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Research Frontiers in Autonomous Vehicle Coordination Algorithms

Study of distributed control algorithms enabling safe, efficient coordination of autonomous vehicles to reduce congestion and improve urban mobility.

Emergent Swarm Behavior in Mixed-Autonomy Traffic Networks
Decentralized Decision-Making at Congestion Phase Transitions
Adversarial Robustness in Vehicle-to-Vehicle Communication Protocols
Temporal Coordination Without Central Authority or Prior Agreement
Learning Equilibria in Multi-Agent Urban Routing Systems
Latency-Aware Consensus for Real-Time Intersection Management
Game-Theoretic Stability of Autonomous Fleet Formation Dynamics
Distributed Perception Fusion Across Heterogeneous Vehicle Platforms
Predictive Coordination in Partially Observable Traffic Environments
Byzantine-Resilient Consensus for Autonomous Intersection Control

All Smart Cities PhD categories