KR100804800B1 - A system and method for providing traffic information - Google Patents

Abstract

A system and a method for generating traffic information are provided to service bus traffic information having reliability by compensating for the deviation of bus traffic information and general traffic information provided from collectors. A system for generating traffic information includes a traffic information providing server(300) and a traffic information database(400). The traffic information providing server compensates for the characteristic of first traffic information and generates first compensation traffic information based on the deviation between first and second traffic information from first and second collecting vehicles having deviated traffic information and general traffic information, respectively. The traffic information database stores compensation data generated from the traffic information providing server. The traffic information providing server includes a first traffic information compensating unit, which calculates a first compensation coefficient based on the ratio of the first and second traffic information, compensates for the first traffic information using the first compensation coefficient, and generates first compensation traffic information in real-time.

Description

A system and method for providing traffic information}

1 is a block diagram of a traffic information generation system connected to a user terminal according to an exemplary embodiment of the present invention.

2 is a detailed configuration diagram of a traffic information database and a traffic information providing server according to an exemplary embodiment of the present invention.

3 is a flowchart of a method of generating real-time link traffic information according to an embodiment of the present invention.

4 is a flowchart illustrating correction of real-time bus traffic information according to an embodiment of the present invention.

5 is a flowchart illustrating a pattern bus traffic information correction according to an embodiment of the present invention.

6A and 6A are table patterns correction coefficient tables when the pattern characteristic value is day / time and the degree of congestion, respectively.

7 is a flowchart illustrating a single traffic information generation for each link through bus traffic information correction according to an exemplary embodiment of the present invention.

The present invention relates to a traffic information generating system and a method of generating. More particularly, the present invention relates to a traffic information generating system and a method of generating traffic information for each link by correcting bus traffic information.

For real-time traffic information, traffic information needs to be collected in real time. Generally, section traffic information is continuously collected from a collecting vehicle (called a 'probu vehicle') to collect real-time traffic information. In this case, taxis and buses are mainly used as a collector vehicle because the operation rate of the corresponding model is higher than the reference time.

In the case of using a taxi as a collector's vehicle, there is a characteristic that a random traffic information collection rate is obtained for an unspecified number of links (road sections) within a regional range, while in the case of using a bus, a link to a corresponding route (road section) is used. ) Shows a fixed and efficient collection rate for).

Collecting pain information using taxis has similar characteristics to general traffic information, but it is different from general traffic information because of bus stops on almost all links, passengers get on and off, and the effects of various bus lanes. Will show characteristics. Therefore, when collecting traffic information using a bus, it is necessary to correct and use the traffic information transmitted from the bus.

As a related art regarding traffic information correction of a bus collector, there is a "traffic information collection system using a bus and a traffic information collection method using the same" described in Korean Patent Laid-Open Publication No. 2004-0003230.

The above-described conventional technology calculates the passage passing loss time of the route bus, the section passage speed of the route bus and the average section passage speed by subtracting the door opening time information of the route bus from the stop time information. The prior art is a method of generating traffic information by simply considering the door opening and closing time at the stop for the bus traffic information.

However, in the traffic information collected from the bus (hereinafter referred to as 'bus traffic information'), the factors that cause the traffic situation different from general traffic information are not only the door opening and closing time at the stop, but also deceleration / acceleration when entering / exiting the stop. Due to the time loss caused by the stop, additional signal waiting time due to the stop signal, and dedicated lanes.

In other words, the traffic information characteristics of the bus collectors are not only static factors such as the number of stops, the type of dedicated lanes, the signal display system, but also the congestion degree that varies depending on the time of day and day of the week, the number of passengers getting on and off, and the traffic flows generated when stopping. Since various dynamic elements such as variation are mixed, there is a limit in the correction power in the conventional correction method for bus traffic information.

Accordingly, an object of the present invention is to provide a traffic information generation system and a method for generating reliable traffic information for each link using bus traffic information.

