KR20120029211A - System for collecting of traffic information, revision device of valid sampling and method for measurement of each average velocity of group, and recording medium thereof - Google Patents

Abstract

PURPOSE: A traffic information collecting system which uses a mobile communication network, a valid sample correction apparatus thereof, an average speed calculation method for each group, and a recording medium for the same are provided to generate traffic information by calculating average speed for each group, thereby respectively providing the traffic information selected for an adjacent road section or a plurality of lanes of the road section. CONSTITUTION: A traffic information collecting server calculates transition speed in a road section. The traffic information collecting server calculates an average value of the transition speed(S105). The traffic information collecting server calculates a standard deviation of a portable terminal(S107). The portable terminal belongs to a sample information table. The calculated standard deviation is greater than or equal to a critical value(S109). The portable terminal belonged to the sample information table is separated into a plurality of groups(S113). The traffic information collecting server calculates average velocity for each group(S115).

Description

Traffic information collection system using mobile communication network, effective sample correction device and average speed calculation method for each group, recording medium {System for collecting of traffic information, revision device of valid sampling and method for measurement of each average velocity of group, and recording medium obvious}

The present invention relates to a method for calculating an average speed, in particular a traffic information collection system using a mobile communication network for calculating the average speed of a sample for collecting traffic information using a mobile communication network, the effective sample correction device and the average speed for each group It relates to a method of calculation, and a recording medium therefor.

In general, the car navigation system (CNS) is provided with location information from the current location of the vehicle and combined with geographic information based on the route guidance, traffic guidance, surrounding information and additional information. It combines the Global Positioning System (GPS) technology with the Geographic Information System (GIS), which is a cutting-edge technology that provides a variety of services to teach drivers directions through the display screen and voice. It is already commercialized and used for smooth land transportation and operation such as transportation system, delivery truck and quick service.

In addition, a mobile device, such as a personal digital assistant (PDA), is equipped with a GPS to show its location along with a map and provide information on nearby traffic, shopping, restaurants, etc. GPS technology is being applied.

In addition, the vehicle is equipped with a telematics device, which is a compound word combining telecommunication and informatics, which combines wireless mobile communication, GPS technology, geographic information system (GIS), and call center technology. It is developing the concept of mobile office by combining real-time traffic and living information with emergency driver, remote vehicle diagnosis, vehicle accident, anti-theft, driving route, and combining in-car control, audio system, and display.

However, in order to receive the above service, there is a problem that can be provided only by installing an expensive telematics device for supporting wireless mobile communication, GPS technology, and Geographic Information System (GIS).

Therefore, in order to provide real-time traffic and living information and driving directions by using a mobile phone (portable terminal) that most drivers currently possess, GPS is mounted on the hands-free to determine the location of the vehicle and then access the Internet through the mobile phone. The same information can be provided.

On the other hand, in order to provide traffic information and road guidance service, road construction or information providers are closed because traffic information can be provided only when the traffic situation is identified and databased in the service center in real time. How to install Closed Circuit Television (CCTV) on major roads, how to collect by traffic operators, how to collect by loop detectors on roads, how to collect using beacons, etc. The information collected by using the service is purchased.

However, in order to collect traffic information by the above-mentioned method, it is necessary to operate a collection vehicle to collect traffic information by itself, and to invest in collecting traffic information because it requires a huge budget to purchase traffic information from an information provider. In addition to excessive costs, it is difficult to continuously measure, which does not reflect the rapidly changing traffic information in real time.

The present invention has been proposed to solve the above-mentioned problems, traffic information collection system using a mobile communication network to calculate the average speed for each group by separating the samples into groups to collect traffic information using a mobile communication network, The purpose of the present invention is to provide an effective sample correction apparatus and a method of calculating average speed for each group, and a recording medium therefor.

Traffic information collection system using a mobile communication network of the present invention for achieving the above object, the CDR file from a mobile communication network, a mobile communication network for transmitting a call data record (CDR) file or a handoff record file of the portable terminal; When the handoff record file is received, the mobile terminal belonging to the file checks the location of the mobile terminal connected to the road base station in the vicinity of the road section from which the traffic information is to be collected, and is located at any one of the base stations that manage a part of the road section. Valid sampling means for registering the mobile terminal to be registered or the mobile terminal moving to the road section in the sample information table, the mobile terminal registered in the sample information table periodically checks the location information through the mobile communication network and registers in the sample information table To a road section of each mobile terminal belonging to a tracking means and a sample information table In this case, the moving speed is calculated to calculate an average value, and a standard deviation of the speeds of the mobile terminals belonging to the sample information table is calculated. Effective sample correction means for dividing into groups to calculate the average speed for each group, and a virtual machine service means for providing traffic information of the road section by using the average value of the extracted mobile terminal.

