WO2015099387A1

WO2015099387A1 - Intelligent traffic management system

Info

Publication number: WO2015099387A1
Application number: PCT/KR2014/012653
Authority: WO
Inventors: 송석일; 문철; 이재성
Original assignee: 한국교통대학교산학협력단
Priority date: 2013-12-23
Filing date: 2014-12-22
Publication date: 2015-07-02

Abstract

The present invention relates to an intelligent traffic management system comprising: a traffic data management module for distributed management of data such as images, videos, times, positions, and vehicle states collected by a traffic data collecting device which operates in a vehicle; and a device for generating a real-time road map using the same.

Description

Intelligent traffic management system

The present invention includes a traffic data management module for distributing and managing data collected by a traffic data collection device operating in a vehicle, such as image, video, time, location, and vehicle status, and a device for generating a real-time road map using the same. It's about intelligent traffic management systems.

Recently, ubiquitous computing environment, which can receive various services through the web anytime and anywhere, is rapidly spreading due to the advancement of electronic and communication technologies and the spread of internet services. This ubiquitous computing environment requires a large cluster system platform that can provide large storage space and fast and stable services.

On the other hand, in recent years, the traffic environment of the city is rapidly falling due to heavy traffic and the traffic safety is also very serious problem. In order to solve this problem, research and development on various intelligent transport systems (ITSs) connected to a large storage space or a large cluster system are being actively conducted.

Intelligent transportation systems use advanced technologies to solve traffic problems by using existing transportation systems more efficiently or by providing new transportation services. These intelligent traffic systems are classified into Advanced Traffic Management System (ATMS), Advanced Traveler Information System (ATIS), Advanced Public Transportation System (APTS), Advanced Vehicle / Road System. It is divided into five areas, Advanced Vehicle & Highway System (AVHS) and Commercial Vehicle Operation System (CVOS), and is under research and development to provide various services in each field.

In addition, a map update method of a navigation system that can be applied to a complex urban traffic environment and provides a user's convenience by combining with an intelligent transportation system requires a new method to be associated with various services of the intelligent transportation system. to be.

Accordingly, in the present invention, as a distributed traffic data management module that can be actively used for various services of an intelligent traffic system, the traffic data such as image, video, location, and vehicle status collected by a traffic data collection device operating in a vehicle are distributed and managed. An intelligent traffic management system including a distributed traffic data management module is provided.

In another aspect, the present invention provides a method and system for generating a real-time road map that can provide an image road map composed of the latest road information and a real-time event of a specific route through a space-time data query to the distributed traffic data management module. I would like to.

Furthermore, an embodiment of the present invention is to provide a real-time road map generation method and system that can provide a variety of traffic safety and economic driving services in an intelligent transportation system.

In order to solve the above technical problem, the distributed traffic data management system according to an embodiment of the present invention includes a traffic data collection device of a vehicle connected to the traffic data management server through a network. The traffic data collection device may include a data storage unit for storing collected traffic data according to importance, wherein the importance includes a time at which the traffic data was collected, a level of importance according to a user's customization of the event, or a combination thereof. An annotation unit for managing the metadata for the image data and video data of the image, and a first communication unit for transmitting the metadata, traffic data or a combination thereof to the traffic data management server.

In addition, according to another embodiment of the present invention, the road map generation device connected to the distributed traffic data management module including a traffic data collection device operating in the vehicle and a traffic data management server on the network to generate a real-time road map Make it available. Specifically, the road map generation device is a GPS unit for calculating the position and speed of the device from the positioning signal of the Global Positioning System (GPS) or mobile communication system, and the latest of the specific path based on the position information of the GPS unit Included in the query unit for requesting the map data update information including image and real-time event information to the distributed traffic data management module, the communication unit for receiving a query response signal for the map data update information from the distributed traffic data management module, and the query response signal It may be configured to include a control unit for reflecting the latest image and the real-time event information on the specified route to the map data of the navigation.

According to an embodiment of the present invention, as a distributed traffic data management system that can be actively used for various services of an intelligent traffic system, the image, video collected at various places by the traffic data collection device operating in a vehicle over time It is possible to provide an intelligent traffic management system including a distributed traffic data management module for distributing and managing traffic data such as location, vehicle status, and the like.

According to another embodiment of the present invention, traffic data, such as image, video, location, vehicle status, etc. collected by the traffic data collection device capable of mobile communication attached to the vehicle is stored in the vehicle or client-side storage device and stored on the server side According to the query, it is possible to provide a traffic data collection device for retrieving previously stored traffic data and providing it to the server side.

In addition, according to another embodiment of the present invention, it is possible to provide a road map updating method that can be actively used in various traffic information services. That is, it is possible to provide a real-time road map generation method and system that provides an image road map composed of the latest road information and a real-time event of a specific route through a space-time data query to the distributed traffic data management module.

In addition, according to the present invention, it is possible to provide a variety of traffic safety and economic operation services in an intelligent transportation system.

1 is a schematic diagram of an intelligent traffic management system including a distributed traffic data management module according to an embodiment of the present invention.

FIG. 2 is a block diagram of a traffic data collection device of the distributed traffic data management module of FIG. 1.

3 is a block diagram of a traffic data collection device of a distributed traffic data management module according to another embodiment of the present invention.

4 is a block diagram of another embodiment of the event recognition unit of FIG. 3.

5 is a block diagram of a traffic data collection device of a distributed traffic data management module according to another embodiment of the present invention.

6 is a signal flowchart illustrating an operation process of the distributed traffic data management module of FIG. 5.

7 is a block diagram of a traffic data management server of the distributed traffic data management module according to an embodiment of the present invention.

8 is a block diagram of a traffic data management server of a distributed traffic data management module according to another embodiment of the present invention.

9 is a signal flowchart illustrating an operation process of the distributed traffic data management module of FIG. 8.

10 is a block diagram of a real-time road map generation apparatus applied to a second embodiment of the present invention.

FIG. 11 is a block diagram of the controller of FIG. 10.

12 is a flowchart of a real-time road map generation method employable in the intelligent transportation system in the second embodiment of the present invention.

FIG. 13 is a flowchart illustrating an operation principle of a distributed traffic data management module employable in the real-time road map generation method described above with reference to FIG. 12.

FIG. 14 is a diagram illustrating a navigation screen for explaining map data output from a real-time road map generation device.