Traffic information generation system according to a feature of the present invention for achieving the above object is

In consideration of the traffic deviation between the first traffic information transmitted from the first collecting vehicle having a deviation from the flow of general traffic information and the second traffic information transmitted from the second collecting vehicle reflecting the flow of the general traffic information, 1 traffic information providing server for correcting the characteristics of the traffic information to generate a single traffic information per link; And

And a traffic information database for storing correction data generated by the traffic information providing server.

In this case, the traffic information providing server calculates a real time first correction coefficient based on a ratio of the first traffic information and the second traffic information during a predetermined period, and converts the first traffic information into the real time first correction coefficient. It may include a real-time first traffic information correction unit for correcting to generate a real-time first correction traffic information.

Further, the traffic information providing server calculates a pattern first correction coefficient based on a ratio of the accumulated first traffic information for a predetermined period and the second traffic information accumulated for a predetermined period, and calculates the pattern first correction coefficient as the pattern first correction coefficient. The apparatus may further include a pattern first traffic information corrector configured to correct the first traffic information to generate pattern first corrected traffic information.

The traffic information providing server may further include a first correction traffic information generation unit for each link that generates first correction traffic information for each link by averaging the real time first correction coefficient and the pattern first correction coefficient based on a set weight. It may include.

Further, the traffic information providing server synthesizes the first traffic information for each link generated by the first correction traffic information generation unit for each link and the final traffic information of the collected vehicle, and generates a single traffic information for each link. It may further include a single traffic information generation unit.

On the other hand, the traffic information generation method according to one feature of the present invention

(a) receiving first traffic information transmitted from a first collecting vehicle reflecting a flow of bus traffic information and general traffic information transmitted from a bus; And

(b) calculating a real-time bus correction coefficient based on a ratio of the bus traffic information and the first traffic information for a predetermined period, and correcting the bus traffic information with the calculated real-time bus correction coefficient to obtain real-time bus correction traffic information. Generating.

On the other hand, the traffic information generation method according to another feature of the present invention

(a) receiving first traffic information transmitted from a first collecting vehicle reflecting a flow of bus traffic information and general traffic information transmitted from a bus;

(b) calculating a real-time bus correction coefficient based on a ratio of the bus traffic information and the first traffic information for a predetermined period, and correcting the bus traffic information with the calculated real-time bus correction coefficient to obtain real-time bus correction traffic information. Generating; And

(c) generating single traffic information per link based on the real-time bus correction traffic information.

On the other hand, the traffic information generation method according to another aspect of the present invention

(a) receiving first traffic information transmitted from a first collecting vehicle reflecting a flow of bus traffic information and general traffic information transmitted from a bus;

(b) calculating a pattern bus correction coefficient based on a ratio of the bus traffic information accumulated in a predetermined period and the first traffic information, and correcting the bus traffic information using the calculated pattern bus correction coefficient to correct the pattern bus. Generating traffic information; And

(c) generating single traffic information per link based on the real-time pattern bus correction traffic information.

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. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

In addition, when a part is said to "include" a certain component, this means that it may further include other components, except to exclude other components unless otherwise stated.

In addition, the term "--- part" described herein refers to one unit for processing a specific function or operation, which may be implemented in hardware or software, or a combination of hardware and software.

First, the main terms used in the following description are summarized as follows.

A "node" refers to an element of a network that corresponds to the intersection of an actual road.

A "link" is a network element representing a connection section on a real road that is a node and a node connecting the node, and refers to a network connection section consisting of a start node and an end node.

"Congestion" is a step of dividing the road speed by dividing congestion degree, usually divided into smooth / slow / slow / congestion.

"Collector" means the vehicle type (vehicle type) of the vehicle used in the section traffic information collection system.

"Traffic information" means vehicle flows, such as speed or time of travel.

"Period" means a period for generating and providing traffic information.

"Current cycle" refers to the most recent period (time) to be corrected or referenced.

1 is a diagram illustrating a traffic information generation system 500 according to an embodiment of the present invention.

As shown in FIG. 1, the traffic information generation system 500 according to an exemplary embodiment of the present invention is connected to the user terminal 100 through a wireless network and is transmitted from the traffic condition information providing server 200. Based on the, as a system for generating and providing a single traffic information per link may include a traffic information providing server 300 and a traffic information database 400.