Effective sample correction apparatus of the present invention for achieving the above object, the transmission and reception unit for transmitting and receiving data, the speed measurement setting information, the storage unit for storing the road base station information and the road section information and each of the portable terminal belonging to the sample information table The average value is calculated by calculating the moving speed in the road section to collect traffic information, and the standard deviation of the speed of the mobile terminal belonging to the sample information table is calculated. And a controller for dividing the portable terminals belonging to the table into a plurality of groups and calculating the average speed for each group.

In the effective sample correcting apparatus of the present invention, the controller extracts a predetermined number of mobile terminals belonging to the sample information table in order of increasing or smallest speed, divides them into a plurality of groups, and calculates an average speed for each group. It is characterized by.

In the effective sample correcting apparatus of the present invention, the control unit analyzes the moving speed of the portable terminal, performs distribution adaptation, and separates into a plurality of groups to calculate an average speed for each group.

In the effective sample correcting apparatus of the present invention, the control unit extracts the portable terminal having the smallest value of the calculated moving speed, deletes it from the sample information table, and calculates a standard deviation.

In the effective sample correcting apparatus of the present invention, the controller extracts a mobile terminal whose calculated moving speed is different from the average speed of the mobile terminal belonging to the sample information table by more than a preset threshold value and then deletes the mobile terminal from the sample information table. It is characterized by calculating the deviation.

In the effective sample correcting apparatus of the present invention, the controller is configured to calculate a moving speed in the road section by extracting the mobile terminal located in the adjacent area of the road section.

In the effective sample correcting apparatus of the present invention, the controller extracts and deletes the portable terminal whose number of times of location checking from the adjacent region of the road section is equal to or larger than a preset threshold value and deletes the sample from the sample information table.

In the effective sample correcting apparatus of the present invention, the controller is configured to delete the portable terminal registered in the sample information table after generating traffic information using the average speed of the road section.

Means for calculating the average speed for each group of the present invention for achieving the above object, the traffic information collection server calculates the average speed by calculating the moving speed in the road section to collect traffic information of each mobile terminal belonging to the sample information table In the calculating step, the traffic information collecting server calculates the standard deviation of the speed of the mobile terminal belonging to the sample information table, and if the calculated standard deviation is greater than or equal to a preset threshold, the mobile terminal belonging to the sample information table is plural. Separation step of separating into groups and traffic information collection server includes an average speed calculation step of calculating the average speed for each group.

In the method of calculating the average speed for each group of the present invention, the separating step may be performed by the traffic information collecting server extracting a predetermined number of mobile terminals belonging to the sample information table in order of increasing speed or decreasing speed, and separating them into a plurality of groups. It features.

In the method for calculating the average speed for each group of the present invention, the separating step is characterized in that the traffic information collecting server analyzes the moving speed of the portable terminal, performs distribution adaptation, and separates the data into a plurality of groups.

The method for calculating the average speed for each group of the present invention further includes, after the calculating step, a sample deleting step of extracting a mobile terminal having the smallest moving speed value calculated by the traffic information collecting server and deleting the sample from the sample information table. It features.

In the method of calculating the average speed for each group of the present invention, after the calculating step, a mobile terminal having a moving speed calculated by the traffic information collecting server is different from the average speed of the mobile terminal belonging to the sample information table by more than a preset threshold value and And removing the sample from the sample information table.

In the method of calculating the average speed for each group of the present invention, the calculating step may include a traffic information collecting server extracting a mobile terminal located in an adjacent area of the road section to calculate a moving speed in the road section.

In the method for calculating the average speed for each group of the present invention, after the calculating step, the traffic information collecting server extracts a mobile terminal whose number of times of location checking in an adjacent area of the road section is greater than or equal to a preset threshold and deletes the sample from the sample information table. Characterized in that it further comprises a deletion step.

The present invention also provides a computer-readable recording medium having recorded thereon a program for implementing the above-described method for calculating the average speed for each group.

According to the present invention, when generating traffic information using a mobile communication network, the sample is divided into a plurality of groups, the average speed is calculated for each group, and the traffic information is generated, thereby distinguishing the good quality distinguished by a plurality of lanes of adjacent road sections or road sections. Traffic information can be provided.

