A5090768303- Evacuation and Crowd Dynamics
- Traffic and Road Safety
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Transportation Planning and Optimization
- Building Energy and Comfort Optimization
- Fire dynamics and safety research
- Electrostatics and Colloid Interactions
- Traffic control and management
- Microfluidic and Bio-sensing Technologies
- Wind and Air Flow Studies
- Fire Detection and Safety Systems
- Traffic Prediction and Management Techniques
- Nanopore and Nanochannel Transport Studies
- BIM and Construction Integration
- Human Mobility and Location-Based Analysis
- Fractional Differential Equations Solutions
- Urban Heat Island Mitigation
- Electrowetting and Microfluidic Technologies
- Solar Radiation and Photovoltaics
- Neural Networks and Applications
- Energy Load and Power Forecasting
- Geophysical and Geoelectrical Methods
- Microfluidic and Capillary Electrophoresis Applications
- Data Visualization and Analytics
City University of Hong Kong
2016-2025
Biogen (United States)
2024
National Taiwan University
1999-2024
Quantum (Australia)
2023
The University of Queensland
2023
University of Liverpool
2023
The University of Melbourne
2023
University of California, Berkeley
2022
École Normale Supérieure Paris-Saclay
2018
Laboratoire de Biologie et Pharmacologie Appliquée
2018
This paper proposes a novel approach for simulating pedestrian movement behavior based on artificial intelligence technology. Within this approach, large volume of microscopic types were collected and encapsulated into an neural network via training. The trained was then fed back simulation environment to predict the movement. Two experiments conducted evaluate performance approach. First, pedestrian-collision-avoidance test conducted, results showed that virtual pedestrians with learned can...