KR101498582B1 - System and Method for Providing Traffic Accident Data - Google Patents

Abstract

The present invention relates to a traffic accident data providing system, and more particularly, to a traffic accident data providing system for collecting and storing traffic accident data when traffic accident data including traffic accident video information and traffic accident location information are transmitted from a first user terminal And a data analysis unit for analyzing the stored traffic accident data to select an accident bunched area.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001]

The present invention relates to a traffic accident data providing system and method, and more particularly, to a traffic accident data providing system and method capable of providing traffic accident data for an area where a traffic accident occurred.

Generally, traffic accidents can be caused by carelessness of the driver driving the car such as speeding or signal violation, environmental problems in the area where the vehicle itself is defective or a traffic accident occurs, In order to prevent and prevent traffic accidents that may be caused by traffic accidents, it is registered as a black spot (danger spot) in areas where traffic accidents occur frequently. And the driver was able to drive safely.

In addition, for a driver of a vehicle using a navigation device that displays a map or assists the driving of the vehicle, a warning sound is output through navigation to allow the driver to drive safely when the vehicle approaches the accident-prone area.

However, since it is registered as an accident bundle area only for the area received through the police station or the insurer, there has been a problem that the accident frequent area can be limited to a certain area.

Accordingly, even in a region where traffic accidents occur frequently, it is difficult to prevent a traffic accident in advance because it is difficult to register as a frequent accident area unless it is received through a police station or an insurance company.

In addition, existing safety signs can play a certain role because they can visually confirm the driver's visibility during the daytime or when the weather is good. However, even in the case of bad weather conditions such as bad weather or fog, Which can be exposed to the risk of traffic accidents.

Korean Patent Publication No. 2000-0023999

A problem to be solved by the present invention is to provide a method and a system for collecting and selecting an accident bundle area in real time based on traffic accident data on a site where a traffic accident occurred from a user terminal, To provide a traffic accident data providing system and method that can effectively prevent a traffic accident.

In order to solve such a problem, in a traffic accident data providing system according to an embodiment of the present invention, when traffic accident data including traffic accident image information and traffic accident location information for a scene where a traffic accident occurred is transmitted from the first user terminal A data collection unit for collecting and storing the traffic accident data, and a data analysis unit for analyzing the stored traffic accident data to select an accident bunch area.

The data analyzing unit may analyze the stored traffic accident data to calculate the number of traffic accidents for a predetermined area, and may select the accident bunched area using the calculated number of traffic accidents.

If the number of traffic accidents occurring in an area within a predetermined radius based on an arbitrary center point is greater than or equal to a predetermined number, the data analyzer may select the area as the accident bundle area.

The data analyzing unit may analyze the stored traffic accident data to calculate the number of traffic accidents according to an accident type for the predetermined area, and may select the accident bunched area using the calculated number of traffic accidents according to the calculated accident type.

The traffic accident location information is information provided through a Global Positioning System (GPS), and may include latitude information, longitude information, altitude information, date information, and time information.

The traffic accident data may further include weather information of a scene where the traffic accident occurred.

The data analyzing unit may classify the traffic accident data for the overlapping events among the stored traffic accident data using at least one of the traffic accident image information and the traffic accident location information and process the traffic accident data as a traffic accident of the same event.

The data analyzer may first classify the traffic accident data having the same date information using the traffic accident location information among the stored traffic accident data, and classify at least one of latitude information, longitude information, altitude information and time information of the traffic accident location information And the image matching rate is calculated by performing image matching on the traffic accident image information among the secondarily classified traffic accident data using the first classified traffic accident data, If the ratio is equal to or greater than a predetermined ratio, it can be handled as a traffic accident of the same event.

The incident management server may further include a data output unit for transmitting data on the accident bundle area selected by the data analysis unit to a second user terminal.

The second user terminal can output a warning of the accident bundle area when it enters within a predetermined radius from the center of the accident bundle area by using the data on the transmitted accident bundle area.

The second user terminal may output a caution warning about the accident bundle area corresponding to the accident type of the accident bundle area by using the data on the transmitted accident bundle area.

According to another aspect of the present invention, there is provided a traffic accident data providing method comprising: receiving traffic accident data including traffic accident image information and traffic accident location information for a scene where a traffic accident occurred from a first user terminal; Collecting and storing the traffic accident data, and analyzing the stored traffic accident data to select an accident bunch area.

