KR101799215B1 - Method for demand analysis bus matching - Google Patents

Abstract

Disclosed is a demand analyzing and bus matching method. The demand analyzing and bus matching method includes: a first step of receiving reservation information including at least one among the departure date, departure time, departure point, destination, return time, and travel period input from a consumer; a second step of receiving a desired supply price corresponding to the reservation information input from a bus supplier; a third step of calculating the scores on the safety, price divided by traveling distance, and vehicle convenience equipment parts based on the pre-registered service information corresponding to the bus supplier inputting the desired supply price in the second step; a fourth step of calculating the reference price being the average of the prices for each score based on the scores calculated in the third step; a fifth step of receiving a weighted value input from the consumer for at least one of the scores on the safety, price divided by traveling distance, and vehicle convenience equipment parts; and a sixth step of displaying each of the scores calculated in the fourth step as well as the reference price and the desired supply price calculated in the fifth step.

Description

METHOD FOR DEMAND ANALYSIS BUS MATCHING [0001]

The present invention relates to a demand analysis bus matching method, and more particularly, to a demand analysis bus matching method in which a point of addition is reflected according to a priority of a customer.

In many cases, such as meetings, club events, and volunteer services, the buses are frequently reserved.

Conventionally, a vehicle dispatching matching system (Korean Patent Laid-Open No. 10-2010-0113424) and the like have been disclosed. However, since the conventional technique detects a freight vehicle, there are many inconveniences to find a car, It is inconvenient to select the most suitable vehicle according to the present invention, and there is a problem that the bus supplier determines the price.

Therefore, it is required to study not only the function of searching for a car, but also the system including the criterion of consumer's preference, vehicle information and supply price.

The present invention provides a demand analysis bus matching method by which a consumer can present a criterion for price determination and make a reasonable price determination at the time of purchase.

The present invention provides a demand analysis bus matching method that can be selected according to the preference of the customer through the system reflected in the information about the accident history of the bus supplier, the violation of the traffic regulations, and the price determination.

A demand analysis bus matching method according to an embodiment of the present invention includes a first step of receiving reservation information including at least one of a departure date, a departure time, a departure point, a destination, a return time, A second step of receiving a desired supply price corresponding to the reservation information input from the first supplier and the second supplier in the second step, A third step of calculating a price partial score and a convenience part score of the vehicle, a fourth step of calculating a reference price which is an average of prices per point based on the scores derived from the third step, A fifth step of receiving a weight input from a consumer for at least one of a score, a price partial score per the operating distance, And it may include a sixth step of, each display a score derived from the reference value, the desired feed rates, calculated in the fourth step and the fifth step.

According to an aspect of the present invention, the third step may include calculating a safety part score by the following equation (1).

[Equation 1]

S = 20 * (100- (N * P)) / 100

here,

S is the safety part score,

N is the accident and violation offset score,

P is the deduction ratio

Respectively.

According to an aspect of the present invention, the third step may include calculating a price partial score per distance traveled by the following Equations (2) and (Table 1).

&Quot; (2) "

D = 8 + (E + F) / 2

here,

A is the average of the total supply price,

B is the bus supplier's desired supply price,

C is the average desired supply price of the bidding bus suppliers,

D is the price partial score per service distance,

E is a value obtained by converting B / A in accordance with Table 1,

F is the value obtained by converting B / C according to [Table 1]

Respectively.

According to an embodiment of the present invention, a demand analysis bus matching method is provided in which a customer can present a criterion for price determination and make a reasonable price determination at the time of purchase.

According to an embodiment of the present invention, there is provided a demand analysis bus matching method that can be selected according to the preference degree of the consumer through the system reflected in the information about the accident history of the bus supplier, the violation of the traffic regulations and the price determination.

FIG. 1 is a flowchart illustrating a flow of a demand analysis bus matching method according to an embodiment of the present invention.
2 is a diagram showing an external terminal screen of the bus supplier.
3 is a view showing an accident and a violation deduction score and a deduction ratio used in Equation 1 of the third step according to an embodiment of the present invention.
4 is a diagram showing an external terminal screen of a consumer.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to or limited by the embodiments. Like reference symbols in the drawings denote like elements.

The demand analysis bus matching method includes a first step 10, a second step 20, a third step 30, a fourth step 40, a fifth step 50 and a sixth step 60 .

Hereinafter, the description of each step will be described in more detail.

FIG. 1 is a flowchart illustrating a flow of a demand analysis bus matching method according to an embodiment of the present invention.

