KR20180119379A - Traffic information evaluation method and device using path extraction - Google Patents

Abstract

According to an embodiment of the present invention, a traffic information evaluation method using path extraction includes a step of extracting a sample path by analyzing traffic information, a step of filtering a quality evaluation object in the sample path based on customer travel trajectory analysis, and a step of analyzing the filtered quality evaluation target by the POI search ranking.

Description

[0001] Traffic information evaluation method and device using path extraction [

The present invention relates to a traffic information evaluation method and apparatus using path extraction for analyzing traffic conditions and extracting various evaluation paths.

The traffic information evaluation method of the related art can receive and analyze traffic information based on a vehicle using a navigation service through a telematics service and a non-use vehicle in providing traffic information for each section to users. The traffic information based on the navigation service data for the traffic evaluation analysis can be described with reference to Table 1 and Table 2 below.

Table 1 below shows the average number of navigation services used per day.

As shown in Table 1, the average number of use of navigation service by day of the telematics service varies according to the weekday and the weekend, and the number of navigation service usage may be more on the weekend than on the weekday.

Table 2 below shows traffic collection data for each day of the vehicle including the telematics service terminal.

As shown in Table 2, the size of traffic collection data for each day of the vehicle including the telematics service terminal may be substantially the same.

Accordingly, in the traffic information evaluation method of the related art, the accuracy of the traffic information collected by the data difference between the vehicle including the telematics service terminal and the vehicle using the navigation service through the telematics service is lowered, and in order to overcome this, A method of analyzing usage pattern and traffic situation is required.

The present invention provides a traffic information evaluation method and apparatus using path extraction.

More specifically, it is possible to provide a traffic information evaluation method and apparatus using path extraction for extracting and evaluating various evaluation paths and analyzing week points according to usage patterns and traffic conditions of actual users.

The problems of the present invention are not limited to the above-mentioned problems, and other problems not mentioned can be clearly understood by those skilled in the art from the following description.

A traffic information evaluation method using path extraction according to an embodiment of the present invention includes the steps of extracting a sample path by analyzing traffic information, filtering a quality evaluation object in the sample path based on a customer travel trajectory analysis, And analyzing the quality evaluation target in a POI (Point of Interest) search ranking.

The step of analyzing the traffic information and extracting the sample path may include a step of paring the starting point and the destination point between the main POIs in the whole country, a step of outputting a static route, a step of outputting a traffic information collection rate and a traffic congestion And analyzing the percentages.

The step of filtering the quality evaluation object among the sample paths based on the analysis of the customer trajectory may include analyzing the starting and destination of the vehicle, grouping the starting and destination groups, And extracting the representative path.

In addition, the step of analyzing the filtered quality evaluation target by the POI search ranking may include analyzing the POI search ranking for each day and time, and adding an evaluation path.

The traffic information analysis step may further include analyzing the evaluation route quality based on traffic condition analysis items of at least one of traffic information collection amount, traffic congestion degree, evaluation time period, mileage distance, and evaluation area.

The method may further include generating the test case classification criterion by combining the analysis items.

In addition, when the analysis is performed based on the evaluation time period, the step of analyzing the traffic congestion degree may further include analyzing the traffic congestion degree based on the predetermined outgoing time and the leaving time.

In addition, when the analysis is performed based on the evaluation time period, the step of analyzing the traffic congestion degree may be further classified by dividing the weekday or the weekend.

In addition, the analysis may further include a step of selecting a section having a high traffic congestion degree as an evaluation object path.

A traffic information evaluation apparatus using path extraction according to an embodiment of the present invention includes a traffic information analysis unit for analyzing traffic information and extracting a sample path, a customer who filters a quality evaluation target among the sample paths, And a POI rank search unit for analyzing the filtered quality evaluation target by a POI search ranking.

Also, the traffic information analyzing unit pairs the departure point and the destination point between the main POIs in the whole country, outputs a static route based on the source and destination information, analyzes the traffic information collection rate and the traffic congestion ratio in correspondence with the static route .

The customer trajectory analysis unit may analyze the start and destination of the vehicle, group the departure and destination of the vehicle, and extract the representative path by filtering the sample path of the traffic information analysis unit with the grouping result.

