KR20050011419A - A Method and System for caculating average speed of vehicle using DSRC and DGPS techniques in Traveler Information System - Google Patents

Abstract

PURPOSE: A method for calculating an average travelling speed of a vehicle in a traffic information system using DSRC and DGPS technology and a system thereof are provided to calculate the average travelling speed of the vehicle more accurately. CONSTITUTION: According to the system for calculating an average travelling speed of a vehicle in a traffic information system using DSRC and DGPS technology, a DGPS base station calculates error between a coordinate value measured using a GPS satellite and an actual coordinate value. A server manages a number of base stations by being connected to the base stations in real time, and calculates a speed of a vehicle moving between base stations. A road side equipment is installed to transmit and receive traffic information with a terminal. And the terminal is loaded on the vehicle to display traffic information to the driver. And a GPS receiver is loaded on the vehicle, and measures position of the vehicle on the basis of the error calculated in the DGPS base station and then transmits it to the terminal.

Description

Method and system for caculating average speed of vehicle using DSRC and DGPS techniques in Traveler Information System}

The present invention relates to a method and system for calculating a vehicle driving speed in a traffic information providing system using a DSRC, and more particularly, to a terminal equipped with a GPS receiver of a DGPS type, a base station using a DSRC communication method, and a base station. The present invention relates to a method for a server to calculate an accurate vehicle driving speed in a traffic information providing system including a server for providing traffic information based on raw traffic data collected from a terminal.

As the number of cars has rapidly increased due to the popularization of automobiles, many problems are caused by pollution and chronic and nationwide road traffic congestion. The driver does not know why the road is being blocked, how long it is blocked, or whether the bypass is available, the public transport user does not know when the bus will arrive, and the transport operator may not know the location of the truck or the time it takes to transport it. The economic losses from such traffic congestion are enormous.

Therefore, it is very necessary to introduce an Intelligent Transport System (ITS), which can expect improved transportation effects using information and communication technology that has been recently developed. ITS is a next-generation traffic system that enables drivers to drive safely, comfortably and quickly by intelligentizing the car and road environment.It combines the existing traffic system with cutting-edge technologies such as information communication, electronics, control, and computers. It is a transportation system to improve mobility, safety, efficiency and transportation environment.

In order to construct such ITS, it is necessary to introduce a system capable of collecting and efficiently distributing high-quality traffic information. To this end, Dedicated Short Range Communication (DSRC) technology has been proposed. DSRC uses Roadside Equipment (RSE), which has a communication radius of several meters to several hundred meters, and On Board Equipment (OBE) that passes through the communication area of the RSE using information and communication technology that has been developed so far. Or two-way high-speed wireless communication technology between the terminals). Here, the RSE is installed on the roadside, and transmits unique IDs of OBEs received from various OBEs to the local server, requests desired information from the local server, and transmits the information to the OBE. On the other hand, the OBE (or terminal) is mounted on the vehicle, and transmits raw data such as OBE unique ID, inter-road driving time, and accident information for the traffic information to the RSE, requests desired information from the RSE, and RSE Receives traffic information and general broadcasting information such as unique ID, driving speed between road sections, traffic accident information, and provides the user with LCD or voice.

Unlike the public wireless communication network, the DSRC technology targets a vehicle running on a road. The traffic information can be collected at a low cost through communication between a relatively simple base station system installed on a roadside and a vehicle-mounted device. It is expected to reduce traffic congestion, shorten travel time and prevent traffic accidents by providing services such as automatic toll collection, public transportation and centralized commercial vehicle management.

One of the main information provided to the vehicle driver in the DSRC communication method is the driving speed of the vehicle for each section of a particular road. This is a very useful piece of information that tells the driver if the road is flowing smoothly on some roads and if it is delayed. 1 schematically illustrates a method of calculating a traveling speed of such a vehicle using a DSRC communication method in a conventional traffic information providing system. The conventional traffic information providing system shown in FIG. 1 is composed of a traffic information central center, a regional server, a base station (RSE), a terminal (OBE), and the like. Here, the base station and the terminal have already been described above. The server is connected to a plurality of base stations in a certain area in real time, and stores and manages data about the distance between these base stations and IDs of each base station, and receives raw data about traffic information provided from the terminals through each base station. It processes the traffic information by combining them, and transmits the aggregated traffic information to the base station to deliver the collected traffic information to each terminal user. The traffic information central center is a center that integrates and manages servers in each area. It serves to provide traffic information between local servers and traffic flow management in all areas where the system is installed.

