Optimal Scheduling and Simulation of Snow Removers for Airfield Pavement Based on Breadth-First Search
In this paper, the Breadth-First Search algorithm is adopted to optimize the scheduling of Snow Removers for Airfield Pavement in large airports, as a result, the efficiency of cleaning work can be improved and the delayed time of the airport open can be decreased. The designed function of the automatic formation of plaque, the Airport Road area of adjacency matrix method, weight matrix, completed the snow removal vehicle scheduling model. Finally, an example, show that the algorithm of the allocation of airport runway snow removal vehicles, the optimized performance, as the airport runway snow removal vehicles provide a new strategy for optimal operation.
L. W. Wang et al., "Optimal Scheduling and Simulation of Snow Removers for Airfield Pavement Based on Breadth-First Search", Advanced Materials Research, Vol. 214, pp. 383-387, 2011