Referring to FIG. 1, in a first step 10, reservation information including at least one of a departure date, a departure time, a departure point, a destination, a return time and a travel day number inputted from a consumer can be received.

In other words, a customer who needs a bus charter can access the application to an external terminal such as a smart phone, tablet, PC, etc. in order to save the bus supplier and send reservation information such as departure date, departure time, departure point, destination, return time, And then the server receives the data and proceeds to the second step 20.

In the second step 20, it is possible to receive the desired supply price corresponding to the reservation information inputted from the bus supplier.

The following description will be made with reference to FIG.

2 is a diagram showing an external terminal screen of the bus supplier.

When the reservation information is received and registered in the first step 10, the application transmits an alarm to an external terminal of the bus suppliers to confirm the reservation information as shown in FIG. 2, and the bus supplier corresponding thereto confirms the desired supply price The price may be displayed at the price per KM, and the bidding may be received by the server and proceed to the third step 30.

In the third step 30, the safety partial score 31, the price partial score 32 per vehicle travel distance, and the safety partial score 31 are calculated based on the pre-registered service information of the bus supplier presenting the desired supply price in the second step 20 And calculating the convenience facility sub-score 33. [

In the following, the third step 30 will be described in more detail.

In the third step 30, the safety partial score 31 expressed by the following equation (1) is calculated, the total supply price, the desired supplier price of the bus supplier, and the average desired supply price of the bid bus suppliers are compared Calculating a partial price score 32 per operating distance to be calculated, and computing a convenience partial score 33 of the vehicle that calculates a score for the vehicle mileage, vehicle age, recent vehicle maintenance period, Step can be performed.

[Equation 1]

20 * (100- (N * P)) / 100

Where N is the accident and offense deduction score, and P is the deduction ratio.

[Equation 1] will be described with reference to FIG.

3 is a view showing an accident and a violation deduction score and a deduction ratio used in Equation 1 of the third step according to an embodiment of the present invention.

For example, if a bus supplier A has a single accident, then N is 0 for one accident, so it becomes 5 points according to the table in Fig. 2, so the deduction rate is not applied to 1 If you have a career with B = 1 and an offense of 1, you will get a score of 20 * (95/100) = 19, (5 + 5) * 1.2) = 88, and the score of 20 * (88/100) = 17.6 will be obtained.

The bus supplier who violates the accident and the regulation violation more than 6 times has the problem of safety, so the bus supplier withdraws.

In addition, the deducted score can be recovered from 1 point on the score in Fig. 3 starting from the 18th day of no obligation and compliance, and can be restored one point every 3 days.

For example, if the A bus vendor has recovered one point after 18 days of non-compliance and compliance, it will be 100-5 + 1 = 96 and 20 * (96/100) = 19.2.

In the calculation of the price partial score (32) per operating distance, the price partial score per distance traveled can be calculated by the following equations (2) and (1).

&Quot; (2) "

D = 8 + (E + F) / 2

In this case, A is the average of the total supply price, B is the desired supply price of the bus supplier, C is the average desired supply price of the bidding bus suppliers, D is the price partial score per service distance, One value and F can be respectively a value obtained by converting B / C according to [Table 1] below.

B / A and B / C Less than 1 1 or more
Less than 1.05 1.05 to less than 1.1 1.1 or more and less than 1.15 1.15 or more +2 +1 0 -One -2

If B / A is less than 1, it gives +2 points. If B / A is more than 1 and less than 1.05, If A is 1.1 or more and less than 1.15, -1 is given. If B / A is 1.15 or more, -2 is given.

However, B / C is calculated in case there are price differences due to factors other than distance due to special geography or other requirements.

If the B / C is less than 1, it gives +2 points. If B / C is more than 1 and less than 1.05, If C is 1.1 or more and less than 1.15, -1 is given. If B / C is 1.15 or more, -2 is given.

Then, the average of E and F is added to the base score of 8 points to calculate the price partial score (32) per operating distance.

For example, a bus supplier D made a bid for consumer E, and calculates the price fractional score 32 per service distance accordingly.

A is 1,636 won per KM and B is 1,750 won and B is 1,550 won, the ratio B / A = 1.06 is 0 and B / C = 1.12, which is -1, so the average of the two is -0.5, which is subtracted from the base score of 8 to obtain the score of 7.5.

The calculation of the convenience part score 33 of the vehicle can be scored according to the predetermined criteria by the score of the mileage of the vehicle, the year of the vehicle, the recent maintenance period of the vehicle, and the presence or absence of the vehicle.

