DTTF-Sim: A Digital Twin-Based Simulation System for Continuous Autonomous Driving Testing

Area of Science:

• Autonomous Driving Systems
• Traffic Simulation
• Digital Twin Technology

Background:

• Autonomous vehicle (AV) development requires rigorous safety validation.
• Current simulation systems struggle with diverse, real-world traffic scenarios.
• Expert-designed scenarios in simulations lack comprehensive coverage.

Purpose of the Study:

• Introduce DTTF-Sim, a novel simulation system for AV testing.
• Address limitations of existing simulation platforms.
• Enhance the safety and reliability of autonomous driving technology.

Main Methods:

• Developed DTTF-Sim utilizing Digital Twin technology for traffic flow.
• Implemented continuous, long-term simulation capabilities.
• Modeled detailed dynamic traffic scenarios, including multi-vehicle and AV-background traffic interactions and strategic decision-making.

Main Results:

• DTTF-Sim accurately replicates real-world traffic flow conditions.
• The system effectively simulates complex interactions and decision-making processes.
• Case studies and experimental results demonstrate DTTF-Sim's effectiveness.

Conclusions:

• DTTF-Sim overcomes shortcomings of existing AV simulation platforms.
• The system offers advanced capabilities for testing autonomous vehicles.
• DTTF-Sim has the potential to significantly advance AV development and validation.