1 is a block diagram of a traffic information collection system using a mobile communication network to which the present invention is applied.
2 is a block diagram showing a valid sample correction module in a traffic information collection system using a mobile communication network according to the present invention.
3 is a diagram illustrating a speed measurement process in a traffic information collection system using a mobile communication network according to an embodiment of the present invention.
4 is a diagram illustrating a fitting distribution of velocity data of a mobile terminal according to an embodiment of the present invention.
5 is a flowchart illustrating a method of calculating an average speed for each group in a traffic information collection system using a mobile communication network according to an embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. However, in describing in detail the operating principle of the preferred embodiment of the present invention, if it is determined that the detailed description of the related known functions or configurations may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted. In addition, the same reference numerals are used for parts having similar functions and functions throughout the drawings.

In the present specification, when one component 'transmits' data or a signal to another component, it may directly transmit data or a signal, and may transmit data or a signal through at least one other component. it means.

The basic concept of the traffic information collection system according to the present invention is to extract the identification number (MIN) of the subscriber terminal passing through the highway or the general road, the handoff information of the subscriber and the location registration information of the terminal, the terminal It is a service that extracts a base station transit time of a mobile terminal based on paging request information and collects (generates) traffic information based on a coverage length of a base station service.

Here, a valid sample must exist to generate traffic information. A valid sample is a sample that moves a desired section to know the desired section and the sample arrival time of the sections in order to generate traffic information.

1 is a block diagram of a traffic information collection system using a mobile communication network to which the present invention is applied. Referring to FIG. 1, the traffic information collection system of the present invention is installed in a toll gate and a highway of a highway, a vehicle on a general road, or a portable terminal 10 carried by a passenger, and a plurality of base stations 20 communicating through an air interface section. ), A mobile switching center (MSC) 30 interworking with a plurality of base stations 20 to perform an exchange function for the terminal, and a mobile identification number of the mobile terminal 10 interworking with the switch 30 : Location-based service by checking the location information of the mobile terminal 10 in conjunction with the home location register (HLR) 40, the home location register (HLR) 40, the subscriber information and location information is stored, etc. Location Based Service (LBS) server to provide a request for location information registration according to the terminal identification number (MIN) through the server 45, the home location register (40), handoff (Handoff) and paging request (Paging Request) And a traffic information collection server 50 for extracting a base station passing time of the mobile terminal 10 received through the home location register 40 and collecting traffic information using the base station service coverage length as a distance.

At this time, the traffic information collection server 50 is a call data record (CDR) valid sample extraction module 60, MODAS valid sample extraction module 70, tracking (80), valid sample correction module 90 and It includes a virtual machine (VM) service module 100.

The above-described module may be implemented in software or implemented as a device to be included in the traffic information collection server 50, or may be implemented as a device independent of the traffic information collection server 50.

The CDR valid sample extraction module 60 interoperates with IP Mediation Device (IPMD) and Telephony & IP Integration System (TIIS) to determine whether the base station information exists and moves by road using base station information of a terminal identification number (MIN). This module extracts valid samples. Here, the IPMD is a device that receives the CDR information from the switch 30, and the TIIS is a system supporting the provision of a service in which the Internet is grafted to the Telephony Network.

Specifically, the CDR valid sample extraction module 60 performs the "CHKCDR", "CSEND", "CRECV", "Q Manager", "CSEND" and "CRECV" and "TICS" which periodically deletes CDR files older than 15 minutes. "TICS" which collects traffic information using CDR file, home location register 40, etc. to provide Real-Time Traffic Information (MQ) (Message Queue) for transmission and reception for data transmission and reception between It includes. Other CDR files (CDR file; source information, destination information, calling terminal information, called terminal number, final base station information), CDR configuration information (CDR Config Info; road ID, MSCID, sample number, valid samples, CDR Access Period, LBS linkages per second), Road File Info, CDR Position Info, CDR BTS Info, Road BTS Info (Road ID, MSC ID, BSC ID, BTS ID), Location Information ( HLR Position Info; Road ID, Mobile Phone Number, Base Station Order, Input Time, Drop Information), Tracking Database (TRK Position Info; Road ID, Mobile Phone Number, Base Station Order, Input Time, Drop Information) It is.

Looking at the process of extracting valid CDR, first of all, the CDR files charged by IPMD are delivered to 3 or 5 minutes of CDR files to TIIS directory. Then, " CSEND " inquires sampling base station and Config information from Road File Info, and reads a terminal Mobile Identification Number (MIN) corresponding to a condition from a CDR file. Subsequently, a sample identification number (Serial) is obtained from the "Q manager", stored in the CDR location information, and then the home location register 40 is requested to search the location of the sample. "CRECV" checks the presence and movement of Road BTS Info using the base station information of the sample returned from TIIS, and if the mobile station is not located on the corresponding road section, the corresponding mobile terminal in the CDR location information. Delete (10) as a sample. Finally, the "CRECV" registers the sample in the position information (HLR Position Info) and the tracking information (TRK Position Info) to complete the CDR valid sample extraction process.