Wherein the step of selecting the accident bundle area includes the steps of: calculating the number of traffic accidents for a predetermined area by analyzing the stored traffic accident data; And selecting the area as the accident bundle area if the calculated number of the traffic accidents is greater than or equal to a predetermined number.

Wherein the step of selecting the accident bundle region classifies the traffic accident data for the overlapping event among the stored traffic accident data using at least one of the traffic accident image information and the traffic accident location information and processes the same as a traffic accident of the same event The method comprising the steps of:

The incident management server may further include transmitting data on the selected accident bundle area to a second user terminal.

The second user terminal may further include a step of outputting a caution warning about the accident bundle area when the incident occurs within a predetermined radius from the center of the accident bundle area by using the data on the transmitted accident bundle area.

Meanwhile, in a traffic accident data providing system according to another embodiment of the present invention, when traffic accident data including traffic accident image information and traffic accident location information for a scene where a traffic accident occurred is transmitted from the first user terminal, And a data analyzer for analyzing the stored traffic accident data and processing a duplicate event as a traffic accident of the same event.

According to another aspect of the present invention, there is provided a method for providing traffic accident data, the method comprising: receiving traffic accident data including traffic accident image information and traffic accident location information for a site where a traffic accident occurred from a first user terminal; Collecting and storing the accident data, and analyzing the stored traffic accident data to process the overlapping event as a traffic accident of the same event.

As described above, according to the system and method for providing traffic accident data according to the embodiment of the present invention, it is possible to collect and select the accident bunch area in real time based on the traffic accident data on the site where the traffic accident occurred, It is possible to effectively prevent traffic accidents by providing the driver or the pedestrian with data on the accident-prone area.

More specifically, it collects traffic accident data provided by pedestrians who witnessed a traffic accident at a place other than a police station or an insurance company, other drivers who are driving the scene where a traffic accident occurred, or an accident party, and analyzes the collected traffic accident data By choosing the accident-prone area, it is possible to prevent the problem that the accident-prone area can be limited only for a certain area, and to prevent the occurrence of traffic accident in a wide variety of areas actively.

In addition, the traffic accident video information and the traffic accident location information are classified to classify the same traffic accident data, thereby preventing multiple drivers or pedestrians from duplicating traffic accident data of the same event and recognizing them as traffic accidents of other incidents There is an advantage to be able to do.

In addition, when the vehicle enters the accident-prone area, the driver warns the driver about the accident-prone area, so that the driver can recognize the accident-prone area in advance and drive the vehicle. There is an advantage that the probability of occurrence can be reduced.

In addition, according to the types of traffic accidents, there are advantages to warn drivers or pedestrians in various forms of accidents.

In addition, since the traffic accident can be prevented in advance, there is an advantage that it can reduce the cost of car accident such as automobile repair cost, medical cost or insurance cost which may be caused by traffic accident.

1 is a schematic block diagram of a traffic accident data providing system according to an embodiment of the present invention.
2 is a diagram illustrating an example of traffic accident data provided by a first user terminal according to an embodiment of the present invention.
3 is a detailed configuration diagram of the incident management server shown in FIG.
4 is an exemplary view of traffic accident data output on the screen of an incident management server according to an embodiment of the present invention.
5 is a flowchart illustrating a process of providing traffic accident data according to an embodiment of the present invention.

The terms and words used in the present specification and claims should not be construed as limited to ordinary or dictionary terms and the inventor may appropriately define the concept of the term in order to best describe its invention It should be construed as meaning and concept consistent with the technical idea of the present invention.

Therefore, the embodiments described in the present specification and the configurations shown in the drawings are merely the most preferred embodiments of the present invention and are not intended to represent all of the technical ideas of the present invention. Therefore, various equivalents It should be understood that water and variations may be present.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic block diagram of a traffic accident data providing system according to an embodiment of the present invention.

As shown in FIG. 1, the traffic accident data providing system 1 includes a first user terminal 100, an accident management server 200, and a second user terminal 300.

When a traffic accident occurs, the first user terminal 100 may transmit traffic accident data including traffic accident image information and traffic accident location information on a scene where a traffic accident occurred to the incident management server 200.

The first user terminal 100 may include a black box, which is installed in a vehicle and can record and store all information about a driving situation of a car and a site where a traffic accident has occurred. Such a black box can receive and record current position information of a vehicle traveling or stopping through a Global Positioning System (GPS). The black box captures and monitors the surroundings of the vehicle through a video photographing device, And an external shock can be detected to determine whether or not a traffic accident has occurred.

