Area of research
Control and Systems Engineering · Building and Construction
Research interest
Research interests include Computer science, Reinforcement learning, Intersection (aeronautics), Benchmark (surveying), Intelligent transportation system, and Term (time).
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities
TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer
Low-Cost and High-Performance Adaptive Cruise Control Based on Inertial-Triggered Mechanism and Multi-Objective Optimization
An integrated and cooperative architecture for multi-intersection traffic signal control
Distributed agent-based deep reinforcement learning for large scale traffic signal control
A GTFS data acquisition and processing framework and its application to train delay prediction
SATP-GAN: self-attention based generative adversarial network for traffic flow prediction
The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays
A Hybrid LSTM-CPS Approach for Long-Term Prediction of Train Delays in Multivariate Time Series
Communicate with Traffic Lights and Vehicles Based on Multi-Agent Reinforcement Learning
Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys
An Edge Based Multi-Agent Auto Communication Method for Traffic Light Control
Smart fog based workflow for traffic control networks