MODAS valid sample extraction module 70 is a module for interlocking with the Mobile Density Administration System (MODAS) and TIIS, extracts a valid sample moving to the road based on the location query request information from the home location register (HLR) (40) . Here, the MODAS is a system for managing the distribution of the portable terminal 10 and registers it in the exchange 30 when a hand off occurs.

Specifically, the MODAS valid sample extraction module 70 is composed of "MGET", "MSEND", "MRECV", "Q Manager", CSEND, and "MQ" and "TICS" for data transmission and reception between CRECV and TICS do. MODAS File Info, MODAS Position Info (road ID, MSC ID, BSC ID, BTS ID), MSC Mapping Info (sample count, number of valid samples, Switch ID) ), Road base station information (Road BTS Info; road ID, MSC ID, BSC ID, BTS ID), location information (HLR Position Info; road ID, mobile phone number, base station order, input time, drop information), tracking information ( A database is provided with TRK Position Info (road ID, mobile phone number, base station order, input time, Drop information).

In the process of extracting valid samples of MODAS, MODAS first delivers files to a specific directory every 10 minutes. Then, the MODAS file is obtained through the Ftp every 10 minutes in the traffic information collection server 50. After that, the sampling base station and environment information are queried from MODAS File Info in "MGET", the identification number of the sample corresponding to the condition is read, and then the MODAS Position Info is read. Save it. "MSEND" inquires a sample of MODAS Position Info, obtains a sample identification number (Serial) from "Q manager", saves it in CDR position information, and stores the position inquiry of the sample in the home location register. Ask 40. Subsequently, "MRECV" receives the sample requested for location lookup, determines whether the road BTS Info is moved to the corresponding road, and then checks the location information (HLR Position Info) and tracking for the sample moving to the road. The MODAS valid sample extraction process is completed by storing the information in TRK Position Info.

On the other hand, the position information (HLR Position Info) and tracking information (TRK Position Info) may be generated through the valid sample extraction process of at least one module of the CDR valid sample extraction module 60 and MODAS valid sample extraction module 70. It can be created by using both modules together.

The tracking module 80 is a module that interworks with TIIS and registers location information of a terminal inquired from the LBS server 45 for tracking in the corresponding location information and sample information table.

Specifically, the tracking module 80 includes "TSEND", "TRECV", "TSEND", and "Transmission / reception MQ" and "TICS" for transmission and reception for data transmission and reception between "TRECV" and "TICS". . Other CDR Position Info (CDR Position Info; Road ID, MSC ID, BSC ID, BTS ID), LBS Config Info (LBS IP, LBS Port, LBS Interlock Period, Min Delete Cycle, Transmission Interval Time, etc. Seat interval transmission interval adjustment number, transmission time), tracking information (TRK Position Info), road base station information (Road BTS Info; road ID, MSC ID, BSC ID, BTS ID), location information (HLR Position Info; road ID, A database having a mobile phone number, base station order, input time, and drop information) is constructed.

Looking at the tracking process, "TSEND" first queries LBS configuration information (LBS Config Info) for tracking, and then retrieves a sample for position search from tracking information (TRK Position Info) (Drop_Info (Y)). Check whether the inquired sample has passed a predetermined time (30 second sending interval, interval repetition frequency, etc.), and requests the home location register 40 to query the location information for the sample. "TRECV" checks the presence and movement of Road BTS Info using the base station information of the sample returned from TIIS. Finally, the tracking process is completed by registering the sample in the position information (HLR Position Info) and then registering the use of the sample in the tracking information (TRK Position Info) (Drop_Info (Y)).

The effective sample correction module 90 performs the function of measuring the speed for each road and section according to the speed measurement cycle based on the inquired position information, and further corrects and resets the valid sample according to the measured speed of the effective sample. Module. The effective sample correction module 90 is described in detail below.

The virtual machine (VM) service module 90 is a module that embeds predefined section information and road information, and locates a user terminal using base station information to provide a route and a speed to a destination through the user terminal.

Specifically, the virtual machine (VM) service module 100 is interworked with the LBS, other base station information (BTS Info), road section information (ROAD Sec Info), road base station information (Road BTS Info), road detail section information (ROAD Sub Sec Info; section ID, location information, destination) and a database including road speed information (ROAD Speed Info) are constructed. At this time, as a virtual machine service, the communication status view and the route preview of each section are provided through the terminal screen.