In addition, the first user terminal 100 may be a smart phone capable of executing an application having a function (black box function) capable of photographing and storing a scene where a traffic accident has occurred or a vicinity of the vehicle through a video photographing device A smart phone, a tablet PC, a personal digital assistant (PDA), a web pad, and the like.

FIG. 2 is a diagram illustrating traffic accident data provided by a first user terminal according to an exemplary embodiment of the present invention. Referring to FIG. 2, a process of transmitting traffic accident data to an accident management server at a first user terminal This will be explained in detail.

If a traffic accident occurs, a driver, a pedestrian who witnesses a scene where a traffic accident has occurred, or another driver who drives a scene where a traffic accident has occurred, passes through the first user terminal 100, So as to generate traffic accident video information.

In addition, the first user terminal 100 can automatically record and store the traffic accident location information provided through the GPS (Global Positioning System) together with the traffic accident image information. Here, the traffic accident location information is location information of a scene where a traffic accident occurred and includes latitude information (N), longitude information (E), altitude information (Altitude), time information (Time) .

The first user terminal 100 may access the accident management server 200 through the communication network 10 and may transmit traffic accident data including traffic accident video information and traffic accident location information to the accident management server 200 .

More specifically, the first user terminal 100 accesses the incident management page provided by the accident management server 200 via the Internet, transmits the accident data to the accident management server 200, An accident management application may be executed through a communication network to transmit traffic accident data to the accident management server 200. [

Here, the traffic accident data may further include weather information of a scene where a traffic accident occurred, in addition to traffic accident image information and traffic accident location information.

In detail, the first user terminal 100 may transmit weather information of a scene where a traffic accident occurred, to the accident management server 200, in addition to traffic accident image information and traffic accident location information. That is, the first user terminal 100 can search for weather information corresponding to the location and date of the scene where the traffic accident occurred using the traffic accident location information, and transmit the weather information to the incident management server 200.

In addition, the incident management server 200 searches for weather information corresponding to the location and date of the site where the traffic accident occurred using the traffic accident location information transmitted from the first user terminal 100, Can be directly detected.

In addition, the traffic accident data may further include information on the time when a traffic accident occurred. Since the information on the time of occurrence of the traffic accident is not precisely known to the pedestrian or other driver unless it is an accident party, Only when the time of occurrence of the traffic accident such as 'accident occurrence time: 5 minutes before' can be predicted, the user can directly record the incident and transmit it to the accident management server 200.

FIG. 3 shows a detailed configuration of the incident management server shown in FIG. 1. FIG.

3, the incident management server 200 is connected to the first and second user terminals 100 and 300 through the communication network 10 to exchange various information and data. Herein, the communication network 10 includes a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), the Internet, a 2G, 3G and 4G mobile communication network, Wi-Fi), WiBro, etc., and the communication method does not depend on the wired or wireless, and any communication method may be used.

The incident management server 200 receives traffic accident data from the first user terminal 100 and performs management for preventing a traffic accident. The incident management server 200 includes a data collecting unit 210, a database 230, a data analyzing unit 250 and a data output unit 270. [

The data collection unit 210 collects traffic accident data transmitted from the first user terminal 100 and stores the collected traffic accident data in the database 230. More specifically, the data collection unit 210 detects the time at which the traffic accident data is transmitted, And information on the traffic accident reception time together with the traffic accident data can be stored in the database 230.

4 is a view illustrating an example of traffic accident data output on the screen of the incident management server according to an embodiment of the present invention. As shown in FIG. 4, A certain point is displayed on the map so that it can be easily confirmed on the screen, and a plurality of traffic accident data corresponding thereto can be controlled to be outputted. At this time, a plurality of traffic accident data can be sequentially listed and outputted according to the date or time of the occurrence of the traffic accident. For example, on July 23, 2012, July 17, 2012, June 3, 2012 Similarly, it is possible to control the traffic accident data to be sequentially output in the order of the recent traffic accidents. In addition, the traffic accident data can be converted into a certain format and structure and output for easy identification by the administrator.

The data analysis unit 250 may analyze the traffic accident data stored in the database 230 to select an accident bundle area. That is, the data analysis unit 250 may statistically analyze the traffic accident data stored in the database 230 to calculate the number of traffic accidents for a predetermined area, and may select an accident frequent area using the calculated number of traffic accidents have.

