choice models in multimodal public transportation networks, using both conventional (network algorithms) and empirical (smart ca…