Driving Simulator Application Scenarios
Our driving-simulator range uses high-precision vehicle-dynamics simulation and can be customized for passenger cars, trucks, buses, new-energy vehicles and special-purpose machinery. Static, 3-DOF and 6-DOF configurations support teaching, research, testing, safety education and entertainment.
Driving Schools
- Basic operation, parking, hill starts, lane changes and standardized examination routes
- Rain, fog, night, snow, mountain, motorway and tunnel conditions
- Safe training for tyre failure, brake failure, collision hazards and pedestrians
- Automated assessment, error recording and optional training-time integration
Universities and Vocational Colleges
- Automotive, transport and new-energy-vehicle teaching
- Driver behaviour, fatigue and human-machine-interface research
- Vehicle dynamics, braking and chassis studies on a 6-DOF platform
- Truck, bus and construction-vehicle operator training
Vehicle and Component Development
- Chassis, suspension, steering and handling evaluation
- ADAS scenarios including parking, adaptive cruise, lane keeping and emergency braking
- Cockpit ergonomics and control-layout assessment using production components
- Electric and hybrid powertrain-response simulation
Safety, Emergency and Public Education
- Immersive demonstrations of speeding, drink-driving, fatigue and distraction risks
- Low-risk road-safety education for young people
- Interactive exhibits for museums, traffic-safety centres and cultural venues
Commercial and International Projects
- Driver induction and refresher training for logistics and passenger-transport operators
- Factory vehicle and special-equipment safety training
- Trade-show, shopping-centre and amusement applications
- Multilingual systems and locally customized road environments for export projects
Key benefits include reduced fuel, vehicle wear and training-space costs; repeatable hazardous scenarios without real-world risk; traceable training data; and realistic acceleration, braking, road and cornering feedback on motion-equipped models.