The user terminal 100 may generate coordinate information about a user location, request various services through a wireless network, or provide desired traffic information to a user without access to a server.

The situation information providing server 200 is a taxi 20 (hereinafter referred to as "traffic information collection taxi") is installed traffic information collecting device and a bus 40 (hereinafter referred to as "traffic information collection bus") is installed traffic information collection device And collect real-time taxi traffic information and real-time bus traffic information, respectively.

According to an embodiment of the present invention, the traffic information (hereinafter, referred to as "taxi traffic information") transmitted from the taxi 20 for collecting traffic information shows similar characteristics to general traffic information for an unspecified number of links (road sections), but the traffic information Traffic information (hereinafter, referred to as "bus traffic information") transmitted from the collecting bus 40 has different characteristics from general traffic information. Meanwhile, according to an embodiment of the present invention, traffic information reflecting the flow of general traffic information was collected from the traffic information collecting taxi 20, but in addition to the taxi, a logistics vehicle, a courier vehicle, or a personal vehicle equipped with a traffic information collecting device. Traffic information can be collected from the. Hereinafter, real-time traffic information collected from a probe vehicle (taxi, personal vehicle) reflecting general traffic information characteristics is also referred to as "first real-time traffic information."

In this case, the situation information providing server 200 may collect taxi traffic information (first real-time traffic information) or bus traffic information in units of links according to the driving trajectory of the vehicle.

The traffic information database 400 stores various data for generating traffic information or providing traffic information, and in particular, correction coefficients and corrected traffic for correcting bus traffic information based on taxi traffic information (first real-time traffic information). It is storing information.

The traffic information providing server 300 compares bus traffic information for each link and taxi traffic information stored in the traffic information database 400 to correct real-time bus traffic information and pattern bus traffic information. Then, the traffic information providing server 300 generates the final corrected bus traffic information for each link through the corrected real-time bus traffic information and the corrected pattern bus traffic information, and links based on the generated final corrected bus traffic information. Create a single traffic information star.

Referring to Figure 2 will be described in detail the traffic information providing server 300 and the traffic information database 400 according to an embodiment of the present invention.

As shown in Figure 2, the traffic information providing server 300 according to an embodiment of the present invention is a real-time bus traffic information correction unit 310, the pattern bus traffic information correction unit 320, the link-specific bus correction traffic information generation Including the unit 330 and the link-specific traffic information generation unit, it is possible to generate a single link traffic information with the corrected bus traffic characteristics.

The traffic information database 400 includes a bus traffic information storage unit 410, a taxi traffic information storage unit 420, other traffic information storage unit 430, and a correction coefficient storage unit 440.

The bus traffic information storage unit 410 stores bus traffic information corresponding to each link transmitted from the status information providing server 200 by date / day / time / time / congestion degree. The taxi traffic information storage unit 420 stores taxi traffic information corresponding to each link transmitted from the status information providing server 200 by date / day / time / time / congestion degree. The other traffic information storage unit 430 stores traffic information corresponding to each link transmitted from a vehicle other than a bus and a taxi (for example, a courier vehicle or a private car).

The real-time bus traffic information correction unit 310 is for each link for a predetermined period (for example, 5 cycles, 1 cycle is set to 5 minutes) from the bus traffic information storage unit 410 and the taxi traffic information storage unit 420. Take bus traffic information and taxi traffic information for each link, calculate a real-time bus correction coefficient representing the ratio of bus traffic information and taxi traffic information for a predetermined period, and calculate the calculated real-time bus correction coefficient to the correction coefficient storage unit 440. Save it. The real-time bus traffic information correction unit 310 corrects the real-time bus traffic information based on the real-time bus correction coefficient.

The pattern bus traffic information correction unit 320 accumulates the bus traffic information for each link and the taxi for each link accumulated for a predetermined period (for example, six months) from the bus traffic information storage unit 410 and the taxi traffic information storage unit 420. The traffic information is read, a pattern bus correction coefficient indicating a ratio of bus traffic information and taxi traffic information for a predetermined period is calculated, and the calculated pattern bus correction coefficient is stored in the correction coefficient storage unit 440. The pattern bus traffic information correction unit 320 corrects the pattern bus traffic information based on the pattern bus correction coefficient.

