KR20100048279A - Method and system of driving safety index computing - Google Patents

Abstract

PURPOSE: A system and a method for calculating a safety index which is related to vehicle operation are provided to offer more accurate safety index by measuring the safety index in various aspects and to prevent traffic accidents by making a driver recognize the exposure to a dangerous accident using the safety index. CONSTITUTION: A system for calculating a safety index which is related to the vehicle operation comprises: a plurality of information units(100-400) which produce an accident danger index corresponding to characteristic information and fatigue information of a driver and traffic accident statistic information; a safety index output unit(500) which produces the safety index on the basis of the produced accident danger index and decides a class corresponding to the produced safety index; an alarming unit(600) which outputs a warning message to the driver when the decided class does not correspond to a standard class; and a display unit(700) which displays the produced safety index in real time.

Description

Safety index calculation system and method thereof related to vehicle driving {Method and system of driving safety index computing}

The present invention relates to a safety index calculation system and its method related to vehicle operation.

The present invention is derived from the research conducted as part of the IT growth engine technology development project of the Ministry of Knowledge Economy and the Ministry of Information and Communication Research and Development. [Task management number: 2007-S-025-02, Title: VDMS (Vehicle & Driver Management System) ) Technology development].

As vehicles become more popular and depend on them, traffic accidents are increasing. Therefore, to solve this problem, it is necessary to develop a technology of a system that can measure a driver's safety index and warn when necessary.

The driver is potentially exposed to an accident while driving the vehicle. When analyzing traffic accident statistics, the month of May has a higher number of accidents than other months, whereas the fatality rate in the winter months is higher than in other seasons. That is, the risk of accidents when driving in summer and driving in winter is different.

Basically, accident risk is estimated based on traffic accident statistical information. However, if the accident risk is calculated only by considering the driving time, the accident risk becomes unreliable. In addition, the risk of an accident varies greatly depending on the driver's driving habits and experiences. However, it is not possible to predict the exact risk of accidents in all cases.

The technical problem to be achieved by the present invention is to measure the safety index when driving the vehicle in various aspects, to provide information to the driver based on the measurement results.

According to one aspect of the present invention, the safety index calculation system related to the vehicle driving calculates the accident risk corresponding to at least one of the driving information, the driver's characteristic information and the driver's fatigue information and the traffic risk statistical information A safety index calculation unit for calculating a safety index for driving based on a plurality of information units, the calculated risk of accident, and determining a grade corresponding to the calculated safety index among the plurality of grades, the determined grade does not correspond to the set standard grade In this case, it includes a warning unit for outputting a warning message to the driver and a display unit for displaying the calculated safety index in real time.

According to another feature of the present invention, the safety index calculation method related to the vehicle operation is collected traffic accident statistics information, driving information, driver characteristic information and driver fatigue information, driving information, driver characteristic information and driver fatigue Calculating the accident risk corresponding to at least one of the information and the accident risk corresponding to the traffic accident statistical information, calculating the safety index which is the overall accident risk based on the calculated accident risk, and the safety index So that the display in real time.

According to an embodiment of the present invention, by measuring the safety index when driving the vehicle of various aspects, it is possible to provide a more accurate safety index to the driver. In addition, the driver can prevent traffic accidents by noticing that they are exposed to an accident risk without knowing it.

DETAILED DESCRIPTION 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.

Throughout the specification, when a part is said to "include" a certain component, it means that it can further include other components, without excluding other components unless specifically stated otherwise. In addition, the terms “… unit”, “… unit”, “module”, and the like described in the specification mean a unit that processes at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software. Can be.

Hereinafter, a safety index calculation system and a method related to driving a vehicle according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram schematically illustrating a system for calculating a safety index related to driving a vehicle according to an exemplary embodiment of the present invention.

First, the safety index calculation system according to an embodiment of the present invention may be a system provided by the driver of the vehicle or a system attached to the inside of the vehicle.

As shown in FIG. 1, the safety index calculation system includes a first information unit 100, a second information unit 200, a third information unit 300, a fourth information unit 400, a safety index calculation unit 500, and a warning unit. And a display unit 700.

