International Journal of Production Research · 1993 · 66 citations · 10 references
ComputingAutonomous SystemsSystems EngineeringAutonomous VehiclesRoboticsTransportationRoute PlanningShortest Path AlgorithmsVehicle ControlVehicle Control SystemsAutomated Guided VehiclesAutonomous Vehicle ControlAutonomous Vehicle Path PlanningOperational Control ApproachShortest Path PlanningVehicle GuidanceVehicle NavigationVehicle Path Planning
Bidirectional AGV systems are more efficient than unidirectional ones because they reduce travel distances, and a prior study introduced an efficient algorithm for conflict‑free shortest‑time routing. The study extends prior work by proposing a conservative myopic coordination strategy for vehicles in a bidirectional AGV system. The strategy coordinates vehicle movements using a conservative myopic approach. Simulations compare unidirectional and bidirectional systems, demonstrating the bidirectional system’s superior performance. Correspondence should be addressed to J.
Abstract Bidirectional AGV systems are intuitively more attractive than unidirectional systems in terms of efficiency because of shorter travel distances. An efficient algorithm for finding conflict-free shortest-time routes for automated guided vehicles moving in a bidirectional flow path network has been proposed in a previous paper. This paper is a sequel and describes a conservative myopic strategy to coordinate the movements of vehicles in a bidirectional AGV system. Simulation results are presented to compare the performances of unidirectional and bidirectional systems. Additional informationNotes on contributorsJ. M. A. TANCHOCOJ To whom correspondence should be addressed.
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Design of Automatic Guided Vehicle Systems
William Maxwell, John A. Muckstadt · A I I E Transactions · 1982 · 257 citations