The bus correction traffic information generation unit 330 for each link may include a real-time bus correction coefficient generated by the real-time bus traffic information correction unit 310 and a pattern bus correction coefficient generated by the pattern bus traffic information correction unit 320. The bus correction traffic information for each link is generated based on the weight.

The link-specific traffic information generation unit 340 is weighted to the link-based bus correction traffic information generated by the link-based bus correction traffic information generation unit 330 and traffic information for the remaining collectors (logistics, etc.) (raw collection traffic). After assigning the number of information, it is synthesized by the arithmetic mean and finally generates single traffic information for each link whose bus traffic information characteristics are corrected.

Next, a method of generating real-time link traffic information according to an embodiment of the present invention will be described with reference to FIG. 3.

According to an embodiment of the present invention, the traffic characteristics of the bus traffic information is corrected to generate real-time link traffic information. Specifically, the traffic information deviation with the bus traffic information based on the taxi traffic information, which is a general traffic information generation source (difference) The final real-time link traffic information is generated using the corrected bus information.

As shown in FIG. 3, the real-time bus traffic information correction unit 310 is corrected by first correcting the real-time bus traffic information reflecting the real-time trend of the deviation of the traffic information between the taxi traffic information (general traffic information) and the bus traffic information. Real time bus traffic information (also referred to as 'real time first corrected traffic information') is generated. (S100)

The pattern bus traffic information correction unit 320 corrects the pattern bus traffic information by using statistical data of past history on the deviation of the traffic information of the taxi traffic information (general traffic information) and the bus traffic information. Also referred to as 'pattern first corrected traffic information'. (S200)

As described above, according to the embodiment of the present invention, ① pattern bus traffic information using ① real-time bus traffic information correction and statistical data of past history is corrected by using the real-time traffic trend to correct the deviation of the traffic information with the bus traffic information based on the taxi traffic information. Two methods of correction are used.

Then, the link-specific bus traffic information correction unit 330 performs the corrected real-time bus traffic information (real-time first correction traffic information) and the corrected pattern bus traffic information (pattern first correction) generated in steps S100 and S200. Traffic information) is synthesized with a predetermined weight to generate bus-corrected traffic information for each link (also referred to as 'link-specific first correction traffic information'). (S300)

Then, the single traffic information generation unit 340 for each link finally synthesizes the generated bus correction traffic information for each link (first correction traffic information for each link) with taxi traffic information and other collector traffic information, thereby providing a highly reliable link. Create a single traffic information. (S400)

Next, a method of correcting real-time bus traffic information according to an embodiment of the present invention will be described in detail with reference to FIG. 4.

The real-time bus traffic information correction unit 310 generates / provides raw traffic information for each collector (bus / taxi), which is generated and provided every five minutes, from the bus traffic information storage unit 410 and the taxi traffic information storage unit 420, respectively. Bring by the collector. (S120)

Then, traffic information (eg, travel time or speed) of taxis and buses during the reference period (eg, from the past three to five cycles) is calculated for the traffic information of the bus collector. (S140)

Then, the real-time bus traffic information correction unit 310 refers to the taxi traffic information and the bus traffic information during the extracted reference period, and extracts the ratio of the traffic information (for example, travel time or speed) of the bus to the taxi, The real-time bus correction coefficient of the bus collector of the period is calculated, and the calculated real-time bus correction coefficient is stored in the correction coefficient storage unit 430. (S160)

At this time, the real-time bus correction coefficient in the step S160 is obtained by the following equation (1).

In Equation 1 above, the real-time bus correction coefficient is calculated by using an arithmetic average method considering the number of reference cycles related to real-time bus traffic information correction (the number of past reference cycles, n), but at a period close to the target period (current cycle, t). You can also calculate the real-time bus correction coefficients by giving higher weights to them. For example, when calibrating the past four periods, 0.4 is given for the t-1 period, 0.3 for the t-2 period, 0.2 for the t-3 period, and 0.1 for the t-4 period. By giving a high level, real-time bus traffic information can be calculated. The correction factor calculation method that considers these weights considers the difference between the traffic information close to the current cycle (the ratio of the traffic information of the bus to the taxi) as much as possible, and provides a more reliable correction factor in calculating the real-time bus correction factor. The advantage is that it can be extracted.