The POI ranking search unit may analyze the POI search ranking for each day / time zone, and may add the POI to the test case when the POI of the predetermined ranking among the analyzed POI search rankings is not in the representative route.

Also, the traffic information analyzing unit may analyze the route quality based on at least one traffic situation analysis item among traffic information collection amount, traffic congestion degree, evaluation time period, mileage distance, and evaluation area.

The traffic information analyzer may generate the test case classification criterion by combining the analysis items.

In addition, the traffic information analyzing unit may analyze the traffic congestion degree based on a predetermined time of work and a time of work.

In addition, the traffic information analyzing unit may analyze the traffic congestion level by classifying the traffic congestion on weekdays or weekends.

In addition, the traffic information analyzing unit may select an interval in which the traffic congestion degree is high as the evaluation target path.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, And can be understood and understood.

Effects of the traffic information evaluation method and apparatus using the route extraction according to the present invention will be described as follows.

First, it is advantageous to classify path characteristics to minimize similar test cases and to output various test cases.

Second, there is an advantage that various cases can be evaluated without being deviated to specific traffic conditions.

The effects obtained by the present invention are not limited to the above-mentioned effects, and other effects not mentioned can be clearly understood by those skilled in the art from the following description will be.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention. It is to be understood, however, that the technical features of the present invention are not limited to the specific drawings, and the features disclosed in the drawings may be combined with each other to constitute a new embodiment.
1 is a block diagram illustrating a traffic information evaluation analysis method according to an embodiment of the present invention.
2 is a flowchart of a traffic information evaluation method according to an embodiment of the present invention.
3 is a diagram illustrating an example of a method of pairing a source and a destination and a method of extracting a static route according to an embodiment of the present invention.
4 is a view showing traffic information collection amount and traffic congestion according to an embodiment of the present invention.
FIG. 5 is an exemplary diagram illustrating a traffic information collection rate based on a static route according to an embodiment of the present invention. FIG.
FIG. 6 is a diagram showing customer travel trajectory analysis data according to an embodiment of the present invention.
FIG. 7 is a diagram illustrating a POI search and a destination selection order according to an embodiment of the present invention.
FIG. 8 is a diagram showing an example of an evaluation target extraction according to an embodiment of the present invention. FIG.
9 is a block diagram illustrating a configuration of a traffic information evaluation apparatus using path extraction according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an apparatus and various methods to which embodiments of the present invention are applied will be described in detail with reference to the drawings. The suffix "module" and " part "for the components used in the following description are given or mixed in consideration of ease of specification, and do not have their own meaning or role.

In the description of the embodiment, in the case of being described as being disposed at the "upper or lower", "before" or "after" of each element, (Lower) "and" front or rear "encompass both that the two components are in direct contact with each other or that one or more other components are disposed and disposed between the two components.

In describing the components of the present invention, terms such as first, second, A, B, (a), and (b) may be used. These terms are intended to distinguish the constituent elements from other constituent elements, and the terms do not limit the nature, order or order of the constituent elements. When a component is described as being "connected", "coupled", or "connected" to another component, the component may be directly connected to or connected to the other component, It should be understood that an element may be "connected," "coupled," or "connected."

It is also to be understood that the terms such as " comprises, "" comprising," or "having ", as used herein, mean that a component can be implanted unless specifically stated to the contrary. But should be construed as including other elements. All terms, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs, unless otherwise defined. Terms commonly used, such as predefined terms, should be interpreted to be consistent with the contextual meanings of the related art, and are not to be construed as ideal or overly formal, unless expressly defined to the contrary.

The embodiment of the present invention extracts sample paths of various situations through traffic information analysis, extracts a representative route through analysis of a customer's travel trajectory based on the sample route, analyzes the traffic information, and analyzes the customer travel trajectory And the method of extracting the traffic information evaluation object which analyzes the evaluation route through items such as traffic information collection amount, traffic congestion degree, evaluation time period, mileage distance, evaluation area, and the like will be.

1 is a block diagram illustrating a traffic information evaluation analysis method according to an embodiment of the present invention.

The traffic information evaluation analysis method (S110) may include a traffic information analysis step, a customer travel trajectory analysis step, and a POI search ranking analysis step.

