TWI640955B - System and method for estimating the number of vehicles - Google Patents

Abstract

A system and method for estimating a dispatched vehicle includes a passenger record database, a statistical calculation module, and an estimated dispatch vehicle module. According to the passenger's car record, the invention counts the regular time and location of the car, informs the driver around the estimated place before the estimated passenger's time, and informs the estimated passenger to call the car.

Description

 System and method for estimating the number of vehicles  

The present invention relates to a system and method for estimating a vehicle for a taxi, and more particularly to a system and method for using a database information to assist a taxi driver in obtaining a passenger opportunity.

Taxi operators usually cruise on the roads, waiting for passengers to solicit, but it is not only painstaking to spend on the road but also cost a lot of money. Some taxi drivers choose to passively wait for the fleet management system in a specific area in order to save money. Notify the dispatching task.

However, since the location where the passenger calls the vehicle is not necessarily the same, it is sometimes far away from the position where the taxi is waiting for the parking lot to be parked, resulting in the passengers waiting for the vehicle to be stretched, causing dissatisfaction of the passenger.

It can be seen that there are still many shortcomings in the above-mentioned methods of use, which is not a good design, but needs to be improved. In view of the shortcomings derived from the above-mentioned conventional methods, the inventor of the present invention has improved and innovated, and after years of painstaking research, he finally succeeded in researching and developing the reminding system and method for the automatic virtual shifting station of the taxi.

The purpose of this case is to collect the information of the passengers calling the car and analyze the time and place where the potential customers need to ride, so that the taxi driver can plan to bypass or wait in a specific area. In addition, potential customers are offered car discounts to increase passengers' willingness to ride.

A system and method for estimating a vehicle of a taxi that achieves the above object is composed of a front-end vehicle device and a back-end fleet management server. The fleet management server includes a passenger record database, a statistical calculation module and an estimated dispatch module. When passengers use the APP to call a car, the passenger information and the time and location of the car will be stored in the database. After each database update, the statistical operation module calculates the calling rules for each passenger within a few weeks from the database, and the estimated dispatching vehicle module sends the estimated dispatching vehicle information to the taxi driver. Send a discount message to the estimated passengers to increase the estimated success rate.

10‧‧‧Management system

101‧‧‧ Passenger Record Database

102‧‧‧Statistical computing module

103‧‧‧ Estimated delivery module

20‧‧‧ passengers

30‧‧‧Trolling vehicles

S1~S5‧‧‧Step process

1 is a system architecture diagram of a taxi estimation system of the present invention; and FIG. 2 is a flow chart of steps of a method for estimating a taxi of the present invention.

Referring to FIG. 1 , it is an architecture diagram of a taxi estimation system of the present invention, which mainly includes a management system 10 including a passenger record database 101, a statistical operation module 102, and an estimated faction. Car module 103.

The passenger record database 101 is used to store the history record of each passenger 20, including the time of the vehicle, the location of the vehicle, and the statistical value A and the statistical value B.

The statistical operation module 102 is configured to calculate, after the passenger record database 101 updates the passenger 20 call record, the statistical value of each passenger's car record in the K week.

Among them, each car record has a statistical value A and a statistical value B, and the initial value of the statistical value A and the statistical value B are both 0, the statistical value A is in the most recent K week, the passenger 20 is on the same day every week, the same time period The cumulative number of trains in the same area, the statistical value B is the cumulative number of trains in the same area during the same period of time.

When the statistical operation module 102 calculates the statistical value A, the latest car record is set as the target record and is checked according to the time of the car record storage. If the other car record records the car time and the target record, the car is called. If the time difference is seven or seven times and the time difference is within an adjustable tolerance, and the distance between the location of the vehicle and the target record is within an adjustable tolerance, the vehicle record statistic A is marked as -1 and the target record statistic value A plus ω _a *1, ω _a can be a fixed or an adjustable weight, which can be given a different value depending on the current time length of the car record occurrence date. According to this, the latest record with the statistical value A of 0 is used to check the other records with the statistical value A being 0.

When the statistical operation module 102 calculates the statistical value B, the latest record is set as the target record and is checked according to the time of the car record storage. If the other car record is the car time and the target record is seven. Within the day and before and after no more than X minutes, and the location of the car is within the range of M meters from the target record, then the car record statistic value B is marked as -1 and the target record statistic B is added ω _b *1, ω _b can be A fixed or an adjustable weight can be used to give a different value depending on the current time of the vehicle record. According to this, the latest record with the statistical value B of 0 is used to check the other records with the statistical value B being 0.

