Evaluate the potential of swarm intelligence in managing fleets of autonomous vehicles.

Example answer

Swarm-inspired methods use local interactions among agents to coordinate a fleet objective such as task allocation or route selection. Define the shared information, communication delays, resource constraints and allowed actions before choosing a method. Compare with a centralized assignment or other simple baseline on the same demand and route scenarios.

Decentralization may reduce dependence on a single coordinator, but it does not prove resilience: partitions, stale availability and conflicting assignments can still fail. Test missed messages, uneven demand, vehicle dropout and malicious or erroneous status reports. Measure served demand, wait-time distribution, empty travel, energy and missed commitments; these objectives may conflict.

Fleet optimization must remain separate from validated driving behavior. Local flocking rules do not establish safe spacing, right of way or safe behavior around nonparticipating road users. A successful simulation supports only the modeled conditions and does not certify a road deployment.

Reference: Reynolds' distributed flocking model.