Hereinafter, exemplary embodiments will be described in detail with reference to the accompanying drawings. However, in describing the embodiments, when it is determined that detailed descriptions of related known functions or configurations may unnecessarily obscure the subject matter of the present invention, detailed descriptions thereof will be omitted. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

1. First embodiment

Referring to FIG. 1, the distributed traffic data management module 30 included in the intelligent traffic management system according to the present embodiment includes a traffic data collection device 20 and a traffic data

management server S

301 and 302. Can be. As will be described later, the distributed traffic data management module 30 according to an embodiment of the present invention may be linked with the real-time map generation device 10 according to another embodiment of the present invention.

The traffic data collection device 20 and the traffic data management server S are connected to each other via a network 6. Traffic data management server (S: 301, 302) can efficiently store and manage the traffic data through the cloud system / server (303). Hereinafter, it will be assumed that the traffic data management server S includes a plurality of traffic data management servers and cloud servers.

The network 6 refers to a wired / wireless communication network used for an intelligent transportation system as a communication infrastructure such as a wired communication network, a wireless communication network, a public telephone network, the Internet, or the like. The traffic data collecting device 20, the traffic data management server 30 and the roadside base station 4 in the embodiment of the present invention can be interconnected via a network (6).

The traffic data collecting device 20 operates in the vehicle 3 and captures the state of the road 2 on which the vehicle 3 is driving (surface freezing, etc.), and the situation of the road 2 (congestion, accident, etc.). Image data or video data of the camera 110 is stored and managed in its own storage device, and the stored image data or video data is transmitted to the traffic data management server (S). Here, the camera 110 may be integrally coupled to the traffic data collection device 20, or may be connected to the traffic data collection device 20 through a wired or wireless communication interface as a separate device.

In addition, the traffic data collection device 20 stores and manages the data received from the vehicle sensor in its own storage device, and transmits the stored data to the traffic data management server (S). The vehicle sensor may be a Global Positioning System (GPS) device, a speed sensor, an acceleration sensor, a gravity sensor, or the like, and is used to detect a vehicle position or a vehicle state of data of the vehicle sensor.

The traffic data collection device 20 described above is used as a main base of a distributed traffic data management system. To this end, the traffic data collection device 20 stores and manages the collected traffic data in its own storage device according to priority. In this case, the priority of the traffic data is determined based on the recency of the data, that is, whether the elapsed time since the collection point is the shortest or less than or equal to the preset time and the event of the image and video data. When the storage space of the traffic data collecting device 20 is insufficient due to the existing traffic data that is not transmitted from the traffic data collecting device 20 to the traffic data management server, the traffic data collecting device 20 collects new traffic data. When the low priority data is deleted, the newly collected traffic data can be stored and managed. In addition, the traffic data collection device 20 may be implemented to search for pre-stored traffic data according to an external query and transmit the search results to the outside according to the implementation.

According to the definition of the traffic data collection device, the traffic data collection device 20 may be implemented using a conventional vehicle black box device, a traffic information terminal, and the like. In addition, the traffic data collection device 20 may be implemented using a conventional camera device having a wireless communication function. In addition, the traffic data collection device 20 may be implemented using a mobile device 20A equipped with a camera carried by a vehicle occupant (driver, passenger, etc.). In this embodiment, the mobile device that can be used as the traffic data collecting device is indicated by reference numeral 20A to distinguish it from the reference code 20 of the traffic data collecting device mounted on the vehicle.

That is, the traffic data collection device 20 according to the present embodiment has a specific means to be described later or a component for performing a function corresponding to such means, and is composed of separate hardware and software mounted on the hardware. In addition, the vehicle may be implemented by mounting a predetermined program or application (distributed traffic data management application, etc.) on a vehicle black box device, a traffic information terminal, a camera device having a communication function, and a mobile device. Here, the mobile device may be a so-called smartphone, such as Apple's iPhone or iPad, Samsung's Callus series, LG's Optimus series and the like.

The traffic data management server S stores the traffic data received from the traffic data collecting device 20 in a plurality of servers including the first server 301 and the second server 302. The traffic data is data received from the traffic data collecting device 20 and may include traffic data according to a specific event occurrence and metadata about the traffic data. For example, the data format of the traffic data may be provided to include traffic data according to a specific event occurrence and metadata having time information and location information of the traffic data, and the integrity of image recording data in addition to the traffic data and metadata. It may be set to further include information (server-side random number information, its own digital signature information) and the like to ensure the security.

In the traffic data management server S, the first server 301 may be located in the first region, and the second server 302 may be located in a second region different from the first region. In addition, the first traffic data stored and managed by the first server 301 and the second traffic data stored and managed by the second server 302 may belong to the single cluster system 303, or the first traffic data. The data may belong to the first cluster system and the second traffic data may belong to a second cluster system different from the first cluster system.

In addition, the traffic data management server (S) may be implemented as a client, a metadata server and a data server to implement a distributed file system for a large cluster environment. The client may be a program or an application mounted on the traffic data collection device 20 and connected to a metadata server and a data server through a network to communicate with each other and to transmit and receive data. The metadata server stores and manages metadata of the traffic data, and the data server stores and manages traffic data related to images, videos, location information, road conditions, road conditions, and the like.

According to the present embodiment, the distributed traffic data management module stores and manages the traffic data collected from the camera 110 or the vehicle sensor operating in the vehicle 3 in the storage device of the traffic data collection device 20 according to the priority. At least part of the traffic data or metadata is transmitted to the traffic data management server (S) for storage management on the network (6). Through this, the distributed traffic data management module can efficiently utilize the traffic data in various services of the intelligent traffic system by using the traffic data distributed and managed in the traffic data collecting device 20 and the traffic data management server S. . In other words, the distributed traffic data management module retrieves and extracts spatio-temporal traffic data that can be used as evidence of traffic accidents, as well as real-time traffic information, from a server on the network or from a traffic data collection device of a vehicle. It can be used for services that provide content to the queryer.

Referring to FIG. 2, the distributed traffic data management module according to the present embodiment includes a traffic data collection device 20 connected to a traffic data management server (hereinafter, simply referred to as a server) through a network.

The traffic data collection device 20 includes a data storage unit 21, a management control unit 22, and a first communication unit 23. The traffic data collecting device 20 not only stores traffic data in its own storage device but also transmits and stores traffic data to at least one server on a network connected through the first communication unit 23.

The data storage unit 21 stores data input from the camera operating in the vehicle in the first area, and stores traffic data in which the predetermined event is recorded in the second area. Traffic data stored in the second area is space-time data for use in various services.

