Area of research
Transportation · Control and Systems Engineering
Research interest
Research focused on Beijing and Swap (finance), with related work in Electric vehicle, Battery (electricity), Electricity. Notable publications include 'An Improved Deep Learning Model for Traffic Crash Prediction', 'Investigating the factors influencing the uptake of electric vehicles in Beijing, China: Statistical and spatial perspectives', and 'Deploying battery swap stations for shared electric vehicles using trajectory data'.
Built environment and travel satisfaction revisited: Differences between consonant and dissonant travelers
A lane-based intersection design model for lane assignment and signal timing under mixed traffic of human-driven and self-driving vehicles with dedicated lanes
Feeding Urban Rail Transit: Hybrid Microtransit Network Design Based on Parsimonious Continuum Approach
Dominant charging location choice of commuters and non-commuters: a big data approach
Deploying Battery Swap Stations for Electric Freight Vehicles Based on Trajectory Data Analysis
Deploying battery swap stations for shared electric vehicles using trajectory data
Uncovering travel and charging patterns of private electric vehicles with trajectory data: evidence and policy implications
Exploring the role of technology innovations in the diffusion of electric vehicle with an agent-based spatial integrated model
Simulation of the influence of spatial obstacles on evacuation pedestrian flow in walking facilities
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 Comparative Study of En Route Refuelling Behaviours of Conventional and Electric Vehicles in Beijing, China
Empirical Analysis of Parking Behaviour of Conventional and Electric Vehicles for Parking Modelling: A Case Study of Beijing, China
An Improved Deep Learning Model for Traffic Crash Prediction
Investigating the factors influencing the uptake of electric vehicles in Beijing, China: Statistical and spatial perspectives
An innovative approach for traffic crash estimation and prediction on accommodating unobserved heterogeneities
An agent- and GIS-based virtual city creator: A case study of Beijing, China
Look-Ahead Insertion Policy for a Shared-Taxi System Based on Reinforcement Learning
Predicting Driver Behavior during the Yellow Interval Using Video Surveillance
Combining the Statistical Model and Heuristic Model to Predict Flow Rate
Simulation of pedestrian evacuation based on an improved dynamic parameter model