More specifically, the data analysis unit 250 statistically analyzes the traffic accident data stored in the database 230, calculates the number of traffic accidents occurring in an area within a predetermined radius based on an arbitrary center point, If the number of traffic accidents is more than the predetermined number, it is possible to select the area as the accident area. For example, if the number of traffic accidents occurring in a region within a radius of 50m from the central point of the area for the past three years is 5 or more, the data analysis unit 250 can select the area as the accident area, If there are two or more areas where the number of cases is more than five, the top five areas where the number of traffic accidents is high can be selected and selected as a multiple area.

The data analysis unit 250 analyzes the traffic accident data stored in the database 230 to calculate the number of traffic accidents for each predetermined type of area and calculates the number of traffic accidents according to the calculated type of traffic accidents Can be selected.

In more detail, the data analysis unit 250 analyzes the traffic accident data stored in the database 230 to detect the cause of the traffic accident, and detects the cause of the traffic accident, The number of accidents can be calculated. The data analysis unit 250 can select the accident bundle area using the number of traffic accidents according to the accident type.

For example, the data analysis unit 250 analyzes the traffic accident data and analyzes the traffic accident data to determine whether an accident (accident type 1) between the automobile and the pedestrian, a slipping accident (accident type 2) or a collision accident Type 3), and it is possible to calculate the number of traffic accidents according to the type of accidents, and to detect the types of accidents frequently occurring in the accident accidents zone and the accident accidents zone.

The data analyzer 250 classifies the traffic accident data for the overlapping events among the traffic accident data stored in the database 230 using at least one of the traffic accident image information and the traffic accident location information, . ≪ / RTI >

More specifically, the data analyzer 250 may sort the traffic accident data having the same date information by using the traffic accident location information among the traffic accident data stored in the database 230. For example, the traffic accident location information (Incident) includes GPS information received through a GPS (Global Positioning System) and includes latitude information N, longitude information E, altitude information, time information, Assuming that the date information (Day) is included in the format of Equation (1) below,

(Equation 1)

The data analysis unit 250 classifies the same traffic accident data as the date information on July 29, 2012 into the first group as in the following (Formula 2), and the data on the same traffic accident data as the date information on August 1, 2012 , And classified into the second group for the traffic accident data having the date information of July 10, 2012 and the third group for the traffic accident data having the date information of July 10,

(Equation 2)

The data analyzer 250 may classify the traffic accident data classified in the primary category using at least one of the latitude information, the longitude information, the altitude information, and the time information of the traffic accident location information.

For example, the data analysis unit 250 calculates the distance between events in which a traffic accident occurred using the latitude information, the longitude information, the altitude information, and the time information for the first group in which the date information is July 29, 2012 The first classified traffic accident data can be classified into the second category. At this time, the distance (d) between the events can be calculated using the Euclidean distance as shown in the following equation (3).

(Equation 3)

d =

If the distance d between the events is within a predetermined distance, the data analyzer 250 determines whether the distance d between the events calculated using Equation (3) is within a predetermined distance, Data can be classified into secondary classification.

Next, the data analysis unit 250 calculates the image matching rate by image-matching the traffic accident image information among the secondary-classified traffic accident data, and if the calculated image matching rate is equal to or greater than a predetermined ratio, . ≪ / RTI > That is, the data analyzer 250 extracts feature points from the traffic accident image information to determine the image matching rate between the traffic accident image information, generates a descriptor based on the extracted position as the feature points, The point at which two straight lines meet at the point of intersection) can be calculated.

Also, the data analyzer 250 may extract feature points of the traffic accident image information, calculate the image matching rate through matching between the extracted feature points, and determine the identity between the plurality of traffic accident image information. At this time, the image matching rate is expressed by the distance between the minutiae points and can be represented by a relative value.

In addition, the data analyzing unit 250 may determine whether weather similarity is found with respect to a point where a traffic accident occurs at the same time, and may control the weather information to be marked as a feature if the date is found to be identical. This weather information can be controlled so that the second user terminal 300 is output together with the warning warnings about the accident bunch area.

Meanwhile, in the embodiment of the present invention, the data analysis unit 250 is configured to select an accident bundle area. However, it is needless to say that the accident bundled area can be selected by the manager managing the incident management server in addition to the above- .