)를 해당주기(t)의 버스 교통정보(

)에 곱하 여, 수학식 2와 같이 최종적으로 보정된 실시간 버스 교통정보(실시간 제1 보정 교통정보)를 생성해 낸다. Then, the real-time bus traffic information correction unit calculates the real-time bus correction coefficient calculated in step S160 (

) Is the bus traffic for that period (t)

), And finally corrected real-time bus traffic information (real-time first corrected traffic information) as shown in Equation (2).

Next, a method of correcting pattern bus traffic information according to an embodiment of the present invention will be described in detail with reference to FIG. 5.

Only the correction method of the real-time bus traffic information described above may have a weak point in the correction effect of the bus traffic information. For example, if there is a period without any of the taxi traffic information or the bus traffic information within the past 3 to 6 cycles referenced in the real time bus traffic information correction, the period cannot be used for the real time bus traffic information correction. In addition, even though both taxi and bus traffic information exist in all reference periods (3 to 6 cycles), the traffic information percentage values used in the real-time bus correction coefficient do not have a constant trend and may show a significant deviation. If it becomes more severe, the reliability of the correction factor is lowered.

Therefore, according to an embodiment of the present invention, in order to compensate for such a weakness that the real-time bus traffic information correction method may have, the correction is performed by using the pattern bus traffic information correction method. That is, the pattern bus traffic information correction method according to the embodiment of the present invention is different from the method using the real-time traffic information difference trend in the real-time bus traffic information correction method for each period for a predetermined period (for example, 1 to 6 months) The correction factor (parameter) value generated by patterning the ratio of taxi traffic information to taxi by characteristic value is used.

Referring to FIG. 5, the pattern bus traffic information correction unit 320 may collect raw traffic information by bus (taxi / bus) by characteristic values (eg, congestion, day of the week) for each link for a certain period (eg, 6 months). Are respectively obtained from the bus traffic information storage unit 410 and the taxi traffic information storage unit 420. (S220)

Then, the pattern bus traffic information correction unit 320 collects taxi traffic information (also referred to as' cumulative taxi traffic information ') and bus traffic information (' cumulative bus traffic information) for a predetermined period collected in response to a predetermined characteristic value (congestion degree). The pattern bus correction coefficient corresponding to the ratio of the bus traffic information to the taxi is calculated, and the pattern bus correction coefficient calculated for each characteristic value is stored in the correction coefficient storage unit 430. At this time, the characteristic value of the congestion degree can be divided into desired / slow / congestion.

In this case, when the characteristic value is a congestion degree, the pattern bus correction coefficient generated by the step S240 may be obtained through Equation 3 below.

Then, the pattern bus traffic information correcting unit 320 performs the corrected pattern bus traffic information (pattern first correction traffic information) based on the pattern bus correction coefficient generated in step S240 and the bus traffic information in the corresponding period. Create (S260)

)를 해당주기(t)의 버스 교통정보(

)에 곱하여 다음의 수학식 4와 같이 최종적으로 보정된 패턴 버스 교통 정보를 생성한다. That is, the pattern bus traffic information correction unit 320 may determine the pattern bus correction coefficient (

) Is the bus traffic for that period (t)

Multiply by) to generate the final corrected pattern bus traffic information as shown in Equation 4 below.

In Equation 3 and Equation 4, the congestion degree is used as the characteristic value, but the pattern bus correction coefficient may be constructed using the characteristic value for each day / time in addition to the congestion degree. At this time, the characteristic value for each day can be divided into month / Tue / Wed / Thu / Fri / Sat / Day ◎ or weekday / Weekend ◎ etc., and the characteristic value for each time zone is 5 minutes / 10 minutes / 30 minutes / 1 hour / 2 It can be divided into time / peak-non-peak.