In other words, images or images collected by vehicles on the road generally disappear over time and are not shared with other vehicles or users. The large amount of images or images collected by vehicles on the road is spatiotemporal data, and simply transmitting these spatiotemporal data to a server requires unacceptable storage space, which significantly increases the cost of data transmission through a mobile communication network. In addition, the data collected by the vehicle is mostly useless except when certain events are recorded and do not require long-term storage. Here, the specific event may be previously defined as an accident of the own vehicle and another vehicle, a special state of the road surface such as freezing or slippery of the road, the latest image and image for a specific time period, and the like.

The data storage unit 21 determines the priority of the traffic data by using the recentness of the traffic data and whether the event includes the image data or the video data. When the traffic data collection device lacks a storage space due to a large amount of traffic data not transmitted from the traffic data collecting device 20 to the server, the data storage unit 21 first discards low-priority data and collects new data. Store one piece of data. Traffic data with high priority is transmitted to the server through mobile communication network or WLAN. The transmitted data may be deleted from the traffic data collection device.

The control unit 22 generates metadata about the traffic data. In this embodiment, the control unit 22 includes an annotation unit 221 and the authentication unit 222.

The annotation unit 221 generates metadata to include time information on which traffic data is generated, based on an event occurrence time point. In addition, the annotation unit 221 is based on location information from a positioning system mounted on a vehicle black box, a camera having a mobile communication function, or mounted on a mobile terminal of a vehicle user, or a separate positioning system connected thereto. Metadata may be generated so that the traffic data includes recorded location information.

Metadata refers to information that is followed together after traffic data to analyze and classify traffic data that is structured and stored and add additional information. The metadata may further include an identifier of the traffic data collecting device in addition to the time information and the place information. The identifier may be a device unique number such as a serial number and a MAC address.

The authentication unit 222 generates traffic data in a data format according to communication with the server and communication with the server for data integrity, nonrepudiation, and access control. The authentication unit 222 receives the traffic data or the traffic data combined with metadata from the annotation unit 221, and adds the random number information received through communication with the server before transmitting the traffic data to the server, or to the implementation Therefore, secure traffic data can be generated by adding device authentication information, encryption information, digital signature, or additional information of a combination thereof.

The first communication unit 23 transmits the metadata and / or traffic data to the server. The first communication unit 23 may be a communication module of a vehicle black box device or a traffic information terminal or a wireless communication module or communication interface of a vehicle occupant's mobile device. The first communication unit 23 may transmit the traffic data to the server periodically or intermittently at a predetermined time immediately after the event occurs or after the event occurs under the control of the controller 22.

Referring to FIG. 3, the traffic data collection device 20 according to the present embodiment includes a data storage unit 21, a control unit 22, a first communication unit 23, and an event detection unit 24. . The data storage unit 21, the control unit 22, and the first communication unit 23 may be substantially the same as the corresponding components of FIG. 2.

The event detection unit 24 is connected to the front end of the data storage unit 21 and determines whether to record an event for data from a camera or a vehicle sensor. In this case, the event detection unit 24 may determine that an event has occurred when the signal from the sensor of the vehicle is above or below a predetermined reference level, and may output the event generation signal to the data storage unit 21.

The event detection unit 24 may be an input terminal of a control device that receives a signal having a predetermined level from an external device such as a vehicle sensor. The input stage may include an analog to digital converter or a digital to digital converter. The control device may be a processor such as a microprocessor. In the above-described case, the event detector 24 may be configured to include a comparator arranged at an input of the control device to compare the signal level of the input data with a reference level.

According to the present exemplary embodiment, the traffic data collecting device 20 transmits an image or video including an event to a specific storage area according to an input signal of a vehicle sensor that detects a specific event or a user-defined input signal for inputting a specific event. It can be stored and managed separately and sent to the server periodically or intermittently.

Referring to FIG. 4, in the traffic data collection device of the distributed traffic data management module according to the present embodiment, the event detector 24 may include a sensor signal processor 241 and an image analyzer 242. have.

The sensor signal processor 241 receives a signal having a predetermined level from a sensor of the vehicle. The sensor of the vehicle may include an acceleration sensor, a yaw speed sensor (direction angular velocity sensor), an acceleration gyro sensor, a pressure sensor, and the like. The sensor signal processor 241 may analyze a signal received from a sensor of the vehicle to determine a road surface condition or a road congestion condition of the road on which the vehicle is moving, and transmit an output signal including the determined result to the data storage unit. The output signal may include information on whether an event has occurred, an event type, and the like.

The image analyzer 242 analyzes an image of a camera operating in a vehicle in real time. The image analyzer 242 may detect the occurrence of an event from the situation or state of the road on which the vehicle is driving. For example, the image analysis unit 242 determines the road binding, rockfall, road loss, local showers, fog, traffic accidents, traffic jams, etc. based on a predetermined standard through image analysis, and output signal including the determination result Can be transferred to the data store.

Meanwhile, in the present exemplary embodiment, the event detector 24 includes both the sensor signal processor 241 and the image analyzer 242, but the present invention is not limited thereto. The event detecting unit according to the exemplary embodiment of the present invention may include only one of the sensor signal processing unit 241 and the image analyzing unit 242.

Referring to FIG. 5, the traffic data collection device 20 according to the present embodiment includes a data storage unit 21, a control unit 22, a first communication unit 23, and a first query processing unit 25. do. Detailed descriptions of the data storage unit 21, the control unit 22, and the first communication unit 23 will be omitted in order to avoid duplication with the above description.

The first query processing unit 25 retrieves the traffic data stored in its own storage device in response to a query request signal received from the server or an external queryer through the first communication unit 23, and the traffic data meeting the query condition is stored. The included query response signal is transmitted to the server or queryer.

The interrogator may be embodied as a network terminal capable of sending a query request signal to an identifier of a mobile communication module of the traffic data collection device 20 or a computer device having a communication module connectable to the network. The querying person is basically implemented to transmit the query request signal to the traffic data collection device 20 through the traffic data management server, and to receive the query response signal of the traffic data collection device 20 through the traffic data management server. The present invention is not limited thereto, and according to the implementation, the interrogator may be implemented to directly transmit a query request signal to the traffic data collecting device 20 and receive a query response signal from the traffic data collecting device 20.

According to the present embodiment, the traffic data collecting device 20 may search for traffic data stored in its own storage device and provide the same to the server or the queryer in response to the query request signal of the server or a separate queryer. According to this configuration, it is possible to identify traffic conditions that occur at different times in various areas and provide traffic information such as real-time traffic control information, accident situation information, optimal movement route, etc. to vehicle drivers who exist in or enter a specific traffic situation. By providing information, it is possible to solve traffic problems by using traffic systems more efficiently or by providing appropriate transportation services.

