Area of research
Transportation · Building and Construction
Research interest
Research focused on Autoregressive integrated moving average and Electric vehicle, with related work in Traffic flow (computer networking), Beijing, Electricity. Notable publications include 'Truck Traffic Flow Prediction Based on LSTM and GRU Methods With Sampled GPS Data', 'The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing', and 'The potential influence of cost-related factors on the adoption of electric vehicle: An integrated micro-simulation approach'.
Traffic state estimation incorporating heterogeneous vehicle composition: A high-dimensional fuzzy model
Optimal Control Strategies for Metro Trains to Use the Regenerative Braking Energy: A Speed Profile Adjustment Approach
Urban road traffic flow prediction: A graph convolutional network embedded with wavelet decomposition and attention mechanism
Lane-Level Heterogeneous Traffic Flow Prediction: A Spatiotemporal Attention-Based Encoder–Decoder Model
Exploring the role of technology innovations in the diffusion of electric vehicle with an agent-based spatial integrated model
Effect of mass distribution on curving performance for a loaded wagon
Truck Traffic Flow Prediction Based on LSTM and GRU Methods With Sampled GPS Data
The role of the license plate lottery policy in the adoption of Electric Vehicles: A case study of Beijing
The potential influence of cost-related factors on the adoption of electric vehicle: An integrated micro-simulation approach
Exploring the future electric vehicle market and its impacts with an agent-based spatial integrated framework: A case study of Beijing, China
A spatial–temporal-based state space approach for freeway network traffic flow modelling and prediction
Flow rate and time mean speed predictions for the urban freeway network using state space models
Combining the Statistical Model and Heuristic Model to Predict Flow Rate