KR102268134B1 - Apparatus and method for warning vehicle collision by using mobile data and infra data - Google Patents

Abstract

A vehicle collision warning device using mobile data and infrastructure data according to the present invention includes an infrastructure data collection unit that collects road traffic information and road section accident information from infrastructure and stores it in a database, and a vehicle-mounted mobile terminal from the vehicle. A mobile data collection unit that collects driving information and stores it in the database, and an accident risk calculation unit for each road section that calculates the accident risk for each road section based on the traffic information stored in the database, accident information for each road section, and vehicle operation information and an infrastructure data transmission unit for transmitting the calculated accident risk for each road section to the infrastructure for external expression, and converting the traffic information stored in the database and the accident information for each road section into mobile terminal-based traffic data and a mobile data transmission unit for transmitting the converted traffic data to the portable terminal, wherein the portable terminal calculates the risk of a vehicle accident based on the received traffic data and the vehicle operation information, , it is possible to audiovisually express the calculated vehicle accident risk.

Description

Vehicle collision warning device and method using mobile data and infrastructure data {APPARATUS AND METHOD FOR WARNING VEHICLE COLLISION BY USING MOBILE DATA AND INFRA DATA}

The present invention relates to a vehicle collision warning technique, and more particularly, mobile data suitable for real-time warning of a vehicle collision using mobile data collected from a vehicle-mounted mobile terminal and infrastructure data collected from road infrastructure. and a vehicle collision warning device using infrastructure data and a method therefor.

As is well known, a collision warning system based on a sensor mounted on a vehicle (vehicle) has a limit in completely preventing a vehicle collision since a distance that can detect a preceding vehicle is relatively short.

In order to solve this limitation, it is necessary to make the detection distance with the preceding vehicle relatively long. For this, there is a problem that an expensive sensor must be installed, and the reality is that such an expensive sensor also has a limit in reliability.

Therefore, as a method to supplement the limitations of the sensor-based collision warning system, a collision warning system based on vehicle-to-vehicle communication has been proposed as an advanced version.

However, the collision warning system based on vehicle-to-vehicle communication still has limitations such as the accuracy of the transmitted location, the negative effect of the surrounding terrain, the requirement of a relatively high market share, and the relatively high price.

In general, the risk of a traffic accident has a close relationship with the traffic flow of the section to which the vehicle belongs, along with the relationship between the adjacent preceding vehicle and the corresponding vehicle. However, the conventional collision warning system does not consider these traffic engineering characteristics, so there is a problem in that the accuracy is lowered, and thus there is a problem in that the user's trust in the system is relatively low.

Republic of Korea Patent Publication No. 2013-0007243 (Announcement Date: 2013. 01. 18.)

The present invention calculates the accident risk for each road section based on road traffic information and road section accident information collected from infrastructure, and vehicle operation information collected from a vehicle-mounted mobile terminal, and then expresses it through the infrastructure, We propose a vehicle collision warning method using mobile data and infrastructure data that can be displayed audiovisually through a portable terminal after calculating the risk of a vehicle accident based on traffic information, accident information for each road section, and vehicle operation information.

The problem to be solved by the present invention is not limited to those mentioned above, and another problem to be solved that is not mentioned can be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. will be.

According to one aspect, the present invention includes an infrastructure data collection unit that collects road traffic information and accident information for each road section from the infrastructure and stores it in a database, and collects vehicle operation information from a vehicle-mounted portable terminal and stores it in the database. A mobile data collection unit to store, an accident risk calculation unit for each road section that calculates the accident risk for each road section based on the traffic information stored in the database, accident information for each road section, and vehicle operation information, and for expression to the outside An infrastructure data transmitter for transmitting the calculated accident risk for each road section to the infrastructure, a traffic data converter for converting traffic information stored in the database and accident information for each road section into portable terminal-based traffic data; and a mobile data transmission unit for transmitting the traffic data to the portable terminal, wherein the portable terminal calculates a vehicle accident risk based on the received traffic data and the vehicle operation information, and audiovisually displays the calculated vehicle accident risk It provides a vehicle collision warning device using mobile data and infrastructure data that are expressed in a negative way.

