6 citations · 6 across the 1 of their papers we have counts for
3 papers · 1 filter
A Machine Learning Method for Predicting Traffic Signal Timing from Probe Vehicle Data
Juliette Ugirumurera, Joseph Severino, Erik A. Bensen +2
Traffic signals play an important role in transportation by enabling traffic flow management, and ensuring safety at intersections. In addition, knowing the traffic signal phase an…
Attention-based Spatial-Temporal Graph Neural ODE for Traffic Prediction
Weiheng Zhong, Hadi Meidani, Jane Macfarlane
Traffic forecasting is an important issue in intelligent traffic systems (ITS). Graph neural networks (GNNs) are effective deep learning models to capture the complex spatio-tempor…
HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control
Dimitris M. Vlachogiannis, Hua Wei, Scott Moura +1
Single occupancy vehicles are the most attractive transportation alternative for many commuters, leading to increased traffic congestion and air pollution. Advancements in informat…