Next, a method of calculating a traveling speed of a vehicle using a conventional DSRC method will be described with reference to FIG. 1. Here, it is assumed that a probe vehicle equipped with a DSRC communication terminal has entered and entered the communication area of the base station RSE3 by sequentially driving and passing through the communication area roads of the base stations RSE1 and RSE2.

(1) First, when a probe vehicle equipped with a terminal enters a communication area of a base station RSE3 communicating with a DSRC system, the terminal receives traffic information (eg, inter-vehicle driving speed, etc.) and other services from the base station RSE3. It provides to the user, and stores the time of communication with the base station RSE3 and the unique ID of the communication base station in the terminal.

(2) Then, the terminal determines the unique ID and communication time of the base station RSE2 that was communicated immediately before the currently communicating base station RSE3, the unique ID and communication time of the base station RSE1 that was communicated before, and the unique ID of the terminal. Send to RSE3. Here, the data of the unique ID and the communication time of the base station RSE2 and the unique ID and the communication time of the base station RSE1 are stored in the terminal through the operation of step (1) when entering the communication area of the base stations RSE1 and RSE2. Value.

(3) The base station RSE3 transmits the terminal information received from the terminal and the information of the RSE1 (that is, the ID of the RSE1 and the communication time in the RSE1) and the RSE2 information (that is, the ID of the RSE2 and the communication time in the RSE2) to the server. .

(4) The server receives the information and calculates the vehicle traveling speed V between the base stations RSE1 and RSE2 based on the received information. At this time, the vehicle driving speed (V) can be calculated using the following equation.

V = D / (T2-T1)

V: vehicle driving speed between base stations RSE1 and RSE2

D: distance between base station RSE1 and RSE2

T2: Communication time at base station RSE2

T1: Communication time at base station RSE1

Here, the distance (D) between the base stations RSE1 and RSE2 is a fixed distance between each base station previously stored in the database of the server, the communication time T1 and T2 in the base station RSE1 and RSE2 is the same probe vehicle and the base station RSE1 The time when the RSE2 is sequentially entered and communicated with the base stations RSE1 and RSE2 is data received by the base station RSE3 from the terminal and transmitted to the server. At this time, whether or not the same probe vehicle can be distinguished by whether the ID of the terminal is the same.

If the traveling speed of any vehicle passing between the two base stations RSE1 and RSE2 is obtained through the steps (1) to (4), the server may provide information on the flow state of the vehicle on the road based on this data. It is possible to find the average speed of vehicles in a certain section. That is, the speeds of the vehicles passing through the two sections between the specific time intervals are respectively obtained by the method described above, and then averaged. At this time, the administrator of the server may shorten or lengthen the time interval for obtaining the average speed according to the change of the vehicle flow. For example, if the flow of the vehicle is large and the flow changes from time to time, the average may be obtained at 5 minute intervals, and if the flow of the vehicle is small and the flow is constant, the average may be adjusted at an hourly interval.

In this way, each local server obtains, manages and stores the average driving speed of a vehicle in a specific section within its own area, and provides them as traffic information through each base station. In addition, each local server transmits the average driving speed of the vehicle in each section to the traffic information center, the traffic information center to receive and aggregate traffic information of each area to control the traffic flow between the regions and provide traffic information You can do it.

In this way, it is very useful to provide the user with information about the traffic flow at every hour by calculating the average driving speed of the vehicle at a certain time. However, the conventional vehicle driving speed calculation method using the DSRC method has a problem that the accuracy of the raw data collected from the terminal is inferior. This means that the information about the traveling speed of the vehicle in each section may be inaccurate. Thus, the value of the information on the traffic flow provided to the user is halved as much.