Accordingly, the data analyzing unit 250 analyzes the traffic accident data stored in the database 230 to process an overlapping event as a traffic accident of the same event, and the administrator selects an accident bunch area. Lt; / RTI >

The data output unit 270 may transmit data on the selected accident bundle area to the second user terminal 300. [

Here, the second user terminal 300 may include a navigation unit for displaying a map or looking for a shortcut to assist the driver in driving the vehicle. The second user terminal 300 may be a smart phone, a tablet personal computer, a personal digital assistant (PDA), a personal digital assistant (PDA) or the like capable of executing an application having a navigation function. A web pad or the like.

Meanwhile, although the first and second user terminals are separately described in the embodiment of the present invention, when the first and second user terminals are terminals having a black box and a navigation function, Of course it is.

When the second user terminal 300 enters data within a predetermined radius from the center of the accident bundle area using data on the accident bundle area, it is possible to control the warning output of the warning bundle area. At this time, the data on the accident bunched area is transmitted to the second user terminal 300 when the second user terminal 300 enters within a predetermined radius from the center of the accident bunched area, can do. When the second user terminal 300 enters within a predetermined radius from the center of the accident bundle area in a state where the data on the accident bundle area is previously transmitted to and stored in the second user terminal 300, Can be controlled.

More specifically, when the second user terminal 300 enters within a predetermined radius of 100 m from the center of the accident bundle area on the basis of the moving direction or the current position, a warning message or a warning sound So that a user who is exposed to the risk of a traffic accident can easily and quickly recognize the vehicle and can perform safe driving, thereby preventing a traffic accident.

Also, the second user terminal 300 can use the data of the accident bundle area to control the warning output of the warning bundle area corresponding to the accident type in the accident bundle area. For example, if the accident bundle area is a frequent occurrence of a collision accident, the second user terminal 300 informs the user that a collision accident frequently occurs in the accident bundle area, and the user safely drives or walks To prevent traffic accidents.

Hereinafter, a method for managing a traffic accident according to an embodiment of the present invention will be described.

5 is a flowchart illustrating an operation of providing traffic accident data according to an embodiment of the present invention.

As shown in FIG. 5, the first user terminal 100 may transmit traffic accident data including traffic accident image information and traffic accident location information for a scene where a traffic accident occurred (S510).

More specifically, when a traffic accident occurs, a driver, a pedestrian who witnesses a scene where a traffic accident occurred, or another driver who drives a traffic accident occurred, is informed of the occurrence of a traffic accident through the first user terminal 100 The scene of the scene can be photographed to generate traffic accident video information.

The first user terminal 100 may automatically record the traffic accident location information provided through the GPS and store the information together with the traffic accident image information. Here, the traffic accident location information is location information on a scene where a traffic accident occurred, and includes latitude information (N), longitude information (E), altitude information, date information (Day), and time information .

The first user terminal 100 can access the accident management server 200 through the communication network 10 and transmit the stored traffic accident video information and traffic accident location information (traffic accident data) to the accident management server 200 have.

Then, the accident management server 200 collects and stores the traffic accident data (S520). At this time, the incident management server 200 detects the time at which the traffic accident data is transmitted, records the time as the traffic accident reception time, and stores the information on the traffic accident reception time together with the traffic accident data in the database 230.

Next, the accident management server 200 may analyze the stored traffic accident data to select an accident bundle area (S530). That is, the accident management server 200 can statistically analyze the stored traffic accident data, calculate the number of traffic accidents for the predetermined area, and select the accidents area using the calculated number of traffic accidents.

More specifically, the accident management server 200 statistically analyzes stored traffic accident data, and if the number of traffic accidents occurring in an area within a predetermined radius based on an arbitrary center point is equal to or greater than a predetermined number, Area can be selected. For example, if the number of traffic accidents occurring in a region within a radius of 50 m from the central point of the area for the past three years is 5 or more, the accident management server 200 can select the area as the accident area, If there are two or more areas where the number of cases is more than five, the top five areas where the number of traffic accidents is high can be selected and selected as a multiple area.

In addition, the accident management server 200 may analyze the stored traffic accident data to calculate the number of traffic accidents according to the accident type for the predetermined area, and to select the accident frequent area using the number of traffic accidents according to the calculated accident type.

