Area of research
Cognitive Neuroscience · Transportation
Research interest
Research interests include Computer science, Electroencephalography, Public transport, Intersection (aeronautics), Traffic congestion, and Identification (biology).
Exploring cascading failure processes of interdependent multi-modal public transit networks
Augmented Recognition of Distracted Driving State Based on Electrophysiological Analysis of Brain Network
The aggressive driving performance caused by congestion based on behavior and EEG analysis
Assessing the effects of artifacts and noise in EEG signals on car-following driving behavior prediction
Integrated optimization of electric bus scheduling and charging planning incorporating flexible charging and timetable shifting strategies
Optimization of a rural bus service integrated with e-commerce deliveries guided by a new sustainable policy in China
Heterogeneous overtaking and learning styles with varied EEG patterns in a reinforced driving task
Reforming mixed operation schedule for electric buses and traditional fuel buses by an optimal framework
Wielding and evaluating the removal composition of common artefacts in EEG signals for driving behaviour analysis
Comprehending and Analyzing Multiday Trip-Chaining Patterns of Freight Vehicles Using a Multiscale Method with Prolonged Trajectory Data
Network-wide identification of turn-level intersection congestion using only low-frequency probe vehicle data