The first information unit 100 analyzes the traffic accident statistical information, and calculates a first accident risk corresponding to the traffic accident statistical information based on the analysis result. Here, the traffic accident statistics information includes the number of traffic accident occurrences by the past driving time (for example, monthly, daily, hourly), the number of deaths in case of a traffic accident, the number of injured persons, the fatality rate, and the like.

In detail, the first information unit 100 standardizes the number of accident occurrences, the number of deaths, the number of injuries, and the fatality rate for each driving time.

Table 1 shows an example of standardization of monthly traffic accident statistics information according to an embodiment of the present invention.

Here, as the number of accident occurrences, deaths, injuries, and fatalities by driving time becomes negative, the risk of accidents is relatively low, and as the number increases, the risk of accidents increases. In this way, the relative accident risks can be easily calculated on a monthly basis, based on the standardized number of accidents, deaths, injuries, and fatalities by driving time.

In addition, the first information unit 100 adds standardized traffic accident statistics information. That is, when the sum of the standardized values of traffic accident statistics information has a negative value, the difference between the minimum value and the default value of the standardized traffic accident statistics information is obtained, and the minimum value is transformed to the default value (0), The rest of the standardized traffic accident statistics except for the minimum value are converted based on the difference. Through this, negative values can be removed from the standardized traffic accident statistics. The first information unit 100 calculates a first accident risk corresponding to traffic accident statistical information by using the converted results.

The second information unit 200 analyzes driving information including a speed, a vehicle traveling direction, a vehicle position, and the like collected from the vehicle in which the driver is currently driving, and calculates a second accident risk based on the analysis result.

In detail, the second information unit 200 calculates a relative accident risk corresponding to the speed of the vehicle by analyzing the speed of the vehicle based on the speed limit of the vehicle. Algorithms for calculating the relative risk based on the speed of the vehicle according to an embodiment of the present invention have already been known because of a lot of research in traffic engineering, detailed description thereof will be omitted here.

The second information unit 200 calculates a relative accident risk for each of the straight and curved sections from the information on whether the vehicle is traveling on a straight road or a curved road through the traveling direction of the vehicle. In addition, the second information unit 200 calculates an accident risk level corresponding to the driving direction of the vehicle according to whether the vehicle passes through an accident-prone area or a safety section through traffic accident statistical information corresponding to the location of the vehicle. . Next, the second accident risk corresponding to the driving information of the vehicle is calculated by using each accident risk corresponding to the speed of the vehicle, the vehicle traveling direction, and the vehicle position. The second information unit 200 according to an exemplary embodiment of the present invention may acquire driving information of a vehicle in operation through a GPS (Global Positioning System) or an in-vehicle network system installed in a vehicle (not shown). Since a method of acquiring driving information of the vehicle is known in the art, a detailed description thereof will be omitted.

The third information unit 300 analyzes the driver characteristic information and calculates a third accident risk based on the analysis result. Here, the driver characteristic information includes accident statistics data for each gender and age of the driver. Specifically, the third information unit 300 calculates the accident risk corresponding to the driver's gender from gender accident statistics data, and calculates the accident risk corresponding to the driver's age from the accident statistics by age. Next, the third information unit 300 calculates a third accident risk corresponding to the driver characteristic information by using each calculated accident risk.

The fourth information unit 400 monitors the driving behavior of the driver and calculates a fourth accident risk based on the monitoring result, that is, the fatigue information of the driver. Specifically, the fourth information unit 400 detects the number of blinks of the driver through a separate device (not shown) such as a sensor, and determines whether the driver is in a tired state based on the detected number of blinks. In addition, the driving time is measured from the time when the driver turns on the vehicle to calculate an accident risk corresponding to the driving time. Next, the fourth information unit 400 calculates a fourth accident risk corresponding to the driver's driving behavior by using each calculated accident risk.

The safety index calculator 500 calculates a relative total risk of accident, that is, safety index, based on the first to fourth accident risks transmitted from the first information unit 100 to the fourth information unit 400. For example, the safety index is calculated by multiplying the first accident risk to the fourth accident risk.