The reason why the accuracy of the raw data collected from the terminal is lowered when calculating the traveling speed of the vehicle using the conventional DSRC method is that the communication time with the base station provided by the terminal is measured at an arbitrary position within the communication area of the base station. This is because the distance between two base stations stored in the server is always constant. The distance D between the base stations RSE1 and RSE2 used by the server to calculate the traveling speed of the vehicle is the distance between P ₁ and P ₂ , which are specific points in the communication area between the base stations RSE 1 and RSE ₂ . Accordingly, in order to obtain accurate driving speed data, the terminal must communicate with the base stations RSE1 and RSE2 at the two points P ₁ and P ₂ , respectively, and transmit the communication time to the server. In general, however, a terminal does not communicate with a base station at any point in the communication area of the base station, but rather with any base point in the communication area. In this case, the point at which the terminal communicates with the base station may vary depending on the direction in which the vehicle enters the base station, the speed at which the vehicle enters, and the communication environment at the time of entry. Accordingly, since the distance information between the two base stations stored in the server and the actual distance between the two points at which the terminal communicates with the base station are different, the average driving speed information of the vehicle between the two base stations calculated by the server is less accurate.

For example, as exemplarily shown in FIG. 1, the distance D between the base stations RSE1 and RSE2 stored in the server is based on points P ₁ and P ₂ in the two base stations (ie, D = P ₂ -P _1). ). Meanwhile, the terminal mounted in the probe vehicle communicates with the base stations RSE1 and RSE2 at one point P _r1 of the base station RSE1 and at one point P _r2 of the base station RSE2. Therefore, the distance traveled by the probe vehicle during the time T1 to T2 is not D but D _r (= P _r2 -P _r1 ). Therefore, in order to obtain accurate speed, it should be calculated as D _r / (T2-T1), not D / (T2-T1). However, as mentioned above, in the conventional case, the speed was calculated as D / (T2-T1). Therefore, in the example illustrated in FIG. 1, the average driving speed information of the vehicle in the section between the base stations RSE1 and RSE2 provided to the user is shown to be slower than actual. For this reason, when the conventional method is used, information that does not match the speed of the actual vehicle is provided to the user, and in some cases, information with a large error may be provided.

The present invention is directed to improving this conventional problem.

Accordingly, an object of the present invention is to provide a vehicle using a terminal equipped with a GPS type GPS receiver, a base station using a DSRC communication method, a server providing traffic information based on raw traffic data collected from the base station and the terminal, and the like. By accurately transmitting the time when passing through the representative location of the communication area of each base station to the server, the distance between the base stations stored in the server and the distance actually passed by the vehicle are matched to calculate a more accurate average driving speed of the vehicle. To provide.

In addition, another object of the present invention to provide a traffic information providing system that can calculate the average running speed of the vehicle more accurate by using the above method.

1 schematically illustrates a method of calculating an average driving speed of a vehicle using a DSRC communication method in a conventional traffic information providing system.

2 schematically illustrates a method of calculating an average driving speed of a vehicle using DSRC and DGPS techniques in a traffic information providing system according to the present invention.

3 is a flowchart illustrating a method of calculating a traveling speed of a vehicle according to the present invention.

According to a feature of the present invention for achieving the above object, the method according to the invention for calculating the average driving speed of the vehicle in the traffic information providing system using the DSRC and DGPS technology, (a) DGPS reference station error Calculating a correction value and providing the error correction value to each base station in real time through a server; (b) the first base station transmitting its node position value, unique ID, and the error correction value to a terminal mounted in a vehicle entering the communication area of the first base station; (c) the terminal transmitting the error correction value to a GPS receiver mounted in the same vehicle; (d) calculates a corrected GPS coordinate value by applying the error correction value received from the terminal to the GPS coordinate value of the vehicle measured by the signal received from the GPS satellite by the GPS receiver, and calculates the GPS coordinate value of the corrected vehicle Transmitting to the terminal; (e) the terminal comparing the corrected GPS coordinates of the vehicle with the node position value of the first base station and storing the time when the two values are closest as the node passing time; (f) The node passing time and unique ID of the second base station obtained by performing steps (a) to (e) while the terminal passes through the second base station immediately before the first base station and the third base station immediately before the second base station. And transmitting the node passing time and the unique ID of the third base station to the first base station; (g) the first base station receiving the node passing time and unique ID of the second base station and the node passing time and unique ID of the third base station from the terminal, transmitting the data to a server; And (h) the server receiving the node passing time and the unique ID of the second base station and the node passing time and the unique ID of the third base station from the first base station using the data so that the vehicle uses the data. And calculating an average driving speed while driving the base station.