The mobile terminal of the present invention, before the expression of the risk of the vehicle accident, based on the accident risk for each road section received from the infrastructure and the calculated risk of the vehicle accident, a risk level error correction unit that removes an excessive or under-error error may include

According to another aspect, the present invention provides a process for collecting road traffic information and accident information for each road section from an infrastructure, a process for collecting vehicle operation information from a vehicle-mounted portable terminal, and the collected traffic information and road The process of calculating the accident risk for each road section based on the accident information for each section and vehicle operation information, the process of transmitting the calculated accident risk for each road section to the infrastructure and displaying the accident risk for each road section, and the traffic information and the accident by road section The process of converting information into mobile terminal-based traffic data and transmitting it to the mobile terminal, and calculating the risk of a vehicle accident based on the traffic information received by the mobile terminal, accident information for each road section, and vehicle operation information; , It provides a vehicle collision warning method using mobile data and infrastructure data including the process of audio-visually expressing the calculated vehicle accident risk by the portable terminal.

The present invention can effectively predict the risk of collision between vehicles by collecting infrastructure data from infrastructure and collecting mobile data from a vehicle-mounted mobile terminal to calculate the accident risk and vehicle accident risk for each road section, and through this, It can replace the collision warning system based on vehicle-to-vehicle communication, which causes high cost.

In addition, the present invention can further increase the efficiency and reliability of the vehicle collision warning system by calculating the accident risk by reflecting the increase/decrease of the accident risk of individual vehicles according to the characteristics of the traffic flow.

In addition, the present invention can be effectively used at the level of the road manager because it is possible to monitor the accident risk for each road section by calculating the accident risk for each section of the road, and at the same time, by warning the accident risk in the infrastructure, a high market share of related devices It has the advantage of not requiring

In addition, the present invention effectively reduces the load required for calculation in the server through a distributed method rather than a centralized method by utilizing a controller (CPU) mounted on a widely distributed mobile terminal, and at the same time, it is optimized for individual behaviors and vehicles. Accident risk can be calculated and serviced.

1 is a block diagram of a vehicle collision warning device using mobile data and infrastructure data according to the present invention.
2 is a flowchart illustrating a main process of real-time alerting of a vehicle collision using mobile data and infrastructure data according to the present invention.
3 is an exemplary diagram of a road section collision risk warning and monitoring screen.
4 is an exemplary view of an alert screen in which color changing equipment is installed at both ends of a road or in the center of the road.
5 is an exemplary view of an individual vehicle collision warning screen provided through a mobile terminal.

First, the advantages and features of the present invention, and a method for achieving them will become clear with reference to the embodiments described below in detail in conjunction with the accompanying drawings. Here, the present invention is not limited to the embodiments disclosed below, but may be implemented in a variety of different forms, and only these embodiments allow the disclosure of the present invention to be complete, and are common in the technical field to which the present invention pertains. The technical scope of the present invention should be defined by the claims since it is provided by way of example so that those with knowledge can clearly understand the scope of the invention.

In addition, in the following description of the present invention, if it is determined that a detailed description of a well-known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. And, the terms to be described later are terms defined in consideration of functions in the present invention, which may vary depending on the intentions or customs of users, operators, etc., of course. Therefore, the definition should be made based on the technical idea described throughout this specification.

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

1 is a block diagram of a vehicle collision warning device using mobile data and infrastructure data according to the present invention, and includes an infrastructure 110 , a cloud server (or collision control server) 120 , and a portable terminal 130 . may include

Referring to FIG. 1 , the infrastructure 110 may include, for example, a vehicle detector installed on the side of a road, a CCTV, and the like, and includes a traffic information collection unit 112 , an accident information collection unit 114 , and a risk error correction unit. (116) and may include a road section risk expression unit 118, and the like.

