1 citations · 1 across the 3 of their papers we have counts for
3 papers
Hierarchical Forecast Reconciliation for Urban Rail Transit Demand Prediction under Operational Disruptions
Dang Viet Anh Nguyen, Alma Fazlagic, Kristine Pryds Loft +1
Accurate and coherent passenger demand forecasting is essential for Urban Rail Transit (URT) operations. Passenger demand has a hierarchical structure in which origin-destination (…
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…
Multi-Graph Inductive Representation Learning for Large-Scale Urban Rail Demand Prediction under Disruptions
Dang Viet Anh Nguyen, J. Victor Flensburg, Fabrizio Cerreto +4
With the expansion of cities over time, URT (Urban Rail Transit) networks have also grown significantly. Demand prediction plays an important role in supporting planning, schedulin…