Trainee classifying and scheduling method and device based on driver training billing-by-the-hour

Abstract

The invention relates to the field of driver training appointment, and especially relates to a trainee classifying and scheduling method and a device based on driver training billing-by-the-hour. Trainees are classified according to the driver training frequency thereof, and the billing-by-the-hour standard of the current driver training for each trainee is thus determined. Macro control is performed by scheduling the billing-by-the-hour standard of each driver training for trainees. Trainees trained more frequently are charged more, and trainees trained less frequently are charged less. The driver training frequency of each trainee tends to be in normal distribution. Thus, the chance that each trainee gets trained is more scientific and reasonable. The method creatively used in the invention can be implemented via a computer program stored in a readable storage medium of a computer by setting up function modules and combining the function modules into a function module architecture.

Description

technical field [0001] The present invention relates to the field of scheduled driving training, and in particular relates to a method and device for classifying and dispatching trainees who charge by time for driving training. For the method used in the present invention, functional modules can be established and combined into a functional module framework, which can be stored in the computer computer program on a readable storage medium. Background technique [0002] Motor vehicle driver training is referred to as driving training. At present, with the development of the economy, there are more and more people who can afford to buy a car, resulting in an increase in the number of people learning to drive year by year, and the students' requests for driving training appointments are also increasing. At this time, some problems are highlighted. Out. For example, some students cannot go to training frequently due to work reasons, but they cannot make an appointment for drivi...

AI Technical Summary

Problems solved by technology

For example, some students cannot go to training frequently due to work reasons, but they cannot make an appointment for driving training when they have time, resulting in a long driving training cycle; Participate in the driving training in the afternoon after the driving training, so that other students do not have the opportunity to participate in the driving training

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