Looking at the process of the virtual machine service, the wizard embeds the predefined section information and road information (menu file). Then, the section information or the destination IC is selected from the menu file embedded in the wizard and transmitted to the server, and the location information for finding my route uses the base station information. Using the information received from the wizard, the speed of each section is inquired from the table and transmitted to the wizard, and then the user's location is identified using the base station information to provide the route and speed to the destination.

2 is a block diagram showing a valid sample correction module 90 in a traffic information collection system using a mobile communication network according to the present invention. 1 and 2, the effective sample correction module 90 includes a transceiver 91, a storage 93, and a controller 95.

Transmitting and receiving unit 91 is a data call (CDR) valid sample extraction module 60, MODAS valid sample extraction module 70, tracking (Tracking) module 80 and virtual machine (VM) service module 100 and data It has an interface for sending and receiving.

The storage unit 93 includes speed measurement configuration information (Speed Config Info), road base station information (Road BTS Info; road ID, section ID, base station ID, section distance, speed measurement period), road section information (Road Sec Info; road ID, section ID, average speed, correction speed, number of valid samples, speed measurement time, reason for correction). At this time, the position information (HLR Position Info; road ID, mobile phone number, base station order, input time, Drop information) can be received and stored as input information, and generated road speed information (Road Sec Speed Info; road name, section) Name, average speed, number of valid samples, corrected speed, number of valid valid samples, reason for calibration, speed measurement time) and road speed information.

The controller 95 controls overall operations of the transceiver 91 and the storage 93.

Referring to the speed measurement process, the controller 95 first queries speed measurement configuration information (Speed Config Info) for measuring the speed for each section. Thereafter, the road base station information (Road BTS Info) and the road section information (Road Sec Info) for speed measurement by section for each road are inquired, and the sample corresponding to the section for each road in the location information (HLR Position Info) is inquired ( Drop_Info ('O', 'S') Measures the speed using the speed measurement algorithm for each section of the road, and then measures the speed for each section according to the speed measurement cycle and saves it as Road Speed Info. And provide data to the contents provider (CP) or mobile data through the virtual machine service module 100. Finally, the speed information for each section is measured by measuring the speed for each section according to the speed measurement cycle (Road Sec). Speed Info), and the Road Sec Speed Info can be sent to a web server for administrators to use as statistics data or to search.

3 is a diagram illustrating a speed measurement process in a traffic information collection system using a mobile communication network according to an embodiment of the present invention. 4 is a diagram illustrating a fitting distribution of velocity data of a mobile terminal 10 according to an embodiment of the present invention. Referring to FIG. 2, FIG. 3 and FIG. 4, the average speed measurement process is described. The controller 95 refers to the road base station information (Road BTS Info) to refer to the road base station and the last base station of the road section to collect traffic information. Inquiry through road information (Road Sec Info). For example, in the case of interval 2 in FIG. 3, the starting base station is base station 4 and the last base station is base station 6.

The controller 95 calculates the moving speed by referring to the location information of each mobile terminal 10 in the road section where traffic information is to be collected, and uses the calculated moving speed of each mobile terminal 10 in the sample information table. The average speed in the corresponding road section of the belonging portable terminal 10 is calculated. The control unit 95 collects information necessary for calculating the speed from the call data record (CDR) valid sample extraction module 60, the MODAS valid sample extraction module 70, or the tracking module 80 through the transceiver 91. Thus, based on handoff information, location registration information, or paging request information of each mobile terminal 10, a base station transit time that governs a corresponding road section of each mobile terminal 10 and between each base station After calculating the moving speed of each portable terminal 10 using the distance, the average speed may be calculated, but the algorithm for calculating the average speed of the effective samples for each section of the road is not limited thereto.

In this case, the controller 95 may calculate the moving speed of each mobile terminal 10 in the road section by extracting the mobile terminal 10 identified in the adjacent area of the road section for which the traffic information is to be collected. Specifically, the measured distance is calculated by summing the average distance of the located area and the distance of the road section, and proceeding during the road section at the time that is located in the adjacent area of the last area of the traveling direction among the road sections to collect traffic information. The measurement time can be calculated by subtracting the identified time in the adjacent region of the first region of the direction, and the movement speed can be measured by dividing the measurement time by the measurement distance.

For example, the controller 95 obtains a measurement distance for each portable terminal 10, and the formula is as follows.