The traffic information analysis step (S110) can extract the evaluation route in consideration of the traffic situation.

The traffic condition may include at least one of a driving distance, a traffic condition, and a region. At this time, the traffic information analysis step can minimize the evaluation of similar types of routes in the evaluation route. In addition, the traffic information analysis step can diversify the evaluation route.

The traffic information analysis step (S110) can output the origin and destination configuration and the static route between the national main location information. The national main location information may include the location of the city office of each city. The static route may be a route that is searched in the absence of traffic information after designating the source and destination.

The traffic information analysis step (S110) can analyze the traffic information collection rate and the traffic congestion based on the static route. For example, the traffic information analysis step can classify the path type and extract the sample path.

The traffic information analysis step (S110) can classify the route characteristics into five categories of traffic information.

The traffic information analysis step S110 may minimize similar test cases corresponding to the classification of the path characteristics. In addition, the traffic information analysis step S110 may output various test cases. For this, the traffic information analysis step S110 may generate a test case classification criterion through a combination of the items.

Examples of the five items for the traffic situation analysis are shown in Table 3 below.

The traffic information analysis step (S110) may generate a test case classification criterion through a combination of the traffic situation analysis items.

For example, in the traffic information analysis step S110, the traffic information collection amount is high, the traffic congestion degree item is in a low level, the evaluation time period item is weekday low, the mileage item is intermediate, If the region is in the Seoul state, a test case corresponding to the above item can be calculated.

In the traffic information analysis step S110, the traffic information collection amount is small, the traffic congestion degree item is a little clogged, the evaluation time point item is the daytime Saturday, the mileage distance item is the long distance distance, In the case of the metropolitan area status, the test case corresponding to the above item can be calculated.

The customer trajectory analyzing step (S120) can analyze the entire trajectory of the traffic collection vehicle and extract the main trajectory by day and time.

The customer driving trajectory analysis step (S120) can analyze the starting point and the destination of the vehicle using the navigation service. The customer travel trajectory analysis step can be grouped at the origin and destination.

The customer trajectory analysis step S120 may receive the result of the traffic information analysis step and may extract the representative path by filtering the result of the customer trajectory grouping. The representative path may be an evaluation target path for evaluation analysis.

The point of interest (POI) search ranking analysis step S130 may analyze the destination information that is not included in the traffic information analysis step S110 and the customer travel path analysis step S120.

The POI search ranking analysis step (S130) may add a test case corresponding to the analyzed result.

For example, the POI search ranking analysis step (S130) may analyze the POI search ranking by day and time.

2 is a flowchart of a traffic information evaluation method according to an embodiment of the present invention.

Referring to FIG. 2, the traffic information analysis step may configure departure and destination locations based on city and ward offices among the nationwide main location information (S210). The traffic information analyzing step may output the static path based on the source and destination (S220). The traffic information analyzing step may analyze the traffic information collection rate and the traffic congestion based on the static route (S230).

In the traffic information analyzing step, the path type to be evaluated may be classified according to the analyzed traffic information, and a sample path to be evaluated may be extracted (S240).

The customer travel trajectory analysis step can analyze the origin and destination of the vehicle using the navigation service. The customer trajectory analysis step may group the departure place and the destination place (S250).

The customer trajectory analyzing step may extract the representative route by filtering the result of the traffic information analyzing step with the customer trajectory grouping result (S260).

The POI search ranking analysis step may analyze the POI search ranking by day and time (S270). The analyzed POI search ranking result can be added to the test case.

3 is a diagram illustrating an example of a method of pairing a source and a destination and a method of extracting a static route according to an embodiment of the present invention.

The traffic information analyzing unit 11 receives the source and destination information from the POI DB 30 and can parse the source and destination.

The traffic information analysis unit 11 may transmit the paired origins and destinations to the route search unit 40. [ The traffic information analyzing unit 11 may receive the static route corresponding to the source and destination from the route searching unit 40. [

The traffic information analyzing unit 11 may match the static route received from the route search unit 40 with the start location, the destination location, the travel distance, and the area.

4 is a view showing traffic information collection amount and traffic congestion according to an embodiment of the present invention.