First, the traffic information collection unit 112 through a vehicle detector installed on the road (eg, a loop detector, a dedicated short range communication equipment, a toll payment system (Toll Collection System), etc.) Collects traffic information for each point and section of the road (eg, traffic volume, speed, occupancy, travel time between points, etc.) and transmits the collected traffic information to the cloud server 120 (eg, transmission using a wired/wireless network) etc.) can be provided.

In addition, the accident information collection unit 114, which may include CCTV installed around the road, collects accident information for each road section based on information such as a road user's report and vehicle detector, and this It is possible to provide a function such as transmitting the collected accident information for each road section to the cloud server (eg, transmission using a wired/wireless network, etc.). Here, the accident information for each road section may include, for example, the severity of the accident, the time of occurrence of the accident, the type of the accident vehicle, and the like.

Next, the risk error correcting unit 116 is over or under based on the accident risk for each road section transmitted from the cloud server 120 (wireless or wired transmission) and the vehicle accident risk transmitted and received from the mobile terminal 130 . It is possible to provide a function such as removing (correcting) the error and transmitting the accident risk for each road section from which the excessive or under-error has been removed to the road section risk level display unit 118 . Here, the specific content of correcting the excessive or under-error will be described in more detail when the risk error correction unit 135 in the portable terminal 130 is described later.

And, the road section risk expression unit 118 may mean an electric sign installed around the road, and the accident risk for each road section in which the excessive and under-error transmitted from the risk error correction unit 116 is corrected. Functions such as visual expression can be provided.

Here, the accident risk for each road section may be calculated based on, for example, traffic information, accident information for each road section, and vehicle operation information. As an example, as shown in FIG. 3 , the accident risk level for each section may be displayed on a display panel (eg, an advanced traffic information system (ATIS), a variable message sign, etc.).

In addition, as shown in FIG. 4 as an example, by installing additional equipment for accident warning (warning) on the road, an infrastructure-based warning, for example, at both ends of the road or the center of the road, as in FIG. 4 . By installing color-changing equipment and changing the color according to the calculated accident risk for each road section, it warns the driver to visually recognize the accident risk for each road section.

As described above, the reason for expressing the accident risk for each road section on the road based on the infrastructure is that when the accident risk is alerted using only individual equipment, it is difficult for drivers who do not own the equipment to alert the accident risk. Because.

In other words, when an accident risk is alerted using only individual equipment, accident-related information may be provided to some of the drivers on the same road section and accident-related information may not be provided to some of the drivers in this case. This is because the possibility of additional accidents may exist due to differences in driving behavior between the two groups.

Therefore, in order to prevent these side effects, road equipment capable of expressing (alarming) the risk of accidents for each road section is required regardless of the ownership of individual equipment.

Also. By making it possible to compare the risk of an individual user's accident and the risk of an accident in a road section, it is possible to understand the driving characteristics of individual drivers and to understand and guide how dangerously they are driving.

Meanwhile, the cloud server 120 may include a traffic control block 122 and a database 124 . The traffic control block 122 includes an infrastructure data collection unit 1221 , a mobile data collection unit 1222 , and traffic data. It may include a conversion unit 1223 , an accident risk calculation unit 1224 for each road section, an infrastructure data transmission unit 1225 , and a mobile data transmission unit 1226 , and the database 124 is a traffic information DB 1242 . , an accident history DB 1244 and a vehicle information DB 1246 , and the like.

First, the infrastructure data collection unit 1221 includes road traffic information (eg, traffic volume, speed, occupancy rate, inter-point) transmitted from the traffic information collection unit 112 and the accident information collection unit 114 in the infrastructure 110 , respectively. travel time, etc.) and accident information for each road section (eg, the severity of the accident, the time of occurrence of the accident, the type of the accident vehicle, etc.) are collected and stored in the traffic information DB 1242 and the accident history DB 1244 in the database 124 . A function such as saving each may be provided.

In addition, the mobile data collection unit 1222 collects vehicle operation information transmitted from a portable terminal mounted on a vehicle traveling on a road (ie, a portable terminal of a driver or a passenger), and the vehicle information DB 1246 in the database 124 . It can provide functions such as saving to . Here, the vehicle driving information may include, for example, velocity, acceleration, jerk rate, and the like.