In addition, another feature of the present invention, the DGPS reference station for calculating the error between the coordinate value and the actual coordinate value measured using a GPS satellite; A server that is connected to a plurality of base stations in real time to manage the base stations and calculates a traveling speed of a vehicle moving between the base stations; A base station installed at a roadside for transmitting and receiving traffic information with a terminal; A terminal mounted in a vehicle for transmitting and receiving traffic information with the base station and displaying the information to a driver by voice or text; And a GPS receiver mounted on the vehicle together with the terminal and measuring the position of the vehicle based on the error calculated by the DGPS reference station and transmitting the position to the terminal.

As described above, the present invention calculates an accurate average driving speed of the vehicle by using the DGPS technology in conjunction with the DSRC technology to improve the problems caused by the DSRC technology. That is, the data transmitted and received between the terminal, the base station, and the server mounted on the probe vehicle uses the DSRC technology, but the information on the exact location and time of the terminal is obtained using the DGPS technology.

Before describing the present invention in detail, first, the Global Positioning System (GPS) and the Differential Global Positioning System (DGPS) will be briefly described.

GPS is a navigational support system developed by the US government in the early 1970s.It is capable of receiving stationary or moving objects by receiving information transmitted from satellites without restriction of time or weather from anywhere on earth such as ground, sea, or air. The satellite navigation system consists of three parts: satellite group, ground control station, and user. GPS was initially developed for military purposes, but it has been widely applied as part of the GPS signal is open for civilian use.

The principle of GPS is conceptually simple. In other words, the location of an unknown point is determined by measuring the length of two sides between the points you want to know. In more detail, first, a time difference between a time point of generation of a code signal generated by a plurality of satellites and a reception point at a receiver is measured, and then multiplied by the speed of light to obtain a distance from the satellites to the receiver. . By solving the system of equations based on the distance between the satellites and the receiver and the position information of the satellites, the position of the receiver can be accurately calculated. At this point, we need to know the exact location of the satellites, and use the orbital force transmitted from the GPS satellites to calculate the location of these satellites. The calculated position may be represented by three values, that is, GPS coordinate values representing latitude, longitude, and altitude.

The accuracy of the single positioning method using a GPS receiver to estimate position is expected to be about 100 m horizontal, 156 m vertical, and 167 ns time when using only C / A codes allowed for civilians. That is, if only one C / A code is used, it is practically impossible to determine the position with a precision of 10 to 30 m or more. This is because a variety of error factors affect the distance data to the satellite determined by the receiver.

If a second device is present near the receiver and can tell the receiver how much error is currently being received, the error in positioning can be minimized. This is the method of satellite navigation correction. GPS or DGPS). The DGPS makes it possible to measure the position within several meters for moving objects and less than one meter for stationary objects by eliminating several sources of error associated with basic GPS.

DGPS requires two GPS receivers. One receiver is stationary and the other moves and performs positioning. This stationary receiver is at the heart of the DGPS concept and calculates the difference between the actual satellite measurements and the actual values that have already been precisely determined. Stationary receivers that play this role are called DGPS reference stations. In more detail, first, the DGPS Reference Station is fixed at a point where the actual position is known with an error of 1 mm or less through accurate surveying in advance, and then a GPS receiver for the DGPS Reference Station is installed. . Then, the GPS receiver for the DGPS reference station receives a signal from the GPS satellites, and calculates an error by comparing the exact position of the DGPS reference station with the position measured from the signal received by the receiver. The calculated error value is transmitted to a nearby GPS receiver for a user (eg, a GPS receiver mounted on a vehicle). The user can calculate the exact position by applying the error value received from the DGPS reference station to the position value calculated by his GPS receiver.

