Method and apparatus for intelligently reminding vehicle restriction
A technology of intelligent reminder and traffic restriction, which is applied in the direction of registration/instruction of vehicle operation, traffic control system of road vehicles, vehicle components, etc., and can solve problems such as violation of traffic management regulations of traffic restriction
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[0115] For the first implementation, refer to figure 2 According to a flow chart of a method for intelligently reminding vehicles to limit traffic according to an exemplary embodiment, the above step 11 may include the following steps:
[0116] In step 111, the user behavior data within the first preset time period is obtained, and the preset time period includes N restricted periods; wherein, the value of N needs to satisfy the following conditions: the restricted days in the N restricted periods are at least Include all regular blackout dates for the user. The above-mentioned first preset time period may also be a period of time calculated by the user terminal from the current date and including N travel restriction periods.
[0117] In one case, the user behavior data for the first preset time period may be stored in a local storage unit of the user terminal. In the second case, it may be stored in a remote server corresponding to the user terminal. For the second case,...
no. 2 approach
[0136] The second embodiment: refer to Figure 4 According to a flow chart of a method for intelligently reminding vehicles to limit traffic according to an exemplary embodiment, the above step 11 may include:
[0137] In step 115, user behavior data within a second preset time period is acquired; the second preset time period may include at least one traffic restriction period.
[0138] For example, user A's user behavior data from July 12, 2015 to July 28, 2015 is obtained.
[0139] In step 116, analyze the above-mentioned user behavior data to obtain a second user's travel restriction rule; the second user's travel restriction rule includes: a travel restriction period and a user's travel restriction day within each of the above-mentioned travel restriction periods.
[0140] For example, the analysis of user behavior data during the peak hours of work every day from 8:00 to 9:00 in the above time period shows that the analysis results are as follows: from July 12, 2015 to ...
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