In more detail, the accident management server 200 may first sort traffic accident data having the same date information by using the traffic accident location information among the traffic accident data stored in the database 230. For example, the traffic accident location information is GPS information (Incident) provided through a GPS (Global Positioning System) and includes latitude information (N), longitude information (E), altitude information, time information Assuming that it is received in a format such as the following (Equation 1) including the date information (Day)

(Equation 1)

The accident management server 200 classifies the same traffic accident data as the date information on July 29, 2012 into the first group as in the following (Formula 2), and records the same traffic accident data as the date information on August 1, 2012 , And classified into the second group for the traffic accident data having the date information of July 10, 2012 and the third group for the traffic accident data having the date information of July 10,

(Equation 2)

Then, the accident management server 200 can classify the traffic accident data classified in the first order using the at least one of the latitude information, the longitude information, the altitude information, and the time information of the traffic accident location information. For example, the incident management server 200 calculates the distance between events in which a traffic accident occurred using the latitude information, the longitude information, the altitude information, and the time information for the same first group of date information as July 29, The traffic accident data of the same event can be classified into the second category. At this time, the distance (d) between the events can be calculated using the Euclidean distance as shown in the following equation (3).

(Equation 3)

d =

If the distance d between the events is within a predetermined distance, the data analyzer 250 determines whether the distance d between the events calculated using Equation (3) is within a predetermined distance, Data can be classified into secondary classification.

Next, the image matching rate is calculated by matching the traffic accident image information of the secondary classified traffic accident data, and if the calculated image matching rate is more than a predetermined ratio, it can be processed as a traffic accident of the same event.

Meanwhile, in the embodiment of the present invention, the accident management server 200 is configured to select an accident bundle area, but it is needless to say that the accident bundled area can be selected by the manager managing the accident management server in addition to the above- .

Accordingly, the accident management server 200 may analyze the stored traffic accident data to perform an operation of treating an overlapping event as a traffic accident of the same event, and the administrator may select an accident bunch area.

As described above, in addition to a police station or an insurance company, a pedestrian who witnessed a scene of a traffic accident, another driver who is driving a scene where a traffic accident occurred, or an accident party uses traffic accident data provided through the first user terminal 100 By integrating and managing traffic accidents, it is possible to prevent traffic accidents in advance by diagnosing the causes of traffic accidents and external causes related to the occurrence of traffic accidents in a more complex manner.

In addition, since it can complement the traffic accident data not provided by the police or the insurance company, it can provide the traffic accident data more efficiently.

Next, the incident management server 200 may transmit data on the selected accident bundle area to the second user terminal 300 (S540). Here, the second user terminal 300 may include a navigation unit for displaying a map or looking for a shortcut to assist the driver in driving the vehicle. The second user terminal 300 may be a smart phone, a tablet personal computer, a personal digital assistant (PDA), a personal digital assistant (PDA) or the like capable of executing an application having a navigation function. A web pad or the like.

Then, the second user terminal 200 determines whether the second user terminal 200 enters within a predetermined radius from the center of the accident bundle area using the data on the accident bunch area (S550). If the second user terminal 200 enters the bunch of accident bunches (S550-Y), it is controlled so that a caution warning about the accident bunched area is outputted (S560).

More specifically, when the second user terminal 300 enters within a predetermined radius of 100 m from the center of the accident bundle area on the basis of the moving direction or the current position, a warning message or a warning sound So that a user who is exposed to the risk of a traffic accident can easily and quickly recognize the vehicle and can perform safe driving, thereby preventing a traffic accident.

Also, the second user terminal 300 can use the data of the accident bundle area to control the warning output of the warning bundle area corresponding to the accident type in the accident bundle area. For example, if the accident bundle area is a frequent occurrence of a collision accident, the second user terminal 300 informs the user that a collision accident frequently occurs in the accident bundle area, and the user safely drives or walks To prevent traffic accidents.

One embodiment of the present invention includes a computer-readable medium including program instructions for performing various computer-implemented operations. The medium records a program for executing the method of providing the traffic accident data described above. The medium may include program instructions, data files, data structures, etc., alone or in combination. Examples of such media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD and DVD, programmed instructions such as floptical disk and magneto-optical media, ROM, RAM, And a hardware device configured to store and execute the program. Or such medium may be a transmission medium, such as optical or metal lines, waveguides, etc., including a carrier wave that transmits a signal specifying a program command, data structure, or 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.