2 schematically illustrates a method of calculating an average driving speed of a vehicle using DSRC and DGPS techniques in a traffic information providing system according to the present invention. As shown in FIG. 2, the traffic information providing system according to the present invention includes a traffic information center, a local server, a base station, a terminal, a DGPS reference station, a GPS receiver (not shown), and the like. As described above, the DGPS reference station compares its own accurate position value with a position value measured from a signal received by the GPS receiver to calculate an error and transmits information about the error to each local server. The server receiving the transmission transmits the error information to each base station in real time, and the base station provides the error information to a terminal mounted in the vehicle in a DSRC manner. The vehicle is equipped with a GSP receiver along with a terminal for communicating with the base station in a DSRC manner. The terminal and the GPS receiver work together to measure the exact position of the vehicle. That is, when the terminal receives the error information calculated by the GPS reference station from the base station, the terminal transmits the error information to the GSP receiver. The GSP receiver calculates the exact position of the vehicle by correcting the position value calculated by the signal received from the GSP satellite using the error information received from the terminal, and transmits the corrected correct position value to the terminal. Other features of each component are the same as in the conventional case.

On the other hand, Figure 3 is a flow chart illustrating a method for calculating the running speed of the vehicle in accordance with the present invention. 2 and 3, a method for calculating a traveling speed of a vehicle according to the present invention will now be described in detail by way of example. Here, it is assumed that a probe vehicle equipped with a GPS receiver along with a DSRC communication terminal has sequentially entered and passed the communication area roads of the base stations RSE1 and RSE2 to enter the communication area of the base station RSE3.

(1) First, the DGPS reference station compares its exact position value already known with the position value measured from the signal received from the GPS receiver, calculates an error correction value, and transmits the error correction value to the local server. The server receiving the error correction value provides the error correction value to each base station in real time.

(2) When the probe vehicle enters the communication area of the base station RSE3, the terminal mounted on the probe vehicle uses the DSRC method to calculate the error correction value calculated by the DGPS reference station from the base station RSE3, the node position value of the base station RSE3, and the base station RSE3. Receive a unique ID as broadcast data. Here, the node position value is a fixed GPS coordinate value representing a representative position value of the communication area where each base station is located, and the server calculates the distance between each base station based on the node position value and stores it in a database. As shown in Fig. 2, in the case of the base station RSE3, the GPS coordinate value of the node C becomes the node position value.

(3) The terminal mounted on the probe vehicle transmits the received error correction value to the DGPS GPS receiver mounted on the same vehicle.

(4) The GPS receiver corrects the GPS coordinate value of the probe vehicle measured by the signal received from the GPS satellites to the error correction value received from the terminal, and transmits the corrected GPS coordinate value of the probe vehicle to the terminal.

(5) The terminal receives the GPS coordinate values (X`, Y`, Z`) of the probe vehicle received from the GPS receiver and the node position value of the current base station received from the base station (that is, the GPS coordinate values (X, Compare Y, Z)) and store the time when the two coordinate values are closest. That is, in the case of Fig. 2, the time when the probe vehicle passes closest to the Node C of the base station RSE3 is stored. This time is called node passing time. As described above, the GPS coordinate values may be represented by three values each having latitude, longitude, and altitude components.

(6) Then, the terminal passes the node passing time at the base station RSE2 immediately before the base station RSE3 with which it is currently communicating and the unique ID of the base station RSE2, the node passing time at the base station RSE1 immediately before the base station RSE2, and the base station RSE1. The unique ID and the unique ID of the terminal are transmitted to the base station RSE3 in a DSRC manner. Here, the node passing time and the base station unique ID at the base station RSE1 and the node passing time and the base station unique ID at the base station RSE2 are previously operated by the terminal through the base stations RSE1 and RSE2. This is a value already stored in the terminal.

(7) The base station RSE3, which has received the node passing time, the base station unique ID, and the terminal ID of the previous base station RSE2 and the previous base station RSE1 from the terminal, transmits this data to the server.

(8) The server receives the information and calculates the inter-vehicle vehicle running speed V _AB at the base stations RSE1 and RSE2 based on the received information. At this time, the vehicle driving speed (V _AB ) can be calculated using the following formula.

V _AB = D _AB / (T _B -T _A )

V _AB : Vehicle speed between Node A and Node B

D _AB : Distance between Node A and Node B

T _A : Passing time of Node A

T _B : Transit time of Node B

Here, the distance (D _AB ) between Node A and Node B is a fixed value previously stored in the database of the server, and the passing times T _A and T _B of Node A and Node B are nodes of the base station RSE1 with the same probe vehicle. A time when the node A of the base station RSE2 passes closest to each other and is the data received by the base station RSE3 from the terminal and transmitted to the server. At this time, whether or not the same probe vehicle can be distinguished by whether the ID of the terminal is the same.