The estimated dispatching vehicle module 103 checks the statistical value A and the statistical value B of each passenger's car record within 20 days, and defines the critical value of the cumulative number of vehicles in the same period on the same day of the week in K week as α, one week. The critical value of the number of accumulated vehicles in the same time zone is β. If the passenger 20 has a statistical value A greater than α, then the vehicle record is set as the weekly estimated dispatch list, and the statistical value B is greater than β, and the vehicle record is set as the daily estimated dispatch vehicle. The list, the call time of the car record is set to the estimated dispatch time of the estimated bus list, and the call location of the call record is set as the estimated dispatch location of the estimated dispatch list. In the first Y minutes of the estimated delivery time, send the estimated dispatch message to the estimated location of the dispatched car within N km, and send the car discount message to the passenger in the first Z minutes to promote the estimated success of the car. rate.

Referring to FIG. 2, the flow chart of the method for estimating the dispatching method of the taxi of the present invention is as follows: Step S1, after the passenger calls the vehicle, the passenger's calling time and the calling location are stored in the passenger record database; step S2, using statistical operations The module calculates the statistical value of the passenger's calling record in K week according to the passenger's calling record in the passenger record database; and in step S3, when the statistical value calculated by the statistical computing module is greater than a critical value, the estimated dispatching module is The vehicle record is included in the estimated dispatch list; in step S4, the estimated dispatcher message is sent to the taxi driver within the estimated distance of N km before the estimated time of the estimated vehicle; step S5, Estimated to call the car Z minutes before the estimated time, send a car discount to the estimated passengers.

Wherein, the K value, the X value, the Y value, the Z value, the N value, and the M value of the K week, X minutes, Y minutes, Z minutes, N meters, M meters, and N kilometers are all greater than 0, and the critical value is Both α and the critical value β are greater than zero.

Referring to FIGS. 1 and 2, a system and method for estimating a taxi of the present invention will be described in the following. When a passenger 20 calls a vehicle to the management system 10 using a calling service program, the passenger record database 101 is stored. There is a record of the history of the passengers 20, and the statistical calculation module 103 calculates the statistical value A and the statistical value B of each of the passengers' records in the last 12 weeks (K weeks) of the passenger.

When the statistical calculation module 102 calculates the statistical value A, the latest car record is set as the target record and is stored according to the time of the car record. If other car records record the difference between the car time and the current target record, the car time is different. If the number of times on the 7th or 7th is no more than 30 minutes (X minutes), and the location of the vehicle is within 100 meters (N meters) of the target record, the vehicle record statistics A is marked as -1 and The target record statistic A plus (weight) *1, the weight is defined as 0.75 for the last 12 to 9 weeks, 1 for the last 8 to 5 weeks, and 1.25 for the last 4 weeks. According to this, the latest record with a statistical value A of 0 is used to check other records whose statistical value A is 0.

When the statistical operation module 102 calculates the statistical value B, the latest car record is set as the target record and is stored according to the time of the car record. If other car records record the car time and the current target record, the car time is Within 7 days and no more than 30 minutes (X minutes), and the location of the car is within 100 meters (N meters) of the target record, then the vehicle record statistics B is marked as -1 and the target record is statistically B. Plus (weight) *1, the weight is defined as 0.75 for the most recent 7 to 5 days, 1 for the most recent 5 to 3 days, and 1.25 for the most recent 2 days. According to this, the latest record with a statistical value B of 0 is used to check other records whose statistical value B is 0.

The estimated dispatching vehicle module 103 checks the passenger record data of the passenger record database 101 for the passengers within 20 days and the statistical value A and the statistical value B, and the estimated dispatching vehicle module is included in the weekly forecast. Estimated car list or daily estimated dispatch list, for example: If the passenger 20 has a statistical value A greater than 5 (threshold value α), then this car record is set as the weekly estimated dispatch list, statistical value If the B is greater than 3 (threshold value β), the car record is set to the daily estimated dispatch list, and the call time of the call record is set as the estimated dispatch vehicle. At the time, the location of the car called the car record is set as the estimated delivery location of the estimated car message. The estimated 30-minute (Y-minute) of the estimated delivery time is sent to the taxi 30 within a 1 km (N km) of the estimated dispatch location and sent in the first 10 minutes (Z minutes) Call the car discount message to the passenger 20 to promote the estimated success rate of the car.

From the above, when the system and method for estimating the dispatched vehicle of the present invention are compared with other conventional technologies, the following advantages are obtained:

a. The present invention provides a taxi driver with an opportunity to take the time and place of the car to increase the passenger opportunity.

b. Through the system and method for estimating the delivery of the taxi of the present invention, the driver can choose to wait in place after receiving the estimated dispatch message, thereby reducing the fuel consumption around the vehicle.

c. The system and method for estimating the dispatched vehicle of the present invention can effectively increase the estimated success rate by sending passenger discount information, and passengers can also receive preferential feedback.