For example, when the generation characteristic value of the pattern correction coefficient is generated for each day / time zone, the day and time zone of the correction target period (current cycle) of the bus traffic information are identified and the pattern correction coefficient of the corresponding day / time zone is used. In the case of generating the characteristic value of the pattern correction coefficient as a congestion, it is used to identify the situation in which the congestion of bus traffic information (eg smooth / slow / congestion, etc.) is used and the pattern correction coefficient corresponding to the congestion degree is used.

In this case, when the day / time separator is generally used as the characteristic value for generating the pattern correction coefficient, the pattern characteristic value increases, so in order to generate an effective pattern correction coefficient, it should be extracted for a fairly long period (eg, 3 to 6 months). However, when the congestion separator is used as a characteristic value for generating the pattern correction coefficient, it has relatively small pattern characteristic values (e.g., 3 smooth, slow, and congested), so that the pattern correction coefficient is applied to a fairly short period (e.g. 1 to 2 months). It is also possible to generate effective correction coefficients by generating.

6A and 6B illustrate a pattern bus correction coefficient table constructed by applying a ◎ characteristic value for each day / time zone stored in the correction coefficient storage unit 430 and a congestion characteristic value (seam / slow / congestion), respectively. An example of a coefficient table is shown.

The pattern bus correction coefficients generated in this way are updated on a periodic basis (for example, weekly / monthly) to always maintain the latest data for each cycle, thereby increasing the reliability and usefulness of the correction coefficient.

Next, a bus traffic information generation method for each link and a single traffic information generation method for each link will be described with reference to FIG. 7.

As illustrated in FIG. 7, the bus traffic information generation unit 330 for each link reads the real-time bus correction coefficient and the pattern bus correction coefficient from the correction coefficient storage unit 430. (S320)

The bus traffic information generation unit 330 for each link generates bus correction traffic information for each link through the real-time bus correction coefficient, the pattern bus correction coefficient, and the set weight read in step S320. (S340)

That is, the link-specific bus traffic information generation unit 330 may give a predetermined weight to the corrected real-time bus traffic information generated in step S100 and the corrected pattern bus traffic information generated in step S200, and finally, as shown in Equation 5 below. To generate bus-corrected traffic information for each link.

In this case, Equation 5 may be represented by Equation 6 below.

As can be seen from Equation 6, the bus traffic information generation unit 330 for each link may generate bus correction traffic information for each link through the read real-time bus correction coefficient, the pattern bus correction coefficient, and a predetermined weight.

In this case, the real-time bus traffic information correction reflecting the deviation trend with respect to the real-time traffic information ratio, rather than the pattern bus traffic information correction using the averaged correction coefficient, can exhibit the correction ability of the bus traffic information of the current cycle. However, the collection rate of either one of the bus and taxi traffic information for real-time bus traffic information correction drops considerably, or the real-time speed trend fluctuation of the taxi and bus traffic information, which is the basis for generating the correction factor, may occur severely. In this case, since the reliability of the real-time bus correction coefficient is inferior, the correction effect can be enhanced by relatively increasing the weight (a) for the pattern correction coefficient.

According to an embodiment of the present invention, the weight a of the pattern bus correction coefficient generally uses a default value of 0.5, and in the case of the link as described above, the weight a may be arbitrarily adjusted and applied.

Finally, after generating the bus correction traffic information for each link, the single traffic information generation unit 340 for each link collects final traffic information for each collector in addition to the bus correction traffic information for each link. (S420)

Then, the single traffic information for each link generation unit 340 synthesizes the traffic information for each collector to the bus correction traffic information for each link generated in the step S300, the single traffic information for each link of the current cycle through the correction of the bus traffic characteristics Create (S440)

At this time, the single traffic information per link of the current period is obtained by the following equation (7).

As can be seen from Equation 7, the single traffic information generation unit 340 for each link assigns weights (number of raw collected traffic information) to the final corrected bus traffic information and traffic information for taxis and the rest of the collectors (logistics, etc.). After synthesis by the arithmetic mean, the single traffic information for each link with the corrected bus traffic information characteristics is generated.