In addition, the safety index calculation unit 500 determines the water supply corresponding to the safety index. For example, the water supply is classified from the safest 1st grade to the 5th most dangerous situation where a traffic accident can occur based on the safety index, and determines which grade is the calculated safety index.

The warning unit 600 outputs a warning message to the driver when the water supply received from the safety index calculation unit 500 does not correspond to the set reference level. For example, when the safety index is divided into 1 grade and 5 grades, the warning unit 600 outputs a warning message to the driver when the result of the safety index calculation unit 500 is 4 grades to 5 grades.

The display unit 700 displays the safety index received from the safety index calculator 500 in real time, and provides the driver with accident risk information about driving of the vehicle.

Next, a method of calculating a safety index related to driving a vehicle according to an embodiment of the present invention will be described in detail with reference to FIG. 2.

2 is a flowchart illustrating a method of calculating a safety index related to driving a vehicle according to an exemplary embodiment of the present invention.

First, the safety index calculation system calculates a first accident risk, a second accident risk, a third accident risk, and a fourth accident risk corresponding to traffic accident statistics information, vehicle driving information, driver characteristic information, and driver fatigue information, respectively. It calculates (S10).

The safety index calculation system calculates the overall accident risk by multiplying the calculated first accident risk to the fourth accident risk (S20). The overall accident risk according to the embodiment of the present invention, that is, the water supply corresponding to the safety index is divided into a plurality of grades in stages, but is not limited thereto. Here, the water supply corresponding to the safety index is separated from the 1st class driving the vehicle safely to the 5th class driving the vehicle most dangerously.

The safety index calculation system outputs a warning message when the generated water supply does not correspond to the set reference level (S30). In addition, the safety index calculation system displays the calculated total accident risk, that is, the safety index in real time to provide the driver with accident risk information on the vehicle operation (S40).

According to an embodiment of the present invention, a method of calculating a safety index related to driving a vehicle may determine a major accident factor in terms of danger in driving, and define a risk of an accident according to each factor to induce a driver to drive safely. .

Next, a method of calculating an accident risk corresponding to traffic accident statistical information related to driving a vehicle according to an embodiment of the present invention will be described in detail with reference to FIG. 3.

3 is a flowchart illustrating a method of calculating an accident risk corresponding to traffic accident statistics information related to driving a vehicle according to an exemplary embodiment of the present invention.

First, the first information unit 100 collects traffic accident statistical information including the number of accident occurrences, the number of deaths, the number of injuries, the fatality rate, etc. by driving time (for example, monthly, daily, hourly) (S101). Method for collecting traffic accident statistics information according to an embodiment of the present invention is already known in the art, so a detailed description thereof will be omitted.

The first information unit 100 standardizes the collected traffic accident statistics information as shown in Table 1 (S102). In addition, the standardized traffic accident statistics information is added (S103). In this case, weights may be added to predetermined traffic accident statistics information among the standardized traffic accident statistics information as shown in Equation 1, for example, and may be summed as follows.

Traffic accident statistics

= Number of accidents * 0.2 + deaths * 0.2 + number of injured * 0.3 + lethality * 0.3

As a result of standardizing traffic accident statistics information, traffic accident statistics information having a negative value may exist. At this time, the first information unit 100 obtains the difference between the minimum value and the default value among the values of the standardized traffic accident statistics information, and converts the minimum value to the default value (here, the default value is "0") (S104). Further, by using the difference between the obtained minimum value and the default value, the values of the standardized traffic accident statistics information except for the standardized traffic accident statistics information having the minimum value are also converted to the same ratio.

The first information unit 100 calculates a first accident risk corresponding to traffic accident statistical information by using the sum of the standardized traffic accident statistical information or the standardized traffic accident statistical information that is added (S105).

Next, a method of calculating an accident risk corresponding to driving information related to driving a vehicle according to an exemplary embodiment of the present invention will be described in detail with reference to FIG. 4.

4 is a flowchart illustrating a method of calculating an accident risk corresponding to driving information related to driving a vehicle according to an exemplary embodiment of the present invention.

