Method and device for predicting traffic

A method for predicting traffic comprising:

• receiving each payment information for a first type of restaurants;
• determining, according to each payment information for the first type of restaurants, time at which payment times for the first type of restaurants reaches a peak as a designated time;
• determining, according to a saved history record, a peak of payment times for a second type of restaurants in history as a historical peak;
• and
• predicting a traffic of the second type of restaurants at the designated time according to the historical peak, wherein the first type of restaurants is used to provide catering services in which a time from order to payment is shorter than a preset duration, and the second type of restaurants are used to provide catering services in which the time from order to payment is longer than the preset duration;
• and
• determining a popularity value of the second type of restaurants at the designated time according to the predicted traffic and a preset rule;
• and
• displaying the popularity value.

An apparatus for predicting traffic comprising:

• a time determination module for determining time at which payment times for a first service reaches a peak as a designated time;
• a historical peak module for determining a peak of payment times for a second service in history as a historical peak according to a saved historical record;
• and
• a traffic module for predicting a traffic of the second service at the designated time, wherein the first service and the second service belong to the same type of services, an execution manner of the first service is different from that of the second service, a service execution time of the first service is shorter than a preset duration, and a service execution time of the second service is longer than the preset duration, wherein the traffic module determines payment times for the second service at the designated time as current times;
• determines historical time corresponding to the designated time in a historical time period, determines the payment times for the second service at the historical time as historical times according to the saved historical record, compares the current times with the historical times, and predicts the traffic of the second service at the designated time according to a result of the comparison and the historical peak, and where the traffic module determines a difference between the current times and the historical times, determines a weight corresponding to the difference according to a preset corresponding relationship between the difference and the weight, and predicts the traffic of the second service at the designated time according to the weight and the historical peak.

An apparatus for predicting traffic comprising:

• a receiving module for receiving each payment information for a first type of restaurants, wherein the receiving module receives each payment information for a second type of restaurants;
• a time determination module for determining, according to each payment information for the first type of restaurants, time at which payment times for the first type of restaurants reaches a peak as a designated time;
• a historical peak module for determining, according to a saved historical record, a peak of payment times for a second type of restaurants in history as a historical peak;
• and
• a traffic module for predicting a traffic of the second type of restaurants at the designated time according to the historical peak, wherein the first type of restaurants is used to provide catering services in which the time from order to payment is shorter than a preset duration, and the second type of restaurants are used to provide catering services in which the time from order to payment is longer than the preset duration, and wherein the traffic module determines payment times for the second type of restaurants at the designated time as current times according to each payment information for the second type of restaurants, determines historical time corresponding to the designated time in a historical time period, determines the payment times for a second type of restaurants at the historical time as historical times according to the saved historical record, compares the current times with the historical times, and predicts the traffic of the second type of restaurants at the designated time according to a result of the comparison and the historical peak.