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.