This paper addresses the challenge of secure coordination for advanced air mobility operations, specifically focusing on vertiport sequencing. It proposes a method where a coordinator combines self-reported vehicle information with external surveillance measurements to create robust arrival schedules. The system is designed to handle both self-interested vehicles misreporting arrival times for priority and malicious actors attempting to disrupt the system. AI
IMPACT Proposes a robust coordination mechanism for autonomous vehicle traffic management, potentially impacting future logistics and transportation systems.
RANK_REASON The cluster contains a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=0.4]
Read on arXiv cs.MA (Multiagent) →
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