Referring to FIG. 4 (a), based on the static route, a path in the city of Seoul can be shown as a heat map as a stagnation state by time period.

The traffic information analyzing unit 11 can analyze the traffic congestion 410 of the Seoul city route based on the time of work and the time of leaving.

For example, in the case of the first analysis case, the traffic information analyzing unit 11 can determine that the traffic congestion is continuous regardless of the time of work and the work time. Therefore, in the case of the first analysis case, the traffic information analyzing unit 11 does not have to evaluate the work and departure time zones, and can evaluate the necessity of evaluation for the route of the general work and time zone.

For example, in the case of the second analysis case, the traffic information analyzing unit 11 can determine that the exit time is a path that is more stagnant than the work time. Therefore, in the case of the second analysis case, the traffic information analyzing unit 11 can determine the necessity of evaluation for the leaving time zone.

For example, in the case of the third analysis case, the traffic information analyzing unit 11 can determine that the route is stagnant at work time than the work time. Therefore, in the case of the third analysis case, the traffic information analyzing unit 11 can judge the necessity of evaluation for the working time zone.

For example, in the case of the fourth analysis case, the traffic information analyzing unit 11 can determine that the traffic congestion is not severe, irrespective of the time of work and work. Therefore, in the case of the fourth analysis case, the traffic information analysis unit 11 can determine the necessity of evaluation according to the mileage distance or road configuration characteristic.

Referring to FIG. 4 (b), the path from Seoul to another area based on the static route can be represented as a heat map by the time zone.

The traffic information analysis unit 11 may analyze the weekday traffic congestion chart 420 and the traffic congestion chart 430 on Saturday.

For example, in the case of the fifth analysis case, the traffic information analyzing unit 11 can determine that the traffic congestion occurs regardless of characteristics of each day of the weekday, Saturday, and the time, such as the time of work and the time of work. Therefore, in the case of the fifth analysis case, the traffic information analysis unit 11 can determine the necessity of evaluation by using the Seoul-Gyeonggi area and the work route or the general time zone route.

For example, in the case of the sixth analysis case, the traffic information analyzing unit 11 can determine that the traffic congestion degree is high and the congestion occurs at the work and work time. Therefore, in the case of the sixth analysis case, the traffic information analysis unit 11 can determine the necessity of evaluation by using the Seoul-Gyeongbuk area work and work route.

For example, in the case of the seventh analysis case, the traffic information analysis unit 11 can determine that the weekend has a higher traffic congestion than the weekdays. Therefore, in the case of the seventh analysis case, the traffic information analyzing unit 11 can determine the necessity of evaluation as a weekend outing route.

FIG. 5 is an exemplary diagram illustrating a traffic information collection rate based on a static route according to an embodiment of the present invention. FIG.

FIG. 5 (a) shows the traffic collection rate 510 of the inter-city moving route. The traffic information analysis unit 11 may determine that it is useless to extract a separate path quality evaluation object based on the traffic information collection rate 510 in the case of Seoul city.

FIG. 5 (b) illustrates the inter-area movement path traffic collection rate 520. FIG. The traffic information analyzing unit 11 can determine that the traffic collection ratio is relatively low in the metropolitan connection segment but the traffic collection rate is low in the local metropolitan area connection segment. Accordingly, the traffic information analyzing unit 11 can carry out a quality check on a route having a low traffic information collection rate of a local eavesdropper connection section.

FIG. 6 is a diagram showing customer travel trajectory analysis data according to an embodiment of the present invention.

Fig. 6 (a) is a result of analyzing the customer trajectory based on the traffic information of the whole country. As shown in the figure, according to the total traffic information 610 of the whole country, the transportation route in Seoul is 12.6%, the route from Seoul to Seoul is 5.5%, and the route from Seoul to Gyeonggi is 5.2% , The route in Gyeonggi-do can be 20%, and the route in Busan can be 3.9%. Therefore, the customer travel locus analyzer 13 can analyze that the route including Seoul and Gyeonggi-do accounts for 43.3% of the total.