First, the second information unit 200 collects driving information including a speed, a vehicle traveling direction, a vehicle position, and the like, collected from a vehicle in which the driver is driving (S201). The second information unit 200 calculates a relative accident risk corresponding to the speed of the vehicle by comparing the speed of the vehicle with the speed limit in the driving information (S202). In addition, the second information unit 200 calculates a relative accident risk corresponding to the straight road or the curved road by analyzing the vehicle traveling direction (S203).

Next, the second information unit 200 calculates a second accident risk corresponding to the driving information by multiplying the calculated relative accident risks (S204).

Next, a method of calculating an accident risk corresponding to driver characteristic information when driving a vehicle according to an exemplary embodiment of the present invention will be described in detail with reference to FIG. 5.

5 is a flowchart illustrating a method of calculating an accident risk corresponding to driver characteristic information when driving a vehicle according to an exemplary embodiment of the present invention.

First, the third information unit 300 collects driver characteristic information including accident statistics data for each gender and age (S301). The third information unit 200 calculates an accident risk corresponding to the driver's gender using the driver's gender accident statistics data among the driver's characteristic information (S302). In addition, the accident risk corresponding to the driver's age is calculated using the driver's age-specific accident statistical data (S303).

The third information unit 200 calculates a third accident risk corresponding to the driver characteristic information by multiplying the calculated accident risks (S304).

Next, a method of calculating an accident risk corresponding to driver fatigue information related to driving a vehicle according to an exemplary embodiment of the present invention will be described in detail with reference to FIG. 6.

6 is a flowchart illustrating an accident risk calculation method corresponding to driver fatigue information related to driving a vehicle according to an exemplary embodiment of the present invention.

First, the fourth information unit 400 collects driver fatigue information by analyzing a driver's driving behavior (S401). Here, the driving behavior of the driver includes the number of blinks of the driver's eyes during the driving of the vehicle, the driving time of the driver, etc. from the time when the driver turns on the vehicle. In addition, the vehicle running time includes a time from when the vehicle is turned on to when the vehicle is turned off to when the vehicle moves without stopping.

The fourth information unit 400 detects the number of blinks of the driver and calculates a relative accident risk corresponding to the number of blinks (S402). In addition, the relative accident risk corresponding to the running time is calculated (S403). At this time, the accident risk for each section corresponding to 30 minutes, 1 hour 30 minutes, 2 hours, 2 hours or more can be calculated from the time of turning on the start.

Table 2 shows an example of the results of a traffic accident probability published by Tucker in 2003 for continuous driving hours.

As shown in Table 2, when the driver drives continuously, the driver is exposed to a relative risk of about 2.08 times when 1 hour and 30 minutes have elapsed compared to the first 30 minutes of driving. In addition, the relative risk of accidents has increased by 1, 1.33, 1.71, and 2.08 times over time.

The fourth information unit 400 calculates a fourth accident risk by multiplying the relative accident risk corresponding to the number of blinks by the relative accident risk corresponding to the calculated driving time (S404).

The embodiments of the present invention described above are not only implemented by the apparatus and method but may be implemented through a program for realizing the function corresponding to the configuration of the embodiment of the present invention or a recording medium on which the program is recorded, The embodiments can be easily implemented by those skilled in the art from the description of the embodiments described above.

Although the 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.

1 is a block diagram schematically illustrating a system for calculating a safety index when driving a vehicle according to an exemplary embodiment of the present invention.

2 is a flowchart illustrating a method of calculating a safety index when driving a vehicle according to an exemplary embodiment of the present invention.

3 is a flowchart illustrating an accident risk calculation method corresponding to traffic accident statistical information when a vehicle is driven according to an exemplary embodiment of the present invention.

4 is a flowchart illustrating a method of calculating an accident risk corresponding to driving information when driving a vehicle according to an exemplary embodiment of the present invention.

5 is a flowchart illustrating a method of calculating an accident risk corresponding to driver characteristic information when driving a vehicle according to an exemplary embodiment of the present invention.

6 is a flowchart illustrating a method of calculating an accident risk corresponding to driver fatigue information when driving a vehicle according to an exemplary embodiment of the present invention.