Referring to FIG. 6, in the distributed traffic data management module according to the present embodiment, when data is input from a camera or a vehicle sensor operating in a vehicle (S61), the traffic data collection device 20 first determines image data of a camera. It is detected whether the video data is data according to an event occurrence, that is, traffic data (S62).

Here, the camera operating in the vehicle may be a camera of a vehicle black box device or a camera of a mobile device of a vehicle occupant (driver, companion, etc.). In the present embodiment, the traffic data may be image data obtained by decomposing a single frame image data or a plurality of frame video data when a specific event occurs as spatiotemporal data.

Next, the traffic data collection device 20 stores the traffic data in accordance with a predetermined priority (S63). In this case, the traffic data collection device 20 may classify the traffic data collected at the event occurrence and the collected traffic data regardless of the occurrence of the event and store them in different storage areas. The storage device may be a storage device mounted in a vehicle black box device or a traffic information terminal according to the type of the traffic data collection device 20 or a storage medium mounted in a user's mobile device.

Next, the traffic data collection device 20 generates the metadata for the traffic data (S64). The metadata may include time information and location information about traffic data.

Next, the traffic data collection device 20 transmits traffic data, metadata, or a combination thereof to the server (S65). Traffic data may be transmitted to the server within a certain period of time after the event occurs or to the server at predetermined time periods.

Next, the traffic data collection device 20 may receive a query request signal for a specific traffic data from the server 30 (S66). In this case, the traffic data collection device 20 may search traffic data stored in its own storage device based on the search keyword or metadata included in the query request signal (S67).

When the traffic data meeting the query condition is searched (S68), the traffic data collecting device 20 transmits a query response signal including the searched traffic data to the server 30 (S69). On the other hand, if the traffic data meeting the query condition is not retrieved (S68), before completing this procedure, the traffic data collecting device 20 sends a message indicating that there is no traffic data meeting the query condition through the query response signal. 30 can be sent.

Referring to FIG. 7, the distributed traffic data management module according to the present embodiment includes a traffic data management server S connected to the traffic data collection device 20 of any one of FIGS. 1 to 5 through a network. It is composed.

The traffic data management server S (hereinafter, referred to as a server) includes a second communication unit 31, an analysis unit 32, an indexing unit 33, a cluster control unit 34, a cluster file storage unit 35, and a second query. It is comprised including the processing part 36.

The second communication unit 31 receives the traffic data from the traffic data collecting device. The second communication unit 31 stores the received traffic data in the traffic data storage system. The structure of the received traffic data may have a form as shown in Table 1 below.

Table 1

For image inclusion	Vehicle identifier, time, location, image identifier, image, event
If no image	Vehicle identifier, time, location, image identifier, event

In Table 1, in the case of traffic data including an image, the image may be an image obtained by decomposing a moving image. Meanwhile, the traffic data may further include state information of the vehicle in addition to the image. In the case of traffic data that does not include an image, the traffic data may include an image identifier for the corresponding image, and may be stored and managed to access an image received later using the image identifier. The image identifier may be composed of a traffic data collecting device identifier and a unique number assigned to the image by the corresponding device.

The analysis unit 32 analyzes the traffic data. The analyzer 32 may extract the object by parsing the traffic data or may extract the object by image processing the traffic data. The analyzer 32 may include a means or a component that performs the same function as the above-described image analyzer.

The indexing unit 33 indexes traffic data at the same time when the server stores the traffic data in a storage device (traffic data storage system). The indexing unit 33 includes indexing the traffic data except for the image using a space-time indexing technique. The index constructed by the indexing unit 33 has a distributed index structure that includes all images distributed and stored in each node constituting the cluster server and images stored in the traffic data collection device without being transmitted to the server. Employing such an indexing unit 33, it is possible to quickly check and access the image is stored in any server or which traffic data collection device according to the various location and time-based query transmitted from the interrogator.

The cluster controller 34 controls the cluster data storage 35. The cluster controller 34 may be integrally mounted to the cluster data storage 35.

The cluster data storage unit 35 stably stores the traffic data in the cluster server. The cluster data storage unit 35 distributes and stores traffic data in a cluster server including a plurality of nodes. Traffic data, which is distributed and stored, can be quickly accessed through an index constructed by the indexing unit 33.

The second query processor 36 queries the traffic data collecting device for the traffic data having metadata of a specific time, a specific place, or a combination thereof at the traffic data management server and receives a query response signal from the traffic data collecting device.

In addition, the second query processor 36 retrieves the traffic data distributed in the cluster server in response to the query request signal of the interrogator received through the second communication unit, and queries the traffic data corresponding to the query condition through the query response signal. Can be sent to.

Referring to FIG. 8, the traffic data management server S (hereinafter referred to as a server) according to the present embodiment includes a second communication unit 31, an analysis unit 32, an indexing unit 33, a cluster control unit 34, The cluster file storage unit 35, the second query processing unit 36 and the authentication processing unit 37 is configured. The second communication unit 31, the analysis unit 32, the indexing unit 33, the cluster control unit 34, the cluster file storage unit 35, and the second query processing unit 36 correspond to the corresponding components of the server of FIG. 7. May be substantially the same.

The authentication processing unit 37 is to ensure the integrity of the traffic data or the image recording data from the traffic data collection device through the signal transmission and reception with the traffic data collection device when the traffic data collection device is connected to the server 30.

The authentication processing unit 37 may include a connection recognition unit for recognizing a connection of the traffic data collecting device, a unique number receiving unit for receiving a device unique number of the traffic data collecting device, a random number generating unit for generating information (for example, a random number) necessary for encryption, And a decryption unit for decrypting the encryption and data of the traffic data collecting device, a signal requesting unit for requesting the video recording data, or a combination thereof.

Referring to Figure 9, the operation of the distributed traffic data management module according to the present embodiment, when the traffic data collection device 20 is connected to the traffic data management server (S) (hereinafter, the server), traffic data collection device In operation 20, a series of procedures for integrity of the traffic data to be transmitted to the server 30 may be performed (S90).