Once the traveling speed of any vehicle passing between the two nodes is accurately obtained through the steps (1) to (8), the server can now determine the flow of the vehicle on the road based on this data as in the conventional method. It is possible to accurately calculate the average speed of vehicles in a particular section that can provide information. That is, the speeds of the vehicles passing through the two sections between the specific time intervals are respectively obtained by the method described above, and then averaged. At this time, the administrator of the server may shorten or lengthen the time interval for obtaining the average speed according to the change of the vehicle flow. For example, if the flow of the vehicle is large and the flow changes from time to time, the average may be obtained at 5 minute intervals, and if the flow of the vehicle is small and the flow is constant, the average may be adjusted at an hourly interval.

In this way, each local server accurately calculates, manages and stores the average driving speed of the vehicle in a specific section within its own area, and provides them as traffic information through each base station. In addition, each local server transmits the average driving speed of the vehicle in each section to the traffic information center, the traffic information center receives and aggregates the traffic information of each area to more precisely control the traffic flow between the areas and traffic Information can be provided.

So far, with reference to Figures 2 and 3, the method for accurately calculating the average driving speed of the vehicle in the traffic information providing system using the DSRC and DGPS technology according to the present invention has been described in detail. However, the detailed description of the invention and the description of the accompanying drawings are provided as an example only to assist in understanding the invention, and are not intended to limit the scope of the invention. For example, in Fig. 2, only three base stations are described, but in reality, a large number is installed throughout the road. Also, in the execution order of the invention, in the detailed description of the present invention, the passing information of the previous base station and the previous base station is transmitted after passing through the node C, but may be transmitted before that. Furthermore, although not explicitly described in the detailed description of the present invention, each base station and the terminal may also transmit and receive other types of traffic information to help the driver while transmitting and receiving data for calculating the driving speed. Accordingly, it should be understood by those skilled in the art that the present invention may be modified in various ways without departing from the spirit and scope of the present invention.

According to the present invention as described above, since the representative position of each base station and the position for measuring the time that the vehicle passes through the base station match, the distance between the actual moving distance of the vehicle and the base station stored in the server becomes equal. Therefore, according to the present invention, the average driving speed of the vehicle for each section can be obtained more accurately than before, and as a result, it is possible to provide more accurate traffic information to the user. Furthermore, the traffic information center can control traffic flow more efficiently based on such accurate data.

Claims (18)