Next, the traffic data conversion unit 1223 retrieves the traffic information stored in the traffic information DB 1242 in the database 124 and the accident information for each road section stored in the accident history DB 1244 and converts it into mobile terminal-based traffic data. It is possible to provide functions such as converting and transmitting the converted traffic data to the accident risk calculation unit 1224 and the mobile data transmission unit 1226 for each road section, respectively.

That is, since the data stored in the traffic information DB 1242 and the accident history DB 1244 are aggregated data for each section of the vehicle, for example, 30 seconds - 5 minutes, it is converted into information about individual vehicles. something is needed To this end, the traffic data conversion unit 1223 attempts to estimate information on individual vehicles based on the phenomenon that vehicles located in each section of the road are greatly affected by the traffic characteristics of each road section. Here, the data that needs to be converted is the speed of the vehicle in front and the acceleration of the vehicle in front, each of which can be calculated through Equations 1 and 2 below.

[Equation 1]

는 해당 차량의 선행 차량 속도의 추정치, 산출식을 통하여 산출하고자 하는 결과물을,

는 시간 t 에서의 해당 차량의 속도를,

는 교통 정보 DB와 사고 이력 DB에서 불러오는 정보로 해당 차량이 속한 도로 구간 i 의 평균 차량 간의 거리를,

는 교통 정보 DB와 사고 이력 DB에서 불러오는 정보로 해당 차량이 속한 구간인 도로 구간 i 에서의 평균 속도를,

는 교통 정보 DB와 사고 이력 DB에서 불러오는 정보로 해당 차량이 속한 구간의 하류부인 도로 구간 i+1 에서의 평균 속도를,

는 해당 차량이 속한 도로 구간 i 의 구간 길이(km)를 각각 나타낸다.In Equation 1 above,

is the result to be calculated through the estimation and calculation formula of the preceding vehicle speed of the vehicle,

is the speed of the vehicle at time t,

is the information retrieved from the traffic information DB and the accident history DB, and is the average distance between vehicles in the road section i to which the vehicle belongs,

The average speed of the traffic information DB and DB Loading accident history information is the vehicle of the road segment belongs to in section i,

The average speed of the traffic information DB and the downstream section of the road section belongs to the vehicle loading information from the accident history DB i +1,

denotes the section length (km) of the road section i to which the corresponding vehicle belongs.

[Equation 2]

는 해당 차량의 선행 차량 가속도의 추정치, 산출식을 통하여 산출하고자 하는 결과물을, α는 교통 정보 DB와 사고 이력 DB에서 불러오는 속도 정보를 해당 차량의 선행 차량에 대한 가속도 추정치로 변환시키기 위한 계수(coefficient)로써 각 도로 구간별로 산출되는데, 통상 0.01 - 0.5 사이에서 분포하고 있다.In Equation 2 above,

is an estimate of the acceleration of the preceding vehicle of the corresponding vehicle, the result to be calculated through the calculation formula, and α is a coefficient for converting the speed information retrieved from the traffic information DB and the accident history DB into an acceleration estimate for the preceding vehicle ), calculated for each road section, and is usually distributed between 0.01 - 0.5.

In addition, the accident risk calculation unit 1223 for each road section is stored in the traffic information DB 1342 in the database 134 and the accident information and vehicle information DB 1346 for each road section stored in the accident history DB 1344. It is possible to provide a function such as calculating the accident risk for each road section based on the stored vehicle operation information.

To this end, the accident risk calculation unit 1223 for each road section may estimate the accident risk for each section i through Equation 3 as follows, based on Equations 1 and 2 described above.