A series of procedures S90 for integrity of traffic data (space-time data) first receives a device unique number from the traffic data collection device 20 connected to the server 30 via a network (S901 and S902). The server 30 generates encrypted information (random number) based on the device unique number and transmits the encrypted information (random number) to the traffic data collecting device 20 (S903). When receiving the encrypted data including the random number, the device unique number, the mobile identification number, and the like from the traffic data collecting device 20 (S904), the server 30 decrypts the encrypted data to collect the traffic data collecting device 20. The apparatus transmits a traffic data request signal (or a traffic data transmission permission signal) to the authenticated traffic data collection device 20 (S905). In response to the traffic data request signal from the server 30, the traffic data collection device 20 transmits the electronically signed traffic data to the server 30 (S91).

Next, when the traffic data is received from the traffic data collection apparatus 20, the server 30 analyzes the traffic data using the at least one of various existing image processing techniques for the object in the traffic data (S92). . The object analysis of the traffic data may be performed as a confirmation procedure of metadata on the traffic data or to extract additional metadata information not present in the metadata.

Meanwhile, according to an implementation, the server 30 may define the space-time relationship between the traffic data or the image using metadata included in the traffic data without processing the image included in the traffic data.

Next, the server 30 stores the traffic data on the basis of the space-time relationship of the object (image, etc.) in the traffic data (S93). The object may be an image, but is not limited thereto, and may be a landmark in an image preset in each region. The spatiotemporal relationship of objects is used as information for indexing traffic data.

Next, the server 30 groups the traffic data into a preset cluster according to the index information of the traffic data (S94). Then, the server 30 stores the cluster data of the traffic data set as a cluster in the storage space of the cluster server (S95). According to such a cluster of traffic data, the server 30 can easily store and manage large-scale spatio-temporal traffic data, thereby accessing desired traffic data quickly and accurately according to various queries.

Next, the server 30 may receive a query request signal for a specific traffic data from the queryer (S96). In this case, the server 30 may search for traffic data stored in its own storage device (traffic data storage system) based on query information such as a search keyword or image identifier included in the query request signal (S97). When the traffic data meeting the query condition is not searched (S98), the server 30 transmits a query request signal for the traffic data to the traffic data collecting apparatus 20 (S99). Then, the server 30 receives the traffic data through the query response signal from the traffic data collection device 20 (S100). Thereafter, the server 30 transmits the traffic data extracted from its own storage device or received from the traffic data collection device 20 to the interrogator (S101).

According to the present embodiment, a large amount of space-time traffic data collected from the vehicle is stored and managed in the vehicle's local storage device and the server's mass storage device, and based on the traffic accident record, road condition, road use situation, optimal travel route, etc. It is possible to provide a distributed traffic data management system based on a traffic data collection device that is useful for various services of an intelligent traffic system such as providing traffic information.

2. Second Embodiment

This second embodiment is a real-time road map generation method for generating an image road map through the spatio-temporal data query to the distributed traffic data management module in connection with the distributed traffic data management module of the first embodiment described above, and a real-time road map generation device Provides an intelligent traffic management system that employs

As shown in FIG. 1, the intelligent traffic management system according to the second embodiment of the present invention is connected to the distributed traffic data management module 30 described in the first embodiment to generate a real-time road map. The road map generating device 10 may be further included.

Specifically, the intelligent traffic system using the road map generation device 10 according to the present embodiment, the traffic data collection operation in the real-time road map generation device 10, the second vehicle 3 operating in the first vehicle And a distributed traffic data management module 30 on the device 20 and the network 6.

In this case, the network 6 refers to a wired / wireless communication network used for an intelligent transportation system as a communication infrastructure such as a wired communication network, a wireless communication network, a public telephone network, the Internet, or the like. Devices such as a roadside base station 4 and a traffic control center (communication device, computer device, network storage device, etc.) may be connected to each other via the network 6.

In particular, the real-time road map generation device 10 (hereinafter referred to as 'road map generation device') in the second embodiment is connected to the distributed traffic data management system 30 through the network 6, and the navigation of the vehicle is performed. In order to generate a map used for a device, traffic data (space-time data) including the latest image and information on traffic-related events (hereinafter, simply referred to as 'events') are distributed to the distributed traffic data management module 30. Request through and receive traffic data from the distributed traffic data management module 30 to generate a map.

Through this, according to the second embodiment, the road map generation device 10 generates an image road map including the latest image and a real-time event or a past event of a specific route of the vehicle to provide traffic safety and economic driving services. It can be utilized.

The road map generation device 10 may be implemented as an onboard device mounted on a vehicle or a device detachable from the vehicle. In addition, the road map generation device 10 may be integrally mounted to the navigation device.

The traffic data collection device 20 according to the second embodiment operates in the vehicle 3, and the state of the road 2 on which the vehicle 3 is driving (surface freezing state, etc.), the situation of the road 2 ( Effectively storing the data of the camera 110 photographing congestion, accidents, etc., and transmitting the stored data to the traffic data management system 30. The traffic data collecting device 20 may search for pre-stored data according to an external query and transmit the search result to the outside according to the implementation. Here, the camera 110 may be integrally coupled to the traffic data collection device 20, or may be connected to the traffic data collection device 20 through a wired or wireless communication interface as a separate device.

According to the traffic data collection device described above, the traffic data collection device 20 may be implemented as a vehicle black box. Alternatively, the traffic data collection device 20 may be a camera having a mobile communication function. In addition, the traffic data collection device 20 may be a portable terminal 20A of a vehicle user (driver, passenger, etc.) equipped with a camera. In this embodiment, the portable terminal that can be used as the traffic data collection device is indicated by reference numeral 20A to distinguish it from the reference code 20 of the traffic data collection device mounted on the vehicle.

As described above, the traffic data collection device 20 may be implemented not only as a black box mounted in a vehicle, but also as an application mounted in the high performance multifunctional portable terminal 20A. Here, the mobile terminal 20A refers to a smartphone, a smart pad, such as Apple's iPhone or iPad, Samsung's Callus series, LG's Optimus series, and the like. In this embodiment, the traffic data collection device 20 is used as a main base of the distributed traffic data management module 30.

As described above in the first embodiment, in the second embodiment, the distributed traffic data management module 30 distributes and stores the traffic data received from the traffic data collection device 20 in a plurality of servers in the system. Here, the traffic data is data including information such as an image, a video, a location, a road condition, an image identifier, a vehicle identifier, or a combination thereof received from the traffic data collecting device 20, and the traffic data according to a specific event occurrence and the traffic. Metadata for the data may be included, but the present invention is not limited thereto. For example, the data format of traffic data may be prepared to include traffic data according to a specific event occurrence and metadata having time information and location information of the traffic data, as well as integrity of traffic data in addition to traffic data and metadata. It can be implemented to further include information (server-side random number information, its own digital signature information) and the like to ensure the.

