Simulation
Simulation plays a crucial role in the development of automated driving vehicles. Simulation is a process of creating a virtual version of a real-world environment to test how it behaves in different scenarios. Conducting real-world tests on public roads can require high efforts in cost and time – in particular for large scale testing or iteratively testing – and can pose risks to the safety of the vehicle, its occupants, and other road users. Simulation provides a safe and cost-effective environment for iterative development, rapid testing and refining capabilities of automated vehicles before they are deployed on real roads. By simulating real-world conditions from various regions and traffic patterns, these tools help overcome regulatory and geographical limitations as well.
This simulation topic talks about
- how simulation tools can be applied to the ADF development,
- for which stages of the development cycle they can be effectively used,
- what needs to be considered while developing or choosing a simulation tool and
- how simulation scenarios can be catalogued for an effective experiment management.
This topic is broadly categorized into 4 major aspects:
- Intended use of simulation: The intended use of simulation provides concise overview of the simulation concepts (MIL, SIL, HIL, open loop, closed loop, real-time etc.) that are available to guide the user to choose the most appropriate simulation solution in terms of simulation environment and approach.
- Fidelity of simulation model: The fidelity of simulation models, which represent real-world systems like vehicles, sensors, environment etc. is discussed in terms of trade-offs between computational efficiency and resource consumption, guiding users to select appropriate levels of detail based on available resources and project goals.
- Scenario creation: Scenario creation is addressed with emphasis on standardization and interoperability, to ensure compatibility across platforms, which promote compatibility between different tool vendors.
- Experience management: experiment management highlights the importance and need for robust cataloguing and traceability mechanisms to handle the growing complexity and volume of simulation data, and to ensure seamless integration with development workflows.
- HVI – Controllability of Vehicle from User’s Perspective
- HVI – Assessment of Controllability for ADF Concept
- SOTIF – Triggering Events
- SOTIF – Verification and Validation Strategy
- Functional Safety – Minimal Risk Manoeuvre
- Simulation – Research on state-of-the-art Simulation Technology
- Simulation – Analysis of ADF Impact on Simulation
- Simulation – Use of Simulations for ADF Evolution Evaluation
- Simulation – Validation and Verification Strategy for Simulation
- Simulation – Consideration of Co-Simulation Approaches in Toolchain
- Simulation – Requirements for SIL/HIL Fidelity
- Simulation – Use of Real Driving Data in Simulation
- Simulation – Inclusion of Driver Model in Simulation
- Simulation – Stakeholder Involvement in Simulation Approval
- Simulation – Integration of Complementary Tools in the Simulation Environment
- Simulation – Simulator Compatibility with Relevant Standards
- — Cross-References after this —
- Testing – Consideration of Virtual Testing
- Testing – Applicability of Virtual Test Tools
- Testing – Quality of Virtual Tests
- Testing – Development of Virtual Test Tools
- Testing – Traceability
- Ethics – Addressing Dilemma Scenarios in ADF Development