In a traffic information providing system including a traffic information central center, a server, a base station, a terminal, a DGPS reference station, and a GPS receiver, a method of calculating an average driving speed of a vehicle using DSRC and DGPS techniques is provided. (a) the DGPS reference station calculating the error correction value and providing the error correction value to each base station in real time through a server; (b) the first base station transmitting its node position value, unique ID, and the error correction value to a terminal mounted in a vehicle entering the communication area of the first base station; (c) the terminal transmitting the error correction value to a GPS receiver mounted in the same vehicle; (d) calculates a corrected GPS coordinate value by applying the error correction value received from the terminal to the GPS coordinate value of the vehicle measured by the signal received from the GPS satellite by the GPS receiver, and calculates the GPS coordinate value of the corrected vehicle Transmitting to the terminal; (e) the terminal comparing the corrected GPS coordinates of the vehicle with the node position value of the first base station and storing the time when the two values are closest as the node passing time; (f) The node passing time and unique ID of the second base station obtained by performing steps (a) to (e) while the terminal passes through the second base station immediately before the first base station and the third base station immediately before the second base station. And transmitting the node passing time and the unique ID of the third base station to the first base station; (g) the first base station receiving the node passing time and unique ID of the second base station and the node passing time and unique ID of the third base station from the terminal, transmitting the data to a server; And (h) The server, having received the node passing time and unique ID of the second base station and the node passing time and unique ID of the third base station from the first base station, uses the data to make the vehicle use the third base station and the second base station. Computing the average running speed during the driving method comprising the step of calculating the average running speed of the vehicle. The method of claim 1, The step (a) of calculating the error correction value by the DGPS reference station may be performed by comparing the exact position value of the DGPS reference station with its own position value measured based on a signal received from a GPS satellite. A method for calculating the average running speed of a vehicle. The method of claim 1, Transmitting and receiving between the terminal and the first base station in the step (b) and step (f) is a DSRC method, the average vehicle speed calculation method. The method of claim 1, And the node position value is a GPS coordinate value consisting of three values of latitude, longitude, and altitude. The method of claim 1, (H) the server calculating the average running speed while the vehicle is traveling the third base station and the second base station, wherein: Average running speed = (distance between node of base station 3 and node of base station 2) / (node passing time of base station 2-node passing time of base station 3) Method for calculating the average running speed of the vehicle, characterized in that made using. The method of claim 5, wherein And a distance between the node of the third base station and the node of the second base station is a fixed value previously stored in the server. In a system for calculating an average driving speed of a vehicle using DSRC and DGPS technology in a traffic information providing system, the average driving speed calculation system of the vehicle is: A DGPS reference station that calculates an error between a coordinate value measured using a GPS satellite and an actual coordinate value; A server that is connected to a plurality of base stations in real time to manage the base stations and calculates a traveling speed of a vehicle moving between the base stations; A base station installed at a roadside for transmitting and receiving traffic information with a terminal; A terminal mounted in a vehicle for transmitting and receiving traffic information with the base station and displaying the information to a driver by voice or text; And A GPS receiver mounted on the vehicle together with the terminal, the GPS receiver measuring the position of the vehicle based on the error calculated by the DGPS reference station and transmitting the measured position to the terminal; Here, the terminal compares the position value of the vehicle measured by the GPS receiver with the node position value of the base station received by the base station, and stores the time when the two values are closest as the node passing time and passes just before the current base station. When the node passing time and the unique ID of the first two base stations are transmitted to the server through the current base station, the server calculates the average driving speed of the vehicle between the two base stations based on the data. Average speed calculation system. The method of claim 7, wherein The DGPS reference station calculates an error by comparing its own position value measured based on a signal received from a GPS satellite and its exact position value already known to calculate an error. The method of claim 8, And the DGPS reference station transmits the calculated error to each base station through a server. The method of claim 7, wherein Transmitting and receiving between the terminal and the base station is an average running speed calculation system, characterized in that the DSRC method. The method of claim 7, wherein And said node position value is a GPS coordinate value consisting of three values of latitude, longitude, and altitude. The method of claim 7, wherein When the server calculates the average running speed of a vehicle between the first two base stations that passed just before the current base station, the following equation: Average running speed = (distance between nodes of the two base stations) / (difference of node passing time of the two base stations received from the terminal) Average driving speed calculation system of the vehicle, characterized in that the calculation using. The method of claim 12, And a distance between nodes of the two base stations is a fixed value previously stored in the server. The method according to any one of claims 7 to 9, And the base station transmits its node position value, unique ID, and the error value to a terminal mounted in the vehicle entering the communication area thereof. The method of claim 14, The terminal is the average speed calculation system of the vehicle, characterized in that for transmitting the error value to the GPS receiver mounted on the same vehicle. The method of claim 7, wherein And the GPS receiver calculates a GPS coordinate value corrected by applying the error value to the GPS coordinate value of the vehicle measured by a signal received from a GPS satellite. In a traffic information providing system including a traffic information central center, a server, a base station, a terminal, a DGPS reference station, and a GPS receiver, the method for providing average driving speed information of vehicles on each road by time and section is provided. Computing and storing the driving speed of each vehicle between the base stations in its area by the server of each area by the method of claim 1; Calculating, by the server, the average driving speed of vehicles on the road by time and section by accumulating and averaging the running speeds of the vehicles within a predetermined time interval from the present on the basis of the stored driving speeds of the respective vehicles; And The traffic information central center receives and aggregates the average driving speeds of the vehicles for each time and section from each of the servers, and provides the driver with the traffic information as the traffic information. How to Provide. The method of claim 16, The time interval is short when the flow of the vehicle is a lot of flow changes from time to time, and when the flow of the vehicle is small and the flow is constant, the average running speed information providing method for each time period, characterized in that the length is adjusted.