During the design phase of the simulation approach, it is recommended to consider a strategy to validate / verify the simulation to facilitate the execution of simulation tests. All test scenarios, especially the critical ones, should be defined, whether the scenario’s requirements are functional or non-functional. The main research questions should also be clarified to easily validate / verify the simulation (Hallerbach et al., 2018). Critical scenarios for an ADF could be divided into preventable or unpreventable. The question of what is preventable or unpreventable leaves room for discussion. For instance, the ALKS demands a performance from the ADF equal to that of a competent and careful human driver (UNECE, 2021a). Compared with real-world tests, another challenge of the simulation approach is to model the systems as realistically as possible, since the model quality and accuracy determine how close the simulation is to real-world behaviour (Ragan et al., 2015).
Main Question
Is a strategy defined to validate / verify the simulation?
Alternative Questions:
- Are the different test scenarios defined?
- Are the main research questions been clarified for simulation?
- Are the critical scenarios which are unpreventable for a skilled and attentive human driver, preventable for ADF?
- Is there a strategy towards higher levels of realism concerning the simulation approach?
References
- Hallerbach, S. et al. (2018) ‘Simulation-based identification of critical scenarios for cooperative and Automated Vehicles’, SAE International Journal of Connected and Automated Vehicles, 1(2), pp. 93–106. doi: https://doi.org/10.4271/2018-01-1066
- UNECE (2021a) Uniform provisions concerning the approval of vehicles with regard to Automated Lane Keeping Systems, Available at: https://op.europa.eu/en/publication-detail/-/publication/36fd3041-807a-11eb-9ac9-01aa75ed71a1 (Accessed: 27 October 2023).
- Ragan, E.D. et al. (2015) ‘Effects of field of view and visual complexity on virtual reality training effectiveness for a visual scanning task’, IEEE Transactions on Visualization and Computer Graphics, 21(7), pp. 794–807. doi: https://doi.org/10.1109/tvcg.2015.2403312