Claims (10)

A plurality of information units configured to calculate an accident risk corresponding to at least one of driving information, driver characteristic information, and driver fatigue information and accident risk corresponding to traffic accident statistical information; A safety index calculator configured to calculate a safety index for driving based on the calculated accident risks and determine a class corresponding to the calculated safety index among a plurality of grades; A warning unit for outputting a warning message to the driver when the determined grade does not correspond to the set reference grade; And Display unit for displaying the calculated safety index in real time Comprising a safety index calculation system related to the vehicle running. The method of claim 1, The plurality of information units And a first information unit for calculating a first accident risk by standardizing the number of accident occurrences, the number of deaths, the number of injured persons, and the fatality rate for each driving time period included in the traffic accident statistics information. A second information unit configured to calculate a second accident risk based on a speed of a running vehicle included in the driving information, a shape of a driving road determined based on a driving direction of the vehicle, and a position of the vehicle; A third information unit configured to calculate a third accident risk based on accident statistics data corresponding to the gender of the driver included in the characteristic information of the driver and accident statistics data corresponding to the age of the driver; And A fourth information unit configured to calculate a fourth accident risk based on the number of blinks of the driver and the driving time included in the fatigue information of the driver The safety index calculation system further comprises at least one of the vehicle running. The method of claim 2, The first information unit If there is a negative value among the standardized result values of the traffic accident statistics, the minimum value of the standardized result value is converted to a default value of '0', and the standardized result value except for the minimum value among the standardized result values. Safety index calculation system for driving a vehicle, which converts them by a difference between a minimum value and the default value. The method of claim 2, The safety index calculation unit And calculating the safety index by multiplying the first accident risk, the second accident risk, the third accident risk, and the fourth accident risk. Collecting traffic accident statistics information, driving information, driver characteristic information, and driver fatigue information; Calculating an accident risk corresponding to at least one of driving information, driver characteristic information, and driver fatigue information and accident risk corresponding to traffic accident statistical information; Calculating a safety index which is an overall accident risk based on the calculated accident risks; And Displaying the safety index in real time for the driver to see; Safety index calculation method associated with driving the vehicle comprising a. The method of claim 5, The step of calculating the safety index Determining a grade corresponding to the safety index; Determining whether the determined grade corresponds to a set reference grade; And If the class does not correspond to the standard class, warning the driver of a traffic accident risk Safety index calculation method associated with driving the vehicle comprising a. The method of claim 5, Computing the risk of each accident Calculating a first accident risk corresponding to the traffic accident statistical information including the number of accident occurrences, the number of deaths, the number of injuries, and the fatality rate for each driving time; Calculating a second accident risk corresponding to the driving information, the driving information including a shape and a location of a driving road determined based on a speed of a vehicle in which the vehicle is running and a driving direction of the vehicle; Calculating a third accident risk corresponding to the characteristic information of the driver including gender accident statistics data and age-specific accident statistics data; And Calculating a fourth accident risk corresponding to the driver's fatigue information including the number of blinks of the driver and the driving time; Safety index calculation method associated with driving the vehicle comprising a. The method of claim 7, wherein The step of calculating the first accident risk is Standardizing the number of accident occurrences, the number of deaths, the number of injuries, and the fatality rate for each driving time; And Summing the normalized result values by adding different weights to each other; Safety index calculation method associated with driving the vehicle comprising a. The method of claim 7, wherein The calculating of the second accident risk is Calculating an accident risk corresponding to the speed of the vehicle by comparing the speed of the vehicle and the set speed limit; Calculating an accident risk corresponding to a straight road or a curved road by analyzing a shape of a driving road identified based on a moving direction of the vehicle; And Calculating the second accident risk by multiplying the calculated accident risks Safety index calculation method associated with driving the vehicle comprising a. The method of claim 7, wherein Calculating the fourth accident risk Calculating an accident risk corresponding to the number of blinks of the driver by comparing the number of blinks of the driver with a set basic number of blinks of the driver; Calculating an accident risk corresponding to the driving time by analyzing the driving time based on the time from when the vehicle is started to turned off; Calculating the fourth accident risk by multiplying the calculated accident risks Safety index calculation method associated with driving the vehicle comprising a.

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