1 citations · 2 across the 7 of their papers we have counts for
3 papers · 2 filters
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…