In addition, the traffic data management module 30 includes a first server 301 and a second server 302 which are traffic data management servers. The first server 301 may be located in the first region, and the second server 302 may be located in a second region different from the first region. In addition, the first traffic data of the first server 301 and the second traffic data of the second server 302 may belong to a single cluster 303, and the first traffic data belongs to the first cluster and the second traffic. The data may belong to a second cluster different from the first cluster.

In addition, the traffic data management module 30 in the second embodiment may be implemented as a client, a metadata server, and a data server to implement a distributed file system for a large cluster environment. The client may be connected to a separate metadata server and a data server as a program or an application mounted on the traffic data collecting device 20 to transmit and receive signals and communicate with each other. The metadata server stores and manages metadata of traffic data, and the data server stores and manages traffic data, which may be included in the distributed traffic data management system 30, but is not limited thereto.

According to the second embodiment, the traffic data collecting device 20 stores traffic data input from a camera 110 or a vehicle sensor operating in the vehicle 3 in a first area, and stores a preset event among the traffic data. The recorded traffic data may be stored in the second area to separately store and manage the latest traffic data and event related data. The traffic data and metadata may be transmitted to the distributed traffic data management system 30 and stored in a storage device on the network 6. Accordingly, the road map generation device 10 queries the distributed traffic data management module 30 described above with traffic data related to a specific route of the user and generates a map using the traffic data received as a result of the query, thereby providing intelligent traffic. Traffic data contents reflecting the latest images and events can be actively utilized in various services of the system. In addition, by storing and distributing the image or video (space-time data) of the traffic data on a server or a plurality of traffic data collection devices on the network, it can be used for various traffic-related services such as real-time traffic information as well as evidence of traffic accidents. .

1 and 10, the real-time road map generation apparatus 10 according to the present embodiment includes a GPS unit 11, an inquiry unit 12, a communication unit 13, and a control unit 14. . The road map generation device 10 may further include a storage 15 and an input / output unit 16.

The GPS unit 11 calculates the position and speed of the device from a positioning signal of a global positioning system (GPS) or a mobile communication system.

The query unit 12 requests the distributed traffic data management system for map data update information including the latest image of the specific route and real-time event information based on the location information of the GPS unit 11. When generating map data updater information, the query unit 12 may extract and use location information on a moving path between a starting point and a destination input to the navigation device. The query unit 12 may be a partial function unit or component unit of the control unit 14.

At the request of the query unit 12, the distributed traffic data management module 30 obtains the traffic data corresponding to the map data updater information from the traffic data management server or the traffic data collecting device based on the index information corresponding to the location information. A query response signal including the obtained traffic data may be generated and transmitted to the communication unit. Here, the index information is a first index of the first traffic data of the traffic data connected to the traffic data management server and distributed in each node constituting the cluster server, and the second of the traffic data distributed and stored in the traffic data collecting device. It may include a distributed index structure having a second index for traffic data.

In addition, the data format of the traffic data applied to the second embodiment includes a time, a location, an image identifier, an event, and further includes an image, a vehicle identifier, a device identifier of the traffic data collecting device, or a combination thereof. Can be. Here, the image identifier may include a first identifier for the first image of the image data included in the traffic data or a second identifier for the second image obtained by decomposing moving image data included in the traffic data.

The communication unit 13 receives a query response signal for the map data update information from the distributed traffic data management module 30. The communication unit 13 may access the distributed traffic data module by a wireless communication method. The communication unit 13 may be implemented as at least one communication module for wireless communication, a vehicle-to-vehicle communication, and a WAVE communication, which communicates with a WAVE (Wireless Access in Vehiclar Equipment) communication base station.

The controller 14 reflects the latest image and real-time event information on a specific path included in the query response signal to the map data of the navigation device. In addition, the controller 14 manages the location information of the GPS unit, manages a route (moving path) through interworking with the navigation device, and controls the operations of the query unit 12 and the communication unit 13. The controller 14 may be implemented as a processor such as a microprocessor that executes a program stored in the storage unit 15.

The storage unit 15 may include location information, route information, map data, query information, distributed traffic data management system information, user information, user setting information, and the like. In addition, the storage unit 15 may store traffic data received from the distributed traffic data management system. The storage unit 15 refers to an apparatus for temporarily or permanently storing data under the control of the controller. The storage unit 15 may include a memory such as a RAM or a ROM, and an auxiliary storage device such as a hard disk or a flash memory.

The input / output unit 16 includes an input unit and an output unit. The input and output can be installed as independent devices or as a single device. The input unit may include a keyboard, a mouse, a touch panel, a microphone, and the like, and the output unit may include a display device, a speaker, a vibration sensor, and the like.

FIG. 11 is a block diagram of the controller of FIG. 10.

Referring to FIG. 11, the controller 14 of the road map generating apparatus according to the second embodiment may include a location information management module 141, a path management module 142, a query module 143, and a map data generation module ( 144). The control unit 14 may further include an authentication unit (not shown) for integrity, nonrepudiation, and access control of signals transmitted and received with the distributed traffic data management system.

In more detail, in the present embodiment, the controller 14 may use various operating systems (OS) for the operation of the controller. The OS provides a high level command to an application program interface (API) to control the operation of each application module 141 to 144. That is, the control unit 14 identifies each application module according to the high level command provided from the API, decodes the high level command, and provides the high level command to the application module control unit (not shown) that controls the corresponding module. A high level command processor (not shown) may be provided. The application module controller controls the operation of each application module according to the command received from the high level command processor. The high level instruction processor recognizes whether there is an application module corresponding to the high level instruction received through the API. If the application module exists, the high level instruction processor decodes the instruction to be recognized by the application module to map the application module controller. You can send to the department.

In the above-described case, the application module controller may include respective mapping units and interface units for controlling the location information management module 141, the path management module 142, the query module 143, and the map data generation module 144. Can be. For example, the location information management module mapping unit receives a high level command from the high level command processing unit for the control unit to communicate with the GPS unit, and maps the device level to a device level that can be processed by the location information management module 141. This may be transferred to the location information management module 141 through the location information management module interface.

The location information management module 141 manages the positioning signal received from the GPS unit. The positioning signal may include location information (latitude, longitude, etc.). In addition, the location information management module 141 may be implemented to convert the location signal to the location information by interlocking the location signal with a separate location signal conversion device.