6 (b) is a result of analyzing the customer trajectory based on the traffic information in Gyeonggi-do. As shown in the figure, according to the total traffic information 620 in the Gyeonggi province, the customer travel locus analyzer 13 calculates 4.1% of the travel route within Hwaseong city, 2.0% of the travel route in Bundang district in Sungnam city, 2.5% And 1.7% in Namyangju City, and 1.3% in Namyangju City. Accordingly, the customer travel locus analyzing unit 13 can be analyzed as Hwaseong, Bundang, Pyeongtaek, Paju, and Namyangju in the Gyeonggi-do region.

FIG. 6 (c) is a result of analyzing the customer trajectory based on the traffic information in the city of Seoul. As shown, according to the total data 630 in the city of Seoul, the movement route in Gangnam-gu is 4.8%, the route in Seocho-gu is 2.5%, the route in Songpa-gu is 2.5%, the route from Seocho- The movement route in Yeongdeungpo-gu can be 1.9%.

Therefore, the customer travel locus analyzing unit 13 can analyze that there is a lot of movement between the Seocho and Gangnam areas only in the case of the Seoul city area, while the majority of the travel is within the area (old unit).

FIG. 6 (d) is a result of analyzing the customer trajectory based on the traffic information from the city of Seoul to the city of Seoul. As shown, according to the total data (640) from Seoul city to Seoul suburbs, 5.2% in Bundang, Seongnam city, Gyeonggi province, Namyangju in Gyeonggi province, 5.0% in Gyeonggi province, 3.4% in Gyeonggi province, 3.2% in Goyang city in Goyang city and 2.8% in Gyeonggi province.

Therefore, the customer travel locus analyzing unit 13 has the highest route of moving from Seoul to the outside region with 10.2% in the Bundang and Namyangju regions, and the travel route between Paju / Ilsan and Gwangmyeong and Hwaseong .

FIG. 6 (e) is a result of analyzing the customer trajectory based on the traffic information from outside Seoul to the city of Seoul. As shown in the figure, according to the total traffic information (650) from outside of Seoul to Seoul city, it can be 5.7% in Bundang-gu, Seongnam-si, Gyeonggi-do, Namyangju in Gyeonggi-do, 5.0% in Gyeonggi-do, 3.7% in Hwaseong-si in Gyeonggi-do, 3.4% in Doyang-gu in Goyang-si and 3.3%

Therefore, the customer travel locus analyzing unit 13 can analyze that the travel route from Bundang and Namyangju to Seoul is very large, and the travel route between Paju, Ilsan, and Kwangmyung, and Hwaseong is the rest. Accordingly, the customer travel locus analyzing unit 13 can be analyzed as a result similar to the case where the customer travel locus analyzing unit 13 moves to the outside as a whole from the Seoul city area.

FIG. 7 is a diagram illustrating a POI search and a destination selection order according to an embodiment of the present invention.

FIG. 7 (a) is a diagram illustrating a navigation service search request word order.

Referring to FIG. 7 (a), the POI search ranking analyzer 15 may add a representative route based on the ranking of the navigation service search request word. For example, when the E-mart is not included in the destination and the departure place, the POI search ranking analyzing unit 15 may include the E-mart in the destination and the departure place. If the emart is added, the representative path including the emart can be added to the test case.

7 (b) is a diagram showing the navigation search destination ranking. Referring to FIG. 7 (b), the POI search ranking analyzer 15 may add a representative route based on the destination ranking. For example, when the Incheon International Airport is not included in the destination and the departure place, the POI search order analysis unit 15 may include the Incheon International Airport as the destination and the departure place. If the Incheon International Airport is added, the representative route including the Incheon International Airport can be added to the test case.

FIG. 8 is a diagram showing an example of an evaluation target extraction according to an embodiment of the present invention. FIG.

The traffic information evaluation method using the route extraction can extract the route to be analyzed through traffic information evaluation analysis. Through the static route analysis between the main starting point and the destination, it is possible to select the evaluation object based on the segments with high traffic congestion by day and time. Table 4 below shows the paths to be analyzed.

According to the results of traffic information evaluation analysis, 7154 routes can be analyzed. At this time, the evaluation target path can be output based on at least one information such as traffic congestion analysis by time and day, road shape, connection state between evaluation target paths, and the like.

Table 5 below may include the evaluation subject path.

