Why does it take two or three days to cancel a driving school file?
2 Answers
Because the driving school's answer files are connected with the vehicle management office. The following is a related introduction about driving schools: 1. Concept: A driving school is a training unit that helps people master driving skills, teaches them safe and civilized driving, and assists them in obtaining a driver's license by passing the examination of the vehicle management department. 2. Competent authority: According to Article 20 of the "Road Traffic Safety Law of the People's Republic of China", "The training of motor vehicle drivers shall be socialized, and the competent traffic department shall implement qualification management for driving training schools and driving training classes." To apply for a medium-sized passenger vehicle driving license, the applicant must be between 21 and 50 years old.
As a former driving school student who has gone through the process of canceling my training records, I'd like to share my experience. The cancellation typically takes two to three days mainly because the driving school needs to thoroughly verify all information to avoid any mistakes. The records include my ID card, training logs, exam scores, and payment details – they have to manually check all these for accuracy before updating the system. The process also involves multiple verification steps to prevent anyone from impersonating me to request cancellation. With limited staff in the driving school office handling numerous applications daily, queuing is quite normal. System updates in the backend also take time, especially when it involves data backup and secure deletion. Additionally, sometimes they need to notify transportation authorities to synchronize records, which adds more delay. While the waiting can be slightly annoying, I think it's worthwhile as it protects my personal information from being lost or misused. The school administrator explained this is standard industry practice – processing can't be rushed, especially during peak seasons when workload doubles, as slower processing actually helps reduce error rates.
