Simulation tools are an important method of evaluating ADF in a virtual traffic environment when designing or validating ADF. It is necessary to ensure the viability and robustness of an ADF via different driving scenarios and traffic flow models, as well as providing an assessment of the safety implications of the traffic flow and the interaction effect between AVs and the traffic environment. The technological state-of-the-art for simulations should be investigated during the definition phase. The preliminary research is deployed across a wide range, studies of present toolchains or models in both research and industry, which may provide the possibility to use exchangeable ADF, evaluation metrics and parameter spaces suitable for the intended identification process and which could be applied in the simulation and in response to the requirements of the simulation task (Hallerbach et al., 2018). In addition, the studies of ISO 21934-1 (2021), which provide a prospective safety performance assessment of pre-crash technology by virtual simulation should also be considered. Finally, benchmarking activities should be included during planning, which include gathering, analysing and applying information, measures or practices about the latest simulation technology in the automobile industry.
Main Question
Is the technological state-of-the-art of the simulation addressed and researched?
Sub-Questions
- Are the sensor suite and vehicle architecture documented?
- Are the appropriate toolchains or models selected for satisfying the needs of simulation and ADF within the chosen ODD?
- Does the simulation approach comply with one of the three approaches in ISO 21934-1 (2021)?
- Is a state-of-the-art regarding simulation performed, which combined with ADF simulation and covering existing solutions including their strength and weaknesses?
- Are the hardware and software of the simulation well defined and documented?
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
- ISO (2021) TR 21934-1: Road vehicles — Prospective safety performance assessment of pre-crash technology by virtual simulation — Part 1: State-of-the-art and general method overview. Available at: https://www.iso.org/standard/76497.html (Accessed: 29. November 2023)