Dr. Chen's research group has three main research thrusts:
1. Safety, durability and serviceability of critical infrastructures subjected to multiple hazards
Vital long-span bridges
- Agent-based traffic flow simulation on bridge system under normal and hazardous conditions;
- Advanced dynamic simulation approach of bridge-traffic-environment system;
- Safety, serviceability and fatigue performance prediction;
- Wind, earthquake, cable-loss, and fire hazards;
- Wind-induced traffic safety and comforting analyses on long-span bridges;
- Reliability-based design load characterization;
- Establishment of resilience analysis framework for long-span bridge system;
- Smart sensing and control system;
- Energy absorption and monitoring technology development.
Vulnerable short- and medium-span bridges
- Curved and skewed bridge seismic performance;
- Interactions with traffic under emergency;
- Multi-hazard research with other threats.
2. Development of next-generation multi-scale sustainable, resilient and smart transportation system under hazardous and adverse conditions
Simulation-based traffic safety and congestion prediction under adverse driving conditions
- Vehicle dynamics modeling and crash simulation;
- Integrated traffic flow, safety and network simulation;
- Characterization and incorporation of driving behavior and disrupted infrastructure in adverse driving conditions.
Data-based traffic safety and congestion prediction under adverse driving conditions
- Advanced statistical approach to understand traffic safety performance with refined-scale models;
- Injury severity study and intervention techniques to promote safer driving experience.
Traffic network simulation and resilience study
- Traffic network simulation and assignment study of disrupted traffic system under hazardous conditions;
- Risk-based optimization framework for traffic network incorporating advances on simulation-based and data-based safety research.
Driving behavior characterization and ITS technology application on highway networks
- Driving behavior characterization based on experiments and data mining;
- ITS solutions to improve adaptive speed limit, evacuation, law enforcement and traffic management;
- Connected vehicle and autonomous algorithms in adverse conditions.
3. Urban community resilience study of interdependent infrastructures subjected to hazards
Community-level model considering infrastructure interdependency
- Interdependency modeling of transportation system with energy, public health and other infrastructure systems;
- Modeling of interactions with economy and society.