Study on Vehicle Scheduling Algorithms for Logistics Operations Based on Cloud Computing and Neural Network

This paper studies on methods taken in optimizing the existing vehicle scheduling problems in logistic operations. This paper proposes a new vehicle scheduling algorithm based on Cloud Computing and Neural Network to meet quality requirements and customer satisfaction which cannot be done by applying algorithm based only on Cloud Computing. The new algorithm made a parameterized settling model, taking all the service quality and the user’s satisfaction into consideration, to calculate the overall satisfaction on various resources, and then assign them to meet every user’s needs, so as to achieve an equilibrium resource execution. The application of the improved neural network will accomplish the vehicle scheduling. The result of the test for the models above shows that the new algorithm can meet various user’s needs to improve their satisfaction, and meanwhile to improve the resource distribution rate as well as the system resources utilization frequency.