地铁无人驾驶线路异常工况下的调度介入策略与人机协同研究

Key Points

• This research focuses on the dispatch intervention strategies and human-machine collaboration for autonomous subway lines under abnormal conditions.
• Identified types of abnormal conditions such as equipment failure, emergencies, and passenger behavior.
• Developed intervention strategy principles emphasizing safety and rapid response.
• Outlined key implementation practices including anomaly monitoring and emergency plan activation.
• Proposed strategies significantly improve response to equipment failures and emergencies.
• Enhanced human-machine collaboration through intelligent perception and decision support technologies.
• Demonstrated a comprehensive framework for operational safety in autonomous subway systems.