The path management module 142 manages path information received from the navigation device. The route management module 142 may store and manage a current location (first location information) and a future location (second location information) on the route of the vehicle or road map generating device obtained based on the route information.

The query module 143 generates a query request signal based on the query information obtained through the input / output unit (see 16 of FIG. 10). The query request signal generated by the query module 143 includes map data updater information for updating (or updater request) the map data of the navigation device and is transmitted to the distributed traffic data management system through the communication unit.

The map data generation module 144 extracts traffic data from the query response signal received from the communication unit in response to the query request signal and outputs the reflected traffic data in the map data. The output map data may include the latest image on a specific route and a real time event or a past event related to the specific route.

The method for generating a real-time road map according to the second embodiment of the present invention is based on the location information of a GPS unit that calculates the location and speed of a device from a positioning signal of a global positioning system (GPS) or a mobile communication system. Requesting the distributed traffic data management system for map data update information including the latest image and real-time event information, receiving a query response signal for the map data update information from the distributed traffic data management system, and the query response And reflecting the latest image and real-time event information on the specific path included in the signal to the map data of the navigation unit.

Specifically, the operation of the components for implementing the above-described real-time road map generation method will be described with reference to FIG. 12.

First, the road map generating apparatus 10 according to the second embodiment first receives a positioning signal from a global positioning system (GPS) and / or a mobile communication system (S41). The positioning signal may be information indicating latitude and longitude of the device.

Next, the road map generation device 10 generates first location information by estimating the current location of the device based on the positioning signal (S42). In addition, the road map generating apparatus 10 generates at least one second location information on at least one location on the moving path based on the moving path information from the navigation device.

Next, the road map generation device 10 generates map data update information for requesting traffic data having metadata corresponding to the second location information or construction pipe relationship information (S43). The map data update information is for requesting the distributed traffic data management system 30 for traffic data including images, videos, and events related to specific location information.

Thereafter, the road map generation device 10 generates a query request signal including map data update information (S44), and transmits the generated query request signal to the distributed traffic data management system 30 (S45).

Next, the road map generation device 10 receives a query response signal from the distributed traffic data management module 30 (S46). The traffic data included in the query response signal may be obtained from the first traffic data collection device of the first vehicle on a specific route and transmitted to the communication unit through a distributed traffic data management system. The traffic data may include a vehicle identifier of the first vehicle or a device identifier of the first traffic data collecting device.

Thereafter, the road map generation device 10 reflects the latest image and event information included in the query response signal to the map data (S47). In addition, the query response signal may include video data or link information of the video data corresponding to the second location information in the map data update information.

Thereafter, the road map generator 10 outputs map data reflecting the latest image and event information (S48). The output map data may be displayed on the screen of the navigation device.

Referring to FIG. 13, the apparatus for generating road maps according to the second embodiment queries the traffic data to the distributed traffic data management module 30 and reflects the traffic data obtained as a result of the query to the map data to provide the latest data on the moving path. Various traffic safety and economic driving services can be implemented while displaying images and event information.

To this end, the distributed traffic data management module 30 retrieves the traffic data distributed and stored in the traffic data collection device 20 operating in the vehicle and the server for each region or cluster in response to a query request signal from the road map generator. And provide the result to the road map generator.

An embodiment of an operation process of the aforementioned distributed traffic data management system is described below.

First, when the traffic data collection device 20 is connected to the traffic data management system 30, a series of procedures for the integrity of traffic data to be transmitted from the traffic data collection device 20 to the traffic data management module 30 is performed. It may be started by performing (S50). The traffic data refers to data collected by a traffic data collecting device 20 connected to or provided with a camera, a sensor, or the like, which operates as a spatiotemporal data.

In a series of procedures (S50) for integrity of traffic data (spatial space data), first, the distributed traffic data management module 30 receives a device unique number from the traffic data collection device 20 connected through a network (S501, S502). The distributed traffic data management module 30 generates encrypted information (random number) based on the device unique number and transmits the encrypted traffic data management device 30 to the traffic data collection device 20 (S503). When receiving the encrypted data including the random number, the device unique number, the mobile identification number, and the like from the traffic data collecting device 20 (S504), the distributed traffic data management module 30 decrypts the encrypted data to collect the traffic data. 20, the traffic data request signal (or a traffic data transmission permission signal) may be transmitted to the certified traffic data collection device 20 (S505). According to the traffic data request signal of the distributed traffic data management module 30, the traffic data collection device 20 may transmit the electronically signed traffic data to the distributed traffic data management module 30 (S91).

Next, when the traffic data is received from the traffic data collecting device 20, the distributed traffic data management module 30 analyzes the traffic data using at least one of various existing image processing techniques (S52). Image analysis includes analyzing objects in an image or a video included in traffic data. The object analysis of the traffic data may be performed as a verification procedure for the metadata of the traffic data or to extract additional metadata information not present in the metadata.

On the other hand, the distributed traffic data management module 30 may define the spatiotemporal relationship of the object using metadata of the traffic data without performing image analysis on the traffic data according to the implementation.

Next, the distributed traffic data management module 30 indexes the traffic data based on the space-time relationship of the objects in the traffic data (S53). The object may be a moving object, but is not limited thereto and may be a landmark set in each region. The spatiotemporal relationship of objects is used as information for indexing traffic data.

Next, the distributed traffic data management module 30 groups the traffic data into a preset cluster according to the index information of the traffic data (S54). In addition, the distributed traffic data management module 30 stores a cluster file of traffic data grouped into a predetermined cluster (S55). According to such a cluster of traffic data, the distributed traffic data management module 30 can easily store and manage large-scale spatio-temporal data (traffic data), thereby quickly and accurately according to various types of traffic data queries. You can search and extract the traffic data you want and provide it to the queryer.

Next, the distributed traffic data management module 30 may receive a query request signal for specific traffic data from an external queryer (S56). Here, the query includes a real-time road map generation device. When receiving the query request signal, the distributed traffic data management module 30 may search the traffic data stored in its own storage device based on the search keyword or metadata included in the query request signal (S57). If the traffic data meeting the query condition is not searched (S58), the distributed traffic data management module 30 transmits a query request signal for the traffic data to the traffic data collection device 20 (S59). Then, the distributed traffic data management module 30 may receive a query response signal including traffic data from the traffic data collection device 20 (S60). Thereafter, the distributed traffic data management module 30 may transmit the traffic data retrieved from its own storage device or received from the traffic data collection device 20 to the interrogator through a query response signal (S61).