The detailed description of the present invention is intended to be illustrative of a preferred embodiment of the invention, and is not intended to limit the scope of the invention. The patent scope of this case.

To sum up, this case is not only innovative in terms of technical thinking, but also has many of the above-mentioned functions that are not in the traditional methods of the past. It has fully complied with the statutory invention patent requirements of novelty and progressiveness, and applied for it according to law. Approved this invention patent application, in order to invent invention, to the sense of virtue.

Claims (9)

A taxi estimated parking system mainly includes: a passenger record database for storing a plurality of passenger data, each passenger data includes a plurality of vehicle records, and each vehicle record includes a calling time and a calling vehicle. Location; a statistical operation module for calculating the statistical value of each passenger's car record within a few weeks, the statistical value includes a statistical value A and a statistical value B; an estimated dispatching vehicle module, used for statistics The statistical value calculated by the computing module determines whether each of the passengers' records in the passengers' weeks is listed as the estimated dispatching list, and sends an estimated dispatching message and passenger preferential information to each data in the dispatching list. The taxi estimation vehicle system according to claim 1, wherein when the statistical calculation module calculates the statistical value A, the latest vehicle record is set as the target record and is checked according to the time of the vehicle record storage. The call time of the other car record is different from the car time of the target record by seven or seven times and the time difference between the time zone is within an adjustable tolerance range, and the distance difference between the car location and the target record is adjustable. Within the allowable range, the vehicle record statistic value A is marked as -1 and the target record statistic value A is added to ω _a *1, and the record with the latest one and the statistical value A is 0. The check value A is 0. Other records in which the ω a is a fixed or an adjustable weight. The taxi estimation vehicle system according to claim 2, wherein the date on which the vehicle record is recorded may be different from the current time length to give _a different value of ω _a . The taxi estimation vehicle system according to claim 1, wherein when the statistical calculation module calculates the statistical value B, the latest vehicle record is set as the target record and the time is checked according to the time of the vehicle record storage. The call time of the other vehicle record and the target record are within seven days and the time difference between the vehicle and the vehicle is within an adjustable tolerance range, and the distance between the vehicle location and the target record is within an adjustable tolerance. The record statistic value B is marked as -1 and the target record statistic value B is added to ω _b *1, and the record of the latest one and the statistical value B is 0, and the other record of the statistical value B is 0, wherein the ω _b Is a fixed or an adjustable weight. The taxi estimation vehicle system according to claim 4, wherein the date of occurrence of the vehicle record can be different from the current time length to give _a different value of ω _b . The taxi estimation vehicle system according to claim 1, wherein the estimated dispatching vehicle module checks the statistical value A and the statistical value B of the passenger record within seven days of each passenger, and defines the same area on the same day every week. The critical value of the accumulated number of vehicles is α, and the critical value of the number of accumulated vehicles in the same period is β. If the passenger has a statistical value of the vehicle record A is greater than α, then the vehicle is recorded as the weekly estimate. For the list of vehicles, if the statistic value B of the vehicle record is greater than β, the vehicle record is set as the daily estimated dispatch message, and the call time of the call record is set as the pre-estimation message. Estimated delivery time, the location of the call record is set as the estimated delivery location of the estimated delivery message. The taxi estimation vehicle system as claimed in claim 1, wherein the estimated dispatching vehicle module sends an estimated dispatching message to the estimated dispatching vehicle within a pre-determined allowable range of the estimated dispatching time. The location is within an adjustable tolerance range and a car offer is sent to the passenger within the time of the previous adjustable allowable range of the estimated delivery time. The taxi estimation vehicle system according to claim 6, wherein the threshold value α and the threshold value β are both greater than zero. A method for estimating a dispatch vehicle, the steps of which are: a. After the passenger calls the vehicle, the passenger's calling time and the calling location are stored in the passenger record database. b. Using the statistical computing module, the passenger is called according to the passenger record database. The vehicle record calculates the statistical value of the passenger's car record within a few weeks; c. When the statistical value calculated by the statistical calculation module is greater than a threshold value, it is estimated that the vehicle record is included in the estimated dispatch list; d A taxi driver who sends an estimated dispatch message to an adjustable allowable range within an adjustable period of time before the estimated time of the estimated vehicle is estimated; e. Send a discount to the estimated passenger within the time limit of the estimated time of the dispatcher.