When the calculation is completed in the third step 30, the reference price which is the average of the prices per point can be calculated based on the scores derived from the third step 30 in the fourth step 40. [

For the consumer, it is difficult to judge which bus provider is cheaper to offer and expensive to see only the score and price. Therefore, the bus supplier can calculate the reference price by dividing the average of the bus supplier's score by the average of the desired supply prices registered by the bus supplier.

In addition, the score of the third step 30 may be varied according to the fifth step 50. [

Referring again to FIG. 1, the fifth step 50 may receive a weight input from a consumer for at least one of a safety part score, a price part score per operating distance, and a vehicle convenience score.

For example, it is assumed that the preference preference for the consumer F safety is set and the addition ratio to the predetermined preference preference is 20%.

The bus supplier G has 20 points for the safety part (31), 7 parts for the price part (32) and 8 points for the convenience of the vehicle (33), and 8 points for the safety part (31) (32) 9 points for the service distance, and 9 points for the convenience point of the vehicle (33), the bus driver G's original score is 20 + 7 + 8 = 35 points.

However, according to the addition ratio of the preference, the total score of the bus supplier G is (20 * 1.2) = 22 + 7 + 8 = 37 and H is 18 + 9 + 9 = have.

In the sixth step 60, the reference price calculated in the fourth step 40, the desired supply price, and the score derived from the fifth step 50 may be respectively displayed.

Hereinafter, a more detailed description will be given with reference to FIG.

As shown in FIG. 4, in the sixth step 60, a score including the base price, the desired supply price, and the addition point in the fifth step 50 is calculated and displayed in the fourth step 40, You can sort by score, or you can sort by the amount per point compared to the average amount per score.

As described above, the present invention provides a demand analysis bus matching method by presenting a criterion for price determination and allowing the consumer to make a reasonable price determination at the time of purchase.

In addition, the present invention provides a demand analysis bus matching method that can be selected according to the preference of the customer through the system reflected in the information about the accident history and traffic law violation of the bus supplier and the pricing decision.

In addition, the demand analysis bus matching method according to an embodiment of the present invention can be recorded in a computer readable medium including program instructions for performing various computer implemented operations. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The media may be program instructions that are specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is clearly understood that the same is by way of illustration and example only and is not to be construed as limiting the scope of the invention as defined by the appended claims. Various modifications and variations are possible in light of the above teachings. Accordingly, it is to be understood that one embodiment of the present invention should be understood only by the appended claims, and all equivalent or equivalent variations thereof are included in the scope of the present invention.

10: First step
20: Step 2
30: Step 3
40: Step 4
50: Step 5
60: Step 6

Claims (3)

A first step of receiving reservation information including at least one of a departure date, a departure time, a departure point, a destination, a return time and a travel day number input from a consumer;
A second step of receiving a desired supply price corresponding to the reservation information inputted from the bus supplier;
Calculating a safety partial score, a price partial score per travel distance, and a convenience partial score of the vehicle based on the pre-registered service information corresponding to the bus supplier that entered the desired supply price in the second step, step;
A fourth step of calculating a reference price which is an average of prices per point based on the scores derived from the third step;
A fifth step of calculating an overall score by reflecting a weight inputted from a consumer for at least one of the safety part score, the price part score per driving distance, and the convenience store score of the vehicle; And
And a sixth step of displaying the reference price, the desired supply price, and the total score calculated in the fourth step, respectively,
In the third step,
Calculating a safety part score according to Equation (1) below; And
Calculating a price partial score per operating distance according to [Equation 2] and [Criteria 1] below.
[Equation 1]
S = 20 * (100- (N * P)) / 100
here,
S is the safety part score,
N is the accident and violation offset score,
P stands for the deduction ratio, respectively.
&Quot; (2) "
D = 8 + (E + F) / 2
here,
A is the average of the total supply price,
B is the bus supplier's desired supply price,
C is the average desired supply price of the bidding bus suppliers,
D is the price partial score per service distance,
E is a value obtained by converting B / A according to [reference 1]
F is a value obtained by converting B / C according to [Criteria 1]
Respectively.
[Reference 1]
If B / A and B / C are less than 1, -2
-1 when B / A and B / C are between 1 and less than 1.05
When B / A and B / C are 1.05 or more and less than 1.1, 0
If B / A and B / C are between 1.1 and less than 1.5, +1
When B / A and B / C are 1.5 or more, +2 delete delete

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