The evaluation target path can be analyzed to 50 points. The evaluation route may be composed of 16 routes in Seoul, 28 routes between Seoul and Gyeonggi, and 6 routes between special metropolitan cities. In addition, the evaluation target path can be divided and analyzed by day of week, time zone, and the like. The day of the week can be divided into at least one of weekdays and weekends. The time zone may be divided into at least one of a time of work and work, daytime, morning, and afternoon.

In addition, the evaluation target path may include characteristics by day of week and time of day as shown in Table 6 below.

In case of going to work during weekdays and leaving work, 10 cases can be analyzed. In case of weekly boundary time, 10 cases can be analyzed. In case of daytime during weekdays, 17 cases can be analyzed. In case of morning hours on weekends, 7 cases can be analyzed. In the case of the afternoon of the weekend, 6 cases can be analyzed.

Accordingly, the traffic information evaluation method using the route extraction can select the evaluation route so that various cases can be evaluated without being deviated to the specific traffic situation.

For example, referring to FIG. 8 (a), the representative route to and from the weekdays can include at least one of Ilsan, Uijeongbu, Namyangju, Incheon, Hwaseong, Suwon, and Bundang.

For example, referring to FIG. 8 (b), the weekend and city representative routes may include at least one of Incheon, Gapyeong, Jecheon, Yongin, and Sejong as the starting and destination points of the evaluation target.

9 is a block diagram illustrating a configuration of a traffic information evaluation apparatus using path extraction according to an embodiment of the present invention.

The path extracting and traffic information evaluating apparatus 10 may include a traffic information analyzing unit 11, a customer driving locus analyzing unit 13, and a POI search ranking analyzing unit 15, as shown in FIG.

The traffic information analyzing unit 11 can extract the evaluation route in consideration of the traffic situation. At this time, the traffic information analyzing unit 11 can minimize evaluation of paths of similar types in the evaluation route. In addition, the traffic information analyzing unit 11 can diversify evaluation routes. The traffic information analysis unit 11 can output the origin and destination configuration and the static route between the nationwide main location information.

The traffic information analysis unit 11 can analyze the traffic information collection rate and the traffic congestion based on the static route, classify the route type, and extract the sample route. The customer travel locus analyzing unit 13 can analyze the entire locus of the traffic collection vehicle and extract a main travel route by day of week and time zone.

The customer travel locus analyzing unit 13 can analyze the origin and destination of the vehicle using the navigation service. The customer traveling locus analyzing unit 13 can group the departure point and the destination.

The customer traveling locus analyzing unit 13 can extract the representative route by filtering the results of the traffic analysis step into the customer traveling locus grouping results.

The POI search ranking analyzer 15 can extract destination information that is not included in the traffic information analysis and the customer travel trajectory analysis step through the POI search ranking analysis.

The POI search rank analyzer 15 can analyze the POI search rankings by day and time. The POI search ranking analyzing unit 15 can add an evaluation route.

The communication unit 20 can receive the traffic information connected through the wireless communication network from outside the vehicle. The communication unit 20 can receive information related to the traffic flow at an angle from outside the vehicle through the wireless communication network.

The POI DB 30 may store a destination and a starting point for the path evaluation. The POI DB 30 may include at least one of the main eavesdropping, ward office, and city hall in the whole country. In addition, the POI DB 30 may include navigation service search request word ranking data and destination ranking data of the navigation service user.

The route search unit 40 receives the paired origins and destinations, and outputs the static routes corresponding to the origins and destinations.

The method according to an embodiment of the present invention may be implemented as a program for execution on a computer and stored in a computer-readable recording medium. Examples of the computer-readable recording medium include a ROM, a RAM, a CD- Tape, floppy disk, and optical input data storage system. The computer readable recording medium may be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner. And functional programs, code, and code segments for implementing the methods described above can be easily inferred by programmers skilled in the art to which the embodiments belong.