Interval Distance + ((End Base Station Adjacent Area Distance + Start Base Station Adjacent Area Distance) / 2)

For X, (4 base stations distance from 4 base stations) + ((3 base station distance + 7 base station distance) / 2) is the measurement distance,

For Y, (4 base stations to 7 base stations distance) + ((3 base station distances + 8 base station distances / 2) is the measurement distance.

In the case of measurement time, X calculates the measurement time by subtracting the location time at base station 7 and the second time location at base station 3, and Y is the time location at base station 8 and at base station 3 The measurement time is calculated by subtracting the location time.

In addition, when the number of times of location checking in an adjacent area of the road section is equal to or greater than a preset threshold value, the portable terminal 10 may be extracted and deleted from the sample information table. This is to delete the portable terminal 10 waiting at the resting place or the portable terminal 10 which is stopped for a while from the valid sample.

The controller 95 calculates a speed standard deviation of the mobile terminal 10 included in the sample information table by using the moving speed of each mobile terminal 10 and the speed average value of the mobile terminal 10 included in the sample information table. When one standard deviation is larger than a preset threshold, the portable terminal 10 belonging to the sample information table is divided into a plurality of groups, and the average speed is calculated for each group, respectively.

For example, if there is a speed deviation between a plurality of lanes, such as a road with a bus lane, the standard deviation of a bus moving the bus lane and a general vehicle moving the general lane is larger than a preset threshold. Traffic information may be collected for each lane according to the speed of the portable terminal 10. In addition, this may be applied to a road in which there is a speed deviation between both road sections, such as when a plurality of roads run in parallel.

In this case, the controller 95 may extract a predetermined number in order of increasing or decreasing speed of each mobile terminal 10, divide the mobile terminal 10 into a plurality of groups, and calculate an average speed of the mobile terminal 10 for each group. have.

In addition, the controller 95 analyzes the speed data of each mobile terminal 10 to perform a fitting distribution on the speed data of each mobile terminal 10, and then divides the data into a plurality of groups. You can calculate the average speed.

Specifically, when the entire speed data set is concentrated around a plurality of averages, the controller 95 performs a distribution fitting on the plurality of averages, divides the data into a plurality of groups, and then calculates the average speeds for each group. Will be calculated. In this case, distribution fitting may be performed using a Gaussian Mixture Model, but is not limited thereto.

For example, in the case of FIG. 4, the f distribution function has a form in which velocity data is dense around three mean points, and three distribution functions f1, f2, and f3 are linearly combined, and thus, each distribution function corresponds to each distribution function. By dividing into three groups, the average speed for each group can be calculated.

In addition, when fitting the distribution, candidate distributions include normal distribution, log-normal distribution, exponential distribution, Weibull distribution, gamma distribution, and general pareto. ) Distribution, uniform distribution, and the like, but is not limited thereto and may include other distributions.

On the other hand, when calculating the standard deviation of the mobile terminal 10 belonging to the sample information table, the controller 95 sets the smallest speed value that can have the greatest influence on the average speed among the moving speeds of the respective mobile terminals 10. The branch may be extracted from the portable terminal 10 and removed from the sample information table, and the standard deviation with respect to the speed may be calculated for the remaining samples.

In addition, the control unit 95 calculates a difference between the calculated moving speed of each mobile terminal 10 and the average speed of the mobile terminal 10 belonging to the sample information table, and the speed value is greater than or equal to a preset threshold value. The branch may be extracted from the portable terminal 10, removed from the sample information table, and the standard deviation with respect to the speed may be calculated for the remaining samples.

The controller 95 finally generates the traffic information using the average speed of the corresponding road section at a specific time, and then calculates a valid data extraction (CDR) module 60 to calculate the average speed of the corresponding road section. Data collected from the MODAS valid sample extraction module 70 or the tracking module 80 may be deleted from the storage 93. Subsequently, when generating traffic information, the controller 95 repeats the above-described process and collects necessary data to calculate the average speed in a specific road section.

5 is a flowchart illustrating a method for measuring an average speed in a traffic information collection system using a mobile communication network according to an embodiment of the present invention. 1 and 4, first, the traffic information collection server 50 refers to the road base station information (Road BTS Info), the road base station information of the road base station and the end base station to collect the traffic information road section information (Road Inquiry through Sec Info (S101).

The traffic information collection server 50 inquiring through road segment information (Road Sec Info) in step S101 inquires the sample information table and inquires the position information of the mobile terminal 10 belonging to the sample information table (S103). .