[Equation 3]

는 해당 차량이 속한 도로 구간 i 에서의 해당 차량이 사고를 피하기 위해서 필요한 평균적인 감속량을,

는 해당 차량이 속한 도로 구간 i 에 위치한 차량들의 평균적인 감속 능력을,

는 해당 차량이 속한 도로 구간 i 에 위치한 차량들의 평균 속도를,

는 해당 차량이 속한 도로의 하류부인 도로 구간 i+1에 위치한 차량들의 평균 속도를,

는 산출식을 기반으로 하여 산출된 정보로 해당 차량이 속한 도로 구간 i 에 위치한 차량들의 평균 가속도를,

는 산출식을 기반으로 하여 산출된 정보로 해당 차량이 속한 도로의 하류부인 도로 구간 i+1에 위치한 차량들의 평균 가속도를, τ는 운전자들의 평균적인 응답시간을,

는 해당 차량이 속한 도로 구간 i 에 위치한 차량들의 평균적인 차간 거리를, J는 해당 차량이 속한 도로 구간 i 에 위치한 차량들의 가속도 변화 가능량의 최대값을,

는 해당 차량이 속한 도로 구간 i 의 평균 사고 위험도를 각각 나타낸다.In Equation 3 above,

is the average amount of deceleration required for the vehicle in the road section i to which the vehicle belongs to avoid an accident,

is the average deceleration capacity of vehicles located in the road segment i to which the vehicle belongs,

is the average speed of vehicles located in the road section i to which the vehicle belongs,

is the average speed of vehicles located in the road section i +1 downstream of the road to which the vehicle belongs,

is the information calculated based on the calculation formula, and represents the average acceleration of vehicles located in the road section i to which the vehicle belongs,

is the information calculated based on the calculation formula , where is the average acceleration of vehicles located in the road section i +1 downstream of the road to which the vehicle belongs, τ is the average response time of drivers,

Is the inter-vehicle distance of vehicle the average in the road link i is the vehicle belongs, J is the maximum available amount of the acceleration change of the vehicle in the road link i is the vehicle belongs,

represents the average accident risk of each road section i to which the vehicle belongs.

Then, the infrastructure data transmission unit 1224 modulates the accident risk level for each road section calculated through the road section accident risk calculation unit 1223 into a signal that can be transmitted over a wireless or wired network, and then transmits it to the infrastructure 110 (eg, , transmission using a wired/wireless network, etc.) can be provided.

Finally, the mobile data transmission unit 1226 modulates the converted traffic data (ie, the speed of the vehicle ahead, the acceleration of the vehicle in front) transmitted from the traffic data conversion unit 1223 into a signal that can be transmitted wirelessly, and then the mobile terminal 130 . It can provide functions such as sending to .

Meanwhile, the mobile terminal 130 includes a driving information collection unit 131 , a driving information storage unit 132 , a data transmitting and receiving unit 133 , an accident risk calculating unit 134 , a risk error correcting unit 135 , and an accident risk expression. part 136 , and the like. Here, the mobile terminal may mean, for example, a mobile phone, a smart phone, a PMP, a smart pad, a smart book, a tablet PC, a netbook, a notebook computer, and the like.

First, the driving information collecting unit 131 uses various sensors (eg, an accelerometer, a gravity sensor, a gyro sensor, etc.) mounted inside the portable terminal to provide driving information ( For example, it is possible to provide functions such as collecting velocity, acceleration, jerk rate, etc.) and storing the collected vehicle driving information in the driving information storage unit 132 .

In addition, the data transceiver 133 retrieves the vehicle driving information stored in the driving information storage unit 132 at a preset time interval (eg, tens of milliseconds to several seconds) or in real time to the cloud server 120 through a wireless network or the like. ), receives the traffic data transmitted from the cloud server 120 and transmits it to the accident risk calculation unit 134 , and transmits the vehicle accident risk transmitted from the accident risk calculation unit 134 to the infrastructure 110 . It can provide functions such as Here, the traffic data transmitted from the cloud server 120 may include, for example, the speed of the vehicle in front and the acceleration of the vehicle in front.

