Real-world traffic conditions present a variety of scenarios and challenges that can truly test the capabilities of an ADF. Monitoring the ADF in these conditions is crucial for understanding any issues that may arise. These issues could range from technical glitches to unexpected responses to certain traffic situations. The In-service field monitoring for ADF involves the collection of data from fleet monitoring, scenario catalogues, safety management systems, customer reports, and occurrence reporting to ensure the safety and effectiveness of ADF throughout its lifecycle.. It also supports a predictive and proactive approach for safety, allowing the ADS community to learn from major ADS accidents/incidents through information sharing. The ultimate goal is not only to confirm the safety of ADS but also to improve it based on the evidence collected from field operation. Developers can use the data collected during operation to evaluate the current performance of their systems and identify areas for improvement.
Main Question
Is a general strategy available to monitor released vehicles in the field?
Sub-Questions
- Have the relevant recommendations (for e.g the In-service monitoring, (Rusciano, E. , 2022) been considered?
- Does the identified strategy ensure continuous and real-time monitoring of the ADF vehicles?
- Does the monitoring strategy help in the early detection and resolution of potential issues with the ADF?
- Is there a mechanism to update the monitoring strategy reviewed and updated based on the insights gained from field operation?
- Is the reporting timeframe defined and agreed by the relevant authorities?
References
- Rusciano, E. (2022) SG3 In Service Monitoring and Reporting. Zenodo. VMAD Technical Workshop on In-Service Safety Performance of Automated Vehicles