The traffic information collection server 50 inquiring the location information of the mobile terminal 10 in step S103 calculates the moving speed of each mobile terminal 10 in the road section to collect traffic information, and calculates each mobile The average speed in the corresponding road section of the mobile terminal 10 belonging to the sample information table is calculated using the moving speed of the terminal 10 (S105).

At this time, the traffic information collection server 50 may calculate the moving speed of each mobile terminal 10 in the road section by extracting the mobile terminal 10 identified in the adjacent area of the road section to collect traffic information. . That is, the measured distance is calculated by summing the average distance of the located area and the distance of the road section, and the traveling direction of the road section at the time when it is located in the adjacent area of the last area of the traveling direction among the road sections to collect traffic information. The measurement time may be calculated by subtracting the time determined by positioning the adjacent area of the first area of, and the moving speed may be measured by dividing the measurement time by the measurement distance.

In addition, when the number of times of location checking in an adjacent area of the road section is equal to or greater than a preset threshold value, the portable terminal 10 may be extracted and deleted from the sample information table.

Subsequently, the traffic information collection server 50 uses the moving speed of each mobile terminal 10 and the speed average value of the mobile terminal 10 belonging to the sample information table to determine the speed standard deviation of the mobile terminal 10 belonging to the sample information table. To calculate (S107).

At this time, the traffic information collection server 50 extracts the mobile terminal 10 having the smallest speed value among the moving speeds of the respective mobile terminals 10 or belongs to the moving speed and sample information table of each mobile terminal 10. The difference in the average speed of the mobile terminal 10 is calculated to extract the mobile terminal 10 having a speed value larger or smaller than a preset threshold value, and to delete it from the sample information table, and the standard for the speed for the remaining samples. The deviation can be calculated.

The traffic information collection server 50 that calculates the speed standard deviation of the mobile terminal 10 belonging to the sample information table in step S107 confirms that the standard deviation is greater than or equal to a preset threshold value (S109).

As a result of the determination in step S109, when the standard deviation is smaller than the preset threshold, the traffic information collecting server 50 generates the traffic information using the average speed calculated in step S105 (S111).

As a result of the determination in step S109, when the standard deviation is greater than or equal to a preset threshold, the traffic information collecting server 50 separates the mobile terminal 10 belonging to the sample information table into a plurality of groups (S113).

In this case, the traffic information collection server 50 may extract a predetermined number in order of increasing or decreasing the speed of each portable terminal 10 and divide it into a plurality of groups.

In addition, the traffic information collection server 50 analyzes the speed data of each mobile terminal 10, performs a fitting distribution on the speed data of each mobile terminal 10, and then divides the data into a plurality of groups. can do.

In step S113, the traffic information collection server 50 that divides the mobile terminal 10 belonging to the sample information table into a plurality of groups calculates an average speed for each group (S115).

The traffic information collection server 50 that calculates the average speed for each group in step S115 generates traffic information by using each average speed (S117).

Meanwhile, in the traffic information collection system using the mobile communication network according to the present embodiment, the average speed calculation method for each group may be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer-readable recording medium. The recording medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the recording medium may be those specially designed and constructed for the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. For example, the recording medium may be magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, or magnetic-optical media such as floptical disks. magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. Such hardware devices may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above and described with reference to a preferred embodiment for illustrating the technical idea of the present invention, the present invention is not limited to the configuration and operation as shown and described as such, without departing from the scope of the technical idea It will be understood by those skilled in the art that many changes and modifications to the present invention are possible. And all such modifications and changes as fall within the scope of the present invention are therefore to be regarded as being within the scope of the present invention.

According to the present invention, additional costs are minimized because no separate device is required to collect traffic information. Considering the trend of increasing number of users moving by vehicle, the average speed calculation method for each group in the traffic information collection system using the mobile communication network of the present invention will not be less useful.

10: service server 20: base station
30: exchange 40: home position register
45: location-based service server 50: traffic information collection server
60: CDR valid sample extraction module 70: MODAS valid sample extraction module
80: tracking module 90: valid sample correction module
91: transceiver 93: storage
95: control unit 100: virtual machine service device

Claims (17)