10: Traffic information evaluation device using path extraction
11: Traffic Information Analysis Department
13: Customer trajectory analysis section
15: POI search ranking analysis section
20:
30: POI DB
40: Path search section

Claims (19)

Analyzing traffic information and extracting a sample path;
Filtering the quality evaluation object among the sample paths based on the customer travel trajectory analysis; And
Analyzing the filtered quality evaluation target in a POI (Point of Interest) search order;
And a traffic information evaluation method using path extraction. The method according to claim 1,
The step of analyzing the traffic information and extracting the sample path
Paring the origin and destination of major national POIs;
Outputting a static path corresponding to the paired origins and destinations; And
Analyzing a traffic information collection rate and a traffic congestion ratio corresponding to the static route;
And a traffic information evaluation method using path extraction. The method according to claim 1,
Wherein the step of filtering the quality evaluation object among the sample paths based on the analysis of the customer travel trajectory
Analyzing a starting point and a destination of the vehicle using the navigation service;
Grouping the origin and destination; And
Filtering the result of the traffic analysis step with the grouping result to extract a representative path;
And a traffic information evaluation method using path extraction. The method according to claim 1,
The step of analyzing the filtered quality evaluation object by the POI search ranking
Analyzing a POI search ranking for each day and time of the traffic information; And
Adding a test case corresponding to the analysis result of the POI search ranking;
And a traffic information evaluation method using path extraction. The method according to claim 1,
The traffic information analysis step
Analyzing an evaluation route quality based on traffic condition analysis items of at least one of traffic information collection amount, traffic congestion degree, evaluation time period, mileage distance, and evaluation area;
The method comprising the steps of: 6. The method of claim 5,
Generating test case classification criteria by combining the analysis items;
The method comprising the steps of: The method according to claim 6,
When analyzing based on the evaluation time period,
Analyzing the traffic congestion degree on the basis of a predetermined work-out time and a work-out time;
The method comprising the steps of: The method according to claim 6,
When analyzing based on the evaluation time period,
Analyzing the traffic congestion level by dividing the weekday or weekend;
The method comprising the steps of: 9. The method of claim 8,
A step of selecting a section having a high traffic congestion degree as an evaluation target path;
The method comprising the steps of: A computer-readable recording medium on which a program for realizing a traffic information evaluation method using path extraction according to any one of claims 1 to 9 is recorded. A traffic information analyzer for analyzing traffic information and extracting a sample path;
A customer travel locus analyzer for filtering a quality evaluation object among the sample paths based on a customer travel locus analysis;
A POI ranking search unit for analyzing the filtered quality evaluation target by a POI search ranking;
And a traffic information evaluating device using path extracting. 12. The method of claim 11,
The traffic information analysis unit
Pairing the origin and destination of major POIs across the country,
Outputting a static path corresponding to the source and destination information,
The traffic information collection ratio and the traffic congestion ratio are analyzed corresponding to the static route
Traffic Information Evaluation System Using Path Extraction. 12. The method of claim 11,
The customer travel locus analyzing unit
Analyzing the origin and destination of the vehicle using the navigation service,
Grouping the origin and destination,
A representative path is extracted by filtering the sample path of the traffic information analyzing unit with the grouping result
Traffic Information Evaluation System Using Path Extraction. 12. The method of claim 11,
The POI ranking search unit
The POI searching order of the day of the week and the time period of the traffic information is analyzed,
Adding the test case corresponding to the analysis result of the POI search ranking
Traffic Information Evaluation System Using Path Extraction. 12. The method of claim 11,
The traffic information analysis unit
The route quality is analyzed based on traffic condition analysis items of at least one of traffic information collection amount, traffic congestion degree, evaluation time period, mileage distance, and evaluation area
Traffic Information Evaluation System Using Path Extraction. 16. The method of claim 15,
The traffic information analysis unit
The analysis items are combined to generate a test case classification criterion
Traffic Information Evaluation System Using Path Extraction. 17. The method of claim 16,
The traffic information analysis unit
The traffic congestion degree is analyzed on the basis of the predetermined work-out time and the work-out time
Traffic Information Evaluation System Using Path Extraction. 17. The method of claim 16,
The traffic information analysis unit
The traffic congestion is analyzed by dividing the weekday or the weekend
Traffic Information Evaluation System Using Path Extraction. 19. The method of claim 18,
The traffic information analysis unit
As a result of the analysis, a section with a high traffic congestion degree is selected as the evaluation target path
Traffic Information Evaluation System Using Path Extraction.

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