Research Areas

The Transportation Program looks mainly at individual interactions between agents and the corresponding emerging behavior at the system level. The agents may be drivers, pedestrians, vehicles (motorized or non-motorized), travelers …etc. The key research challenges that are faced are related to the modeling approaches to be adopted (i.e. duration-based models, prospect theory models, theory of planned behavior, neural networks, genetic algorithms, fuzzy logic, game theory  …etc.) and the integration of different modeling approaches to reproduce realistic behaviors observed in different interdependent networks (i.e. transportation networks, social networks, communication networks …etc.).

Current Research Areas

• Traffic Flow Theory and Driver Behavioral Modeling
• Pedestrian Detection and Modeling
• Sustainable Transportation Systems and Urban Mobility
• Traveler Behavior and Social Interactions

 

Past Research Areas

Driver Assistance

• Drowsy/Fatigued Driver Detection
• Intelligent Cruise Control
• In-Vehicle Systems

Collision Avoidance

• Advanced Vehicle Control Systems
• Vehicle Rollover Mitigation
• Active Suspension Control
• Autonomous Vehicles Steering Controls

Complex Networks

• Vehicular and Vehicle-to-Infrastructure Communications
• Computer Security in ITS
• Traffic Monitoring and Simulation

Smart Materials & Sensors

• Micro-Electromechanical Systems Modeling
• Atomistic to Macro Physics Models
• Mesh-less Computational Methods
• Crashworthiness Design Optimization

Virtual Reality

• Multi-Dimensional Data Visualizations
• Enhanced 3-D Traffic Simulation Modeling
• Emergency Preparedness Models