Area of research
Transportation · Building and Construction
Research interest
Research focused on Autoregressive integrated moving average and Traffic flow (computer networking), with related work in Pedestrian, Truck, Selection (genetic algorithm). Notable publications include 'Short-term electric vehicle charging demand prediction: A deep learning approach', 'Truck Traffic Flow Prediction Based on LSTM and GRU Methods With Sampled GPS Data', and 'Flow rate and time mean speed predictions for the urban freeway network using state space models'.
An adaptive spatio-temporal graph recurrent network for short-term electric vehicle charging demand prediction
Joint design of public transit and autonomous vehicle mobility systems for tourist cities considering private tour trips
Fusing emergency data and seasonal effects for urban rail transit safety assessment: A severity probability distribution model
SatDetX-YOLO: A More Accurate Method for Vehicle Target Detection in Satellite Remote Sensing Imagery
Short-term traffic flow prediction based on hybrid decomposition optimization and deep extreme learning machine
Traffic state estimation incorporating heterogeneous vehicle composition: A high-dimensional fuzzy model
Joint Design of Public Transit and Autonomous Vehicle Mobility Systems for Tourist Cities Considering "Abnormal" Trips
Short-term electric vehicle charging demand prediction: A deep learning approach
Traffic flow prediction using bi-directional gated recurrent unit method
Relationships of life satisfaction with commuting and built environment: A longitudinal analysis
A new approach in developing an urban rail transit emergency knowledge graph based on operation fault logs
Truck Traffic Flow Prediction Based on LSTM and GRU Methods With Sampled GPS Data
Bus Dynamic Travel Time Prediction: Using a Deep Feature Extraction Framework Based on RNN and DNN
Urban Rail Transit Passenger Flow Forecasting Method Based on the Coupling of Artificial Fish Swarm and Improved Particle Swarm Optimization Algorithms
Freeway path travel time prediction based on heterogeneous traffic data through nonparametric model
Simulation of pedestrian evacuation with blind herd mentality under adverse sight conditions
A two-stage short-term traffic flow prediction method based on AVL and AKNN techniques
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
Exit selection strategy in pedestrian evacuation simulation with multi-exits