The foregoing detailed description is illustrative of the present invention. It is also to be understood that the foregoing is illustrative and explanatory of preferred embodiments of the invention only, and that the invention may be used in various other combinations, modifications and environments. That is, it is possible to make changes or modifications within the scope of the concept of the invention disclosed in this specification, the disclosure and the equivalents of the disclosure and / or the scope of the art or knowledge of the present invention. The foregoing embodiments are intended to illustrate the best mode contemplated for carrying out the invention and are not intended to limit the scope of the present invention to other modes of operation known in the art for utilizing other inventions such as the present invention, Various changes are possible. Accordingly, the foregoing description of the invention is not intended to limit the invention to the precise embodiments disclosed. It is also to be understood that the appended claims are intended to cover such other embodiments.

1: Traffic accident data providing system
100: first user terminal
200: incident management server 210: data collection unit
230: database 250: data analysis unit
270: Data output section
300: second user terminal

Claims (18)

When the traffic accident data including the traffic accident video information, the traffic accident location information, and the weather information of the site where the traffic accident occurred is transmitted from the first user terminal, the traffic accident data is collected and stored A data collecting unit,
A data analysis unit for analyzing the stored traffic accident data to select an accident bunch area, and
And a data output unit for transmitting data on the accident bunched area selected by the data analysis unit to a second user terminal,
Wherein the data analyzing unit transmits the weather information to the data output unit and outputs the weather information to the second user terminal when the weather is found to be the same at the point where the traffic accident occurs at the same time. The method according to claim 1,
Wherein the data analyzing unit analyzes the stored traffic accident data to calculate the number of traffic accidents for a predetermined area and selects the accident bunched area using the calculated number of traffic accident incidents. 3. The method of claim 2,
Wherein the data analyzing unit selects the area as the accident bundle area when the number of traffic accidents occurring in an area within a predetermined radius based on an arbitrary center point is equal to or greater than a predetermined number. 3. The method of claim 2,
The data analyzing unit analyzes the stored traffic accident data to calculate the number of traffic accident incidents according to an accident type for a predetermined area, and selects a traffic accidents data area using the calculated number of traffic accidents according to the calculated accident type . The method according to claim 1,
The traffic accident location information is information provided through a Global Positioning System (GPS), and includes latitude information, longitude information, altitude information, date information, and time information. delete 6. The method of claim 5,
The data analyzing unit classifies the traffic accident data for the overlapping events among the stored traffic accident data using at least one of the traffic accident video information and the traffic accident location information, system. 8. The method of claim 7,
Wherein the data analyzer firstly classifies traffic accident data having the same date information using the traffic accident location information among the stored traffic accident data,
Classifying the first-classified traffic accident data into at least one of latitude information, longitude information, altitude information, and time information of the traffic accident location information,
Calculating the image matching rate by image-matching the traffic accident image information among the secondary classified traffic accident data, and if the calculated image matching rate is equal to or greater than a predetermined ratio, processing the traffic accident data as a traffic accident of the same event system. delete The method according to claim 1,
Wherein the second user terminal outputs a caution warning about the accident bundled area when the second user terminal enters within a predetermined radius from the center of the accident bundled area by using the data on the transmitted accident bundled area. The method according to claim 1,
And the second user terminal outputs warning of the accident bundle area corresponding to the accident type of the accident bundle area using the data on the transmitted accident bundle area. The data collection unit receives traffic accident data including traffic accident video information, traffic accident location information, and weather information of a site where the traffic accident occurred, from the first user terminal,
Collecting and storing the traffic accident data,
The data analysis unit analyzes the stored traffic accident data to select an accident bunch area, and
Wherein the data output unit transmits data on the selected accident bundle area to the second user terminal,
The step of analyzing the stored traffic accident data to select an accident bunched area may include the step of causing the weather information to be output from the second user terminal Providing traffic accident data. 13. The method of claim 12,
Wherein the step of selecting the accident-
Analyzing the stored traffic accident data to calculate the number of traffic accidents for a predetermined area;
And if the calculated number of the traffic accidents is greater than or equal to a predetermined number, the data analysis unit selects the corresponding area as the accident bundle area. 13. The method of claim 12,
Wherein the step of selecting the accident-
And the data analyzing unit classifies the traffic accident data for the overlapping events among the stored traffic accident data using at least one of the traffic accident video information and the traffic accident location information to process the traffic accident data of the same event A method of providing traffic accident data. delete 13. The method of claim 12,
Further comprising the step of outputting a caution warning about the accident bundle area when the second user terminal is within a predetermined radius from the center of the accident bundle area by using the data on the transmitted accident bundle area, Delivery method. delete delete

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