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Found 6 papers, 2 papers with code
Learning "Look-Ahead" Nonlocal Traffic Dynamics in a Ring Road
The macroscopic traffic flow model is widely used for traffic control and management.
Robust Safety for Mixed-Autonomy Traffic with Delays and Disturbances
Considering both actuator and sensor delays, and disturbances, we propose robust safety-critical traffic control (RSTC) design to ensure ``robust safety'' of the mixed traffic.
Safety-Critical Traffic Control by Connected Automated Vehicles
Connected automated vehicles (CAVs) have shown great potential in improving traffic throughput and stability.
A Spatial-Temporal Attention Multi-Graph Convolution Network for Ride-Hailing Demand Prediction Based on Periodicity with Offset
To improve the efficiency of ride-hailing service, accurate prediction of transportation demand is a fundamental challenge.
PDLight: A Deep Reinforcement Learning Traffic Light Control Algorithm with Pressure and Dynamic Light Duration
Existing ineffective and inflexible traffic light control at urban intersections can often lead to congestion in traffic flows and cause numerous problems, such as long delay and waste of energy.
A Traffic Light Dynamic Control Algorithm with Deep Reinforcement Learning Based on GNN Prediction
Then, the results of traffic flow prediction are used in traffic light control, and the agent combines the predicted results with the observed current traffic conditions to dynamically control the phase and duration of the traffic lights at the intersection.