Next, the accident risk calculation unit 134 calculates the accident risk of the corresponding vehicle based on the traffic data provided from the cloud server 120 and the vehicle operation information stored in the operation information storage unit 132 , and this calculation It is possible to provide a function such as transmitting each of the vehicle accident risk to the risk error correcting unit 135 and the data transmitting and receiving unit 133 .

That is, the accident risk calculation unit 134 may calculate the accident risk for each vehicle through the following Equation 4 based on the speed of the vehicle in front and the acceleration of the vehicle in front calculated through Equations 1 and 2 described above. have.

[Equation 4]

는 해당 차량이 사고를 피하기 위해 필요한 감속량을,

는 해당 차량의 최대 감속 능력을,

는 해당 차량의 현재 속도를,

는 해당 차량의 현재 가속도를,

는 해당 차량의 가속도 최대 변화 가능량을,

는 해당 차량의 현재 사고 위험도를 각각 나타낸다.In Equation 4 above,

is the amount of deceleration required for the vehicle to avoid an accident,

is the maximum deceleration capacity of the vehicle,

is the current speed of the vehicle,

is the current acceleration of the vehicle,

is the maximum possible change in the vehicle's acceleration,

represents the current accident risk of the corresponding vehicle, respectively.

On the other hand, the risk error correcting unit 135 removes excessive or under-error based on the accident risk for each road section and the vehicle accident risk calculated through the accident risk calculation unit 134 transmitted and received from the infrastructure 110 ( correction), and transmits the vehicle accident risk from which the excessive or under-error has been removed to the accident risk level display unit 136 , and the like.

이고, 해당 차량이 속한 도로 구간의 사고 위험도를

이라고 할 때, 도로 구간에 있는 여러 차량들의

분포의 평균값과

의 값에 차이가 발생할 수 있는데, 이러한 차이는 과대 혹은 과소 산출된 몇몇의

에 의해서 발생하게 된다.In other words, the risk of an accident

and the risk of accidents in the road section to which the vehicle belongs

, the number of vehicles in the road section

the mean value of the distribution and

A difference may occur in the value of

is caused by

와

의 범위에 해당하지 않는 개별 차량의 사고 위험도는 제거한다. 여기에서 K는 도로의 구간에 속하여 있는 차량의 숫자를 나타낸다.Therefore, in the present invention, in order to remove

Wow

The risk of an individual vehicle accident that does not fall within the scope of Here, K represents the number of vehicles belonging to the section of the road.

Next, the accident risk expression unit 136 is audio-visually expressed by selectively combining the audio, display, light, etc. of the portable terminal for the vehicle accident risk in which the excessive and under-errors transmitted from the risk error correction unit 135 are corrected. It can provide functions such as As an example, an individual vehicle collision warning screen as shown in FIG. 5 may be displayed (visual collision warning) on the display panel of the portable terminal.

Next, a series of processes for providing a vehicle collision warning service using mobile data and infrastructure data using the vehicle collision warning device according to the present embodiment having the configuration as described above will be described in detail.

2 is a flowchart illustrating a main process of real-time alerting of a vehicle collision using mobile data and infrastructure data according to the present invention.

Referring to FIG. 2 , in the infrastructure data collection unit 1221 0 , traffic information on roads (eg, traffic volume, traffic information, traffic information, and traffic information, respectively, transmitted from the traffic information collection unit 112 and the accident information collection unit 114 in the infrastructure 110 ) Speed, occupancy, travel time between points, etc.) and accident information for each road section (eg, severity of accident, time of occurrence of accident, type of accident vehicle, etc.) are collected and stored in the traffic information DB 1242 (step 202) .

Also, the mobile data collection unit 1222 collects vehicle operation information transmitted from a portable terminal mounted on a vehicle traveling on the road and stores it in the vehicle information DB 1246 (step 204). Here, the vehicle driving information may include, for example, velocity, acceleration, jerk rate, and the like.

And, the traffic data conversion unit 1223 retrieves the traffic information stored in the traffic information DB 1242 and the accident information for each road section stored in the accident history DB 1244, and the mobile terminal-based traffic data (that is, the speed of the vehicle in front, acceleration of the vehicle in front) (step 206), and the converted traffic data is transmitted to the accident risk calculation unit 1224 and the mobile data transmission unit 1226 for each road section, respectively.