According to the present embodiment, a large amount of spatiotemporal data collected from a plurality of vehicles is stored and managed in a local storage device of a vehicle and a mass storage device of a server, and based on this, a traffic accident record is generated according to a query or a request of a real-time road map generation device. Traffic data necessary for traffic information service such as road, road condition, road usage status, optimal travel route, etc. are provided to the real-time road map generating device, and the real-time road map generating device uses map data suitable for intelligent transportation system Can service.

As illustrated in FIG. 14, the road map generating apparatus according to the second embodiment may display a map including a latest image on a specific route and a real time event or a past event related to the specific route on a screen of the navigation device.

For example, when a specific route (first route) from the current location to the destination is set to travel via Dokdo road in the navigation device of the vehicle V, the real-time road map connected to the navigation device is generated. The device queries the distributed traffic data management system with the traffic data associated with the current location and the first route, and receives the query result from the distributed traffic data management system. At this time, if 20km around Dokdo is congested at a speed of 20km / h due to an accident on Dokdo, the real-time road map generating device reflects the information of traffic data and passes another route through Sejong-ro with good traffic flow. 2 routes) to guide the vehicle route.

In addition, the real-time road map generation device may provide an accident-related image or video on the screen of the navigation device based on the image, video or event information included in the traffic data. In this case, the traffic data may be implemented to include an address (Uniform Resource Locator, URL) on which the image or video data is located instead of directly including the image or video data in order to reduce the burden (traffic) of the network of the device. .

As described above, the present invention has been described based on the embodiments, which are merely exemplary and are not intended to limit the present invention, and those skilled in the art to which the present invention pertains do not depart from the essential technical details of the present embodiment. It will be appreciated that various combinations or modifications and applications not illustrated in the embodiments are possible. Therefore, technical matters related to modifications and applications easily derivable from embodiments of the present invention should be interpreted as being included in the present invention.

Claims

A traffic data collection device configured to collect traffic information including a state of a road being driven and a traffic situation of the road being operated by a vehicle; and

And a traffic data management server for storing traffic data according to a specific event occurrence and a traffic data management server for storing information including metadata about the traffic data.

The traffic data collection device,

A data storage unit for storing the collected traffic data according to the importance including the time at which the traffic data was collected, the importance level of a preset event, or a combination thereof;

An annotation unit for managing the metadata of the image data and video data of the traffic data; And

A first communication unit for transmitting the traffic data, the metadata, or both to the traffic data management server;

Intelligent traffic management system comprising a.
The method according to claim 1,

The traffic data collection device,

For the integrity, non-repudiation, access control of the traffic data,

An authentication unit generating a transmission signal including the traffic data in a predetermined data format according to communication with the traffic data management server;

Intelligent traffic management system further comprising.
The method according to claim 2,

The data format is

Include time, location, image identifier, event,

Further comprising an image, vehicle identifier, traffic data collection device identifier, or a combination thereof,

The image identifier includes a first identifier for the image or a second identifier for the image obtained by decomposing the video data.

Intelligent traffic management system.
The method according to claim 1,

The traffic data collection device,

An event detection unit analyzing the traffic data collected by the data storage unit to determine whether an event occurs;

Intelligent traffic management system further comprising.
The method according to claim 4,

The event detection unit,

An input terminal or sensor signal processor configured to receive a signal having a predetermined level from the sensor of the vehicle and detect whether the event occurs according to the level of the received signal;

Intelligent traffic management system comprising a.
The method according to claim 4,

The event detection unit,

Including an image analysis unit for analyzing the image or video of the camera operating in the vehicle in real time,

The image analysis unit is an intelligent traffic management system for estimating the occurrence of the event through the analysis of the image or video including the road conditions, road conditions, vehicle conditions or a combination thereof.
The method according to claim 1,

The traffic data collection device,

A first query for retrieving the traffic data in response to a query request signal received from the traffic data management server through the first communication unit and transmitting traffic data meeting the query condition to the traffic data management server through a query response signal; Processing unit;

Intelligent traffic management system further comprising.
The method according to claim 1,

The traffic data management server,

A second communication unit configured to receive traffic data from the traffic data collection device;

An indexing unit for constructing index information by indexing a spatiotemporal relationship between images in the traffic data based on metadata included in the traffic data; And

A cluster data storage unit configured to distribute and store the traffic data and index information of the traffic data in a cluster server;

Intelligent traffic management system comprising a.
The method according to claim 8,

Index information constructed by the indexing unit is a first index for the first image distributed and stored in each node constituting the cluster server,

Intelligent traffic management system comprising a distributed index structure having a second index for the second image stored in the traffic data collection device.
The method according to claim 8,

The traffic data management server,

Query specific traffic data to the traffic data collecting device based on the query information including the identifier of the vehicle identifier or the traffic data collecting device, time, location, image identifier, event, or a combination thereof, and a query response signal from the traffic data collecting device. Receiving a second query processing unit;

Intelligent traffic management system further comprising.
The method according to any one of claims 1 to 7,

A road map generation device connected to the distributed traffic data management module to generate a real-time road map;

Intelligent traffic management system further comprising.
The method according to claim 11,

The road guidance growth value,

A GPS unit for calculating a position and a speed of a device from a positioning signal of a global positioning system (GPS) or a mobile communication system;

An inquiry unit requesting the distributed traffic data management system for map data update information including the latest image of a specific route and real-time event information based on the location information of the GPS unit;

A communication unit for receiving a query response signal for the map data update information from the distributed traffic data management system; And

A controller for reflecting the latest image and real-time event information on the specific route included in the query response signal in the map data of the navigation;

Intelligent traffic management system comprising a.
The method according to claim 12,

The distributed traffic data management module according to the request of the query unit

From the traffic data management server or the traffic data collection device based on the index information corresponding to the location information

Obtaining traffic data corresponding to the map data updater information

Intelligent traffic management system for generating the query response signal including the obtained traffic data to transmit to the communication unit.
The method according to claim 13,

The index information,

A first index of the first traffic data among the traffic data connected to the traffic data management server and distributed to each node constituting the cluster server, and a second traffic of the traffic data distributed and stored in the traffic data collection device; Intelligent traffic management system comprising a distributed index structure having a second index on the data.
The method according to claim 13,

The method according to claim 2,

The traffic data is obtained from the first traffic data collection device of the first vehicle on the specific route and is transmitted to the communication unit through the distributed traffic data management system.
The method according to claim 15,

The traffic data includes the vehicle identifier of the first vehicle or the device identifier of the first traffic data collection device.