)는 각 수집원별(

)로 해당주기(t)동안에 수집된 원시 교통정보 건수로서, 일반적으로 교통량이 가장 많은 택시 및 버스의 건수가 가장 많다. 이는, 가장 많은 교통량을 갖는 대표 수집원(

)에 대해 교통정보 합성의 가중치를 높게 주기 위함이다.Here, the number of raw collected traffic information (

) For each collector (

) Is the number of raw traffic information collected during the period (t), with the largest number of taxis and buses with the most traffic. This means that the representative collector who has the most traffic volume (

) To increase the weight of the traffic information synthesis.

As described above, according to an embodiment of the present invention, by correcting the deviation of the traffic information for the bus collector to generate the corrected bus traffic information with reliability as the general traffic information for each link, based on the traffic information for each link in real time. The reliability of the traffic information service provided can be raised to a new level.

Although the embodiments of the present invention have been described above, the present invention is not limited to the above embodiments, and various other modifications and changes are possible.

For example, in the above-described embodiment of the present invention, a taxi was used as a collector showing a flow similar to general traffic information. In addition, a logistics vehicle, a courier vehicle, or a general private vehicle may be used.

Further, in the embodiment of the present invention, the corrected bus traffic information for each link is generated using the corrected real-time bus traffic information and the corrected pattern bus traffic information, but either the corrected real-time bus traffic information or the corrected pattern bus traffic information Only one can provide link correction traffic information for each link.

In addition, in the embodiment of the present invention, the single traffic information for each final link is provided by combining the bus traffic information for each link and the final traffic information for each collector, but the single traffic information for each link may be provided using only the bus traffic information for each link. have.

Although the preferred embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concepts of the present invention defined in the following claims are also provided. It belongs to the scope of rights.

As described above, according to the present invention, the corrected bus traffic information can be generated with reliability as general traffic information for each link by correcting a deviation between the bus traffic information provided from the bus collector and the general traffic information.

In addition, according to the present invention can further increase the reliability of the standardized traffic information service provided based on the traffic information for each real-time link.

Claims (22)