Next, in the accident risk calculation unit 1223 for each road section, the traffic information stored in the traffic information DB 1342 and the accident information for each road section stored in the accident history DB 1344 and vehicle operation information stored in the vehicle information DB 1346 After calculating the accident risk for each road section based on the , it is transmitted to the infrastructure 110 (step 208).

As a result, in the road section risk expression unit 118 in the infrastructure 110 , the accident risk for each road section received from the cloud server 120 , more specifically, excessive and under-error through the risk error correction unit 116 . The corrected degree of accident risk for each road section will be displayed visually (step 210).

Again, in the accident risk calculation unit 134 of the portable terminal 130 , the traffic data (speed of the vehicle in front, acceleration of the vehicle in front, etc.) provided from the cloud server 120 and the vehicle stored in the driving information storage unit 132 . An accident risk level of the corresponding vehicle is calculated based on the driving information (step 212). Here, the calculated vehicle accident risk may be transmitted to the infrastructure 110 .

Next, the risk error correcting unit 135 corrects (removes) excessive or under-error based on the accident risk for each road section received from the infrastructure 110 and the vehicle accident risk calculated through the accident risk calculation unit 134 . do (step 214).

As a result, the accident risk expression unit 136 selectively combines the audio, display, light, etc. of the portable terminal to display the vehicle accident risk corrected for the excessive and under-error transmitted from the risk error correcting unit 135 audio-visually. (Step 216).

The above description is merely illustrative of the technical idea of the present invention, and those of ordinary skill in the art to which the present invention pertains may make various substitutions, modifications, and changes within the scope not departing from the essential characteristics of the present invention. It will be easy to see that this is possible. That is, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments.

Accordingly, the protection scope of the present invention should be interpreted by the claims described below, and all technical ideas within the scope equivalent thereto should be interpreted as being included in the scope of the present invention.

Claims (3)

An infrastructure data collection unit that collects road traffic information and accident information for each road section from the infrastructure and stores it in a database;
a mobile data collection unit that collects vehicle operation information from a vehicle-mounted mobile terminal and stores it in the database;
an accident risk calculation unit for each road section that calculates the accident risk for each road section based on the traffic information stored in the database, accident information for each road section, and vehicle operation information;
an infrastructure data transmission unit for transmitting the accident risk for each road section calculated for expression to the outside to the infrastructure;
a traffic data conversion unit that converts traffic information stored in the database and accident information for each road section into mobile terminal-based traffic data;
Mobile data transmission unit for transmitting the converted traffic data to the mobile terminal
including,
The mobile terminal is
Calculating the risk of a vehicle accident based on the received traffic data and the vehicle operation information, and audiovisually expressing the calculated risk of vehicle accident,
Before the expression of the vehicle accident risk, the excessive or under-error is corrected based on the accident risk for each road section received from the infrastructure and the calculated vehicle accident risk.
Vehicle collision warning system using mobile data and infrastructure data. delete The process of collecting road traffic information and accident information for each road section from the infrastructure;
A process of collecting vehicle operation information from a vehicle-mounted mobile terminal;
The process of calculating the accident risk for each road section based on the collected traffic information, accident information for each road section, and vehicle operation information;
The process of transmitting and expressing the calculated accident risk for each road section to the infrastructure;
The process of converting the traffic information and accident information for each road section into mobile terminal-based traffic data and transmitting it to the mobile terminal;
A process of calculating the risk of a vehicle accident based on the traffic information received by the mobile terminal, accident information for each road section, and vehicle operation information;
Including the process of audio-visually expressing the calculated risk of the vehicle accident by the mobile terminal,
The mobile terminal corrects excessive or under-error based on the accident risk for each road section received from the infrastructure and the calculated vehicle accident risk before the vehicle accident risk is expressed. Vehicle collision using mobile data and infrastructure data alarm method.

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