A mobile communication network for transmitting a call data record (CDR) file and a handoff record file of the portable terminal;
When the CDR file or the handoff record file is received from the mobile communication network, the location of the portable terminal connected to a road base station near a road section of a road section to which traffic information is to be collected among the mobile terminals belonging to the file is determined, and the road section Valid sample extracting means for registering a mobile terminal which is registered at any one of the base stations which manage a part of the mobile station or a mobile terminal moving to the road section in a sample information table;
Tracking means for periodically checking the location information of the mobile terminal registered in the sample information table through the mobile communication network and registering the location information in the sample information table;
The average speed is calculated by calculating a moving speed in the road section of each portable terminal belonging to the sample information table, the standard deviation of the speed of the portable terminal belonging to the sample information table is calculated, and the calculated standard deviation is preset. Effective sample correction means for dividing the portable terminals belonging to the sample information table into a plurality of groups when the threshold value is equal to or greater than a threshold value, and calculating an average speed for each group;
A virtual machine service means for providing traffic information of the road section using the extracted average value of the mobile terminal;
Traffic information collection system using a mobile communication network comprising a. Transceiver for transmitting and receiving data;
A storage unit which stores speed measurement setting information, road base station information, and road section information;
The average value is calculated by calculating a moving speed in a road section in which traffic information of each mobile terminal belonging to the sample information table is collected, and a standard deviation with respect to the speed of the mobile terminal belonging to the sample information table is calculated to calculate the average value. A controller configured to divide the mobile terminal belonging to the sample information table into a plurality of groups and calculate an average speed for each group when the deviation is greater than or equal to a preset threshold;
Effective sample correction device comprising a. 3. The apparatus of claim 2,
Effective sampling correction apparatus, characterized in that for extracting a predetermined number of the mobile terminal belonging to the sample information table in the order of increasing or smallest speed, divided into the plurality of groups, and calculating the average speed for each group. 3. The apparatus of claim 2,
And analyzing the movement speed of the mobile terminal to perform distribution fitting, and separating the plurality of groups into average groups to calculate the average speed for each group. 3. The apparatus of claim 2,
And extracting the portable terminal having the smallest value of the calculated moving speed, deleting the portable terminal from the sample information table, and calculating the standard deviation. 3. The apparatus of claim 2,
The standard deviation is calculated after extracting the mobile terminal from which the calculated moving speed differs from the average speed of the mobile terminal belonging to the sample information table by more than a predetermined threshold value and deleting the sample information table. Sample calibration device. 3. The apparatus of claim 2,
An effective sample correction device, characterized in that for extracting the mobile terminal identified in the adjacent area of the road section to calculate the moving speed in the road section. The method of claim 7, wherein the control unit,
And extracting a mobile terminal having a number of times of location confirmation from a neighboring area of the road section greater than or equal to a preset threshold value and deleting the same from the sample information table. 3. The apparatus of claim 2,
And generating traffic information using the average speed of the road section, and then deleting the portable terminal registered in the sample information table. A calculating step of calculating, by the traffic information collecting server, a moving speed in a road section to collect traffic information of each mobile terminal belonging to a sample information table and calculating an average value;
A standard deviation calculating step of calculating, by the traffic information collecting server, a standard deviation with respect to a speed of a mobile terminal belonging to the sample information table;
A separation step of dividing the mobile terminals belonging to the sample information table into a plurality of groups when the calculated standard deviation is equal to or greater than a preset threshold value;
An average speed calculating step of calculating, by the traffic information collecting server, an average speed for each group;
Method for calculating the average speed for each group, characterized in that it comprises a. The method of claim 10, wherein the separating step,
And the traffic information collecting server extracts a predetermined number of mobile terminals belonging to the sample information table in order of increasing speed or decreasing speed and divides the predetermined number into the plurality of groups. The method of claim 10, wherein the separating step,
The traffic information collecting server analyzes the moving speed of the mobile terminal to perform distribution fitting, and divides the group into the plurality of groups. The method of claim 10, wherein after the calculating step,
A sample deleting step of extracting, by the traffic information collecting server, the mobile terminal having the smallest value of the calculated moving speed from the sample information table;
Average speed calculation method for each group, characterized in that it further comprises. The method of claim 10, wherein after the calculating step,
A sample deleting step of extracting, by the traffic information collecting server, the mobile terminal having a calculated difference between the average speed of the mobile terminal belonging to the sample information table and a predetermined threshold value or more from the sample information table;
Average speed calculation method for each group, characterized in that it further comprises. The method of claim 10, wherein the calculating step,
And the traffic information collecting server extracts the mobile terminal identified in the adjacent area of the road section to calculate a moving speed in the road section. The method of claim 15, wherein after the calculating step,
A sample deleting step of extracting, by the traffic information collecting server, a portable terminal having a number of times of location checking in an adjacent area of the road section or more from a preset threshold value and deleting the sample from the sample information table;
Average speed calculation method for each group, characterized in that it further comprises. A computer-readable recording medium having recorded thereon a program for executing the method according to any one of claims 10 to 16.

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