In the traffic information generation system for generating traffic information provided to the user terminal, In consideration of the traffic deviation between the first traffic information transmitted from the first collecting vehicle having a deviation from the flow of general traffic information and the second traffic information transmitted from the second collecting vehicle reflecting the flow of the general traffic information, A traffic information providing server configured to correct characteristics of the traffic information to generate real-time first corrected traffic information; And A traffic information database for storing correction data generated by the traffic information providing server; The traffic information providing server A real-time first correction coefficient is calculated based on a ratio of the first traffic information and the second traffic information for a predetermined period, and the first traffic information is corrected by the real-time first correction coefficient to real-time first corrected traffic information. Including a real-time first traffic information correction unit for generating a Traffic Information Generation System. delete The method of claim 1, The traffic information database A first traffic information storage unit storing first traffic information transmitted from the first collection vehicle; And A second traffic information storage unit storing second traffic information transmitted from the second collection vehicle; And Traffic information generation system comprising a correction coefficient storage unit for storing the real-time first correction coefficient. The method of claim 3, The pattern first correction is based on a ratio of the accumulated first traffic information for a predetermined period read from the first traffic information storage unit and the accumulated second traffic information for a predetermined period read from the second traffic information storage unit. A pattern first traffic information for generating a pattern first correction traffic information by storing a pattern first correction coefficient calculated by calculating a coefficient and storing the correction first traffic information in the correction coefficient storage unit, and correcting the first traffic information with the pattern first correction coefficient. Traffic information generation system further comprising a correction unit. The method of claim 4, wherein The first correction traffic information generation unit for each link generating the first correction traffic information for each link by averaging the real time first correction coefficient and the pattern first correction coefficient stored in the correction coefficient storage unit based on a set weight. Traffic information generation system. The method of claim 5, A link that generates single traffic information for each link from a sum calculated by weighting each of the first and second traffic information for each link generated by the first correction traffic information generation unit for each link and the final traffic information of the second collection vehicle. Traffic information generation system further comprising a single traffic information generation unit. The method according to any one of claims 4 to 6, The first traffic information storage unit and the second traffic information storage unit store the first traffic information and the second traffic information by day / time zone, And the pattern first traffic information correction unit calculates the pattern first correction coefficient based on the first traffic information and the second traffic information stored for each day / time zone. The method according to any one of claims 4 to 6, The first traffic information storage unit and the second traffic information storage unit store the first traffic information and the second traffic information by congestion degree, And the pattern first traffic information correction unit calculates the pattern first correction coefficient based on the congestion degree of the first traffic information. The method according to any one of claims 1 or 3 to 6, The real-time first correction coefficient is calculated by averaging the ratio of the first traffic information and the second traffic information for a predetermined period by weighting the period close to the present. The method according to any one of claims 1 or 3 to 6, And the first traffic information is information collected from a bus. The method of claim 10, And the second traffic information is information collected from a taxi. In the traffic information generation method for generating the traffic information provided to the user terminal, (a) receiving first traffic information transmitted from a first collecting vehicle reflecting a flow of bus traffic information and general traffic information transmitted from a bus; And (b) calculating a real-time bus correction coefficient based on a ratio of the bus traffic information and the first traffic information for a predetermined period, and correcting the bus traffic information with the calculated real-time bus correction coefficient to obtain real-time bus correction traffic information. Traffic information generation method comprising the step of generating. The method of claim 12, (c) calculating a pattern bus correction coefficient based on a ratio of the accumulated bus traffic information and the first traffic information for a period of time, and correcting the bus traffic information with the calculated pattern bus correction coefficient to correct the pattern bus; Traffic information generation method further comprising the step of generating traffic information. The method of claim 13, (d) generating bus correction traffic information for each link by averaging a real-time bus correction coefficient and the pattern bus correction coefficient based on a set weight. The method of claim 14, and (e) generating single traffic information for each link from a sum calculated by assigning weighting rules to the bus correction traffic information for each link and the final traffic information of the first collected vehicle, respectively. The method according to any one of claims 13 to 15, Step (c) is the traffic information generation method, characterized in that for calculating the pattern bus correction coefficient based on the congestion degree of the bus traffic information.  The method according to any one of claims 13 to 15, In step (b), the real-time bus correction traffic information (

) Is

(here,

Is the real-time bus correction factor of the current period t,

Is the bus traffic information of the current period t). The method according to claim 14 or 15, In the step (c), the pattern bus correction traffic information (

) Is

(here,

Is the pattern bus correction factor for congestion c,

Is the bus traffic information of the current period t). The method according to claim 14 or 15, The bus correction traffic information for each link is (

) Is

(here,

Weights for calibrated pattern bus traffic information,

Is the real-time bus correction factor of the current period t,

Is the pattern bus correction factor of congestion c,

Is the bus traffic information of the current period t). The method of claim 19, Single traffic information per link (

) Is

(Where v is the traffic collector, including the bus,

Is the number of raw collection traffic for collector v in the current cycle t,

Is the final traffic information of the collector v). In the traffic information generation method for generating the traffic information provided to the user terminal, (a) receiving first traffic information transmitted from a first collecting vehicle reflecting a flow of bus traffic information and general traffic information transmitted from a bus; (b) calculating a real-time bus correction coefficient based on a ratio of the bus traffic information and the first traffic information for a predetermined period, and correcting the bus traffic information with the calculated real-time bus correction coefficient to obtain real-time bus correction traffic information. Generating; And and (c) generating the real-time bus correction traffic information as single traffic information per link. In the traffic information generation method for generating the traffic information provided to the user terminal, (a) receiving first traffic information transmitted from a first collecting vehicle reflecting a flow of bus traffic information and general traffic information transmitted from a bus; (b) calculating a pattern bus correction coefficient based on a ratio of the bus traffic information accumulated in a predetermined period and the first traffic information, and correcting the bus traffic information using the calculated pattern bus correction coefficient to correct the pattern bus. Generating traffic information; And and (c) generating the pattern bus corrected traffic information as single traffic information for each link.

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