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Research on Tasks Scheduling Model based on Awareness-Control Resource of the Vehicle Crew

In this paper, four kinds of task scheduling models are established, which are limited by the awareness-control resource of the vehicle crew. Based on the models, the tasks are scheduled from the perspective of the required time and resources, which achieves the reasonable allocation of the vehicle crew awareness-control resources and the requirements of the crew task load. The models are solved by a self-adaptive particle swarm optimization algorithm with dynamically changing inertia weight (DCWPSO). The proposed method, on the one hand, optimizes the task load distribution of the vehicle crew in general while keeping the vehicle crew with high work efficiency in the whole task cycle. On the other hand, the completion contribution of the vehicle crew in the task chain is increased by the time arrangement of key tasks, thus improving the overall task service effectiveness.