KR101834275B1 - System and method for transmitting traffic safety information - Google Patents

Abstract

The present invention provides a system and a method for propagating traffic safety information, which maximize utility of a road weather information system which is installed in advance and can improve safety of a road user. The system for propagating traffic safety information according to the present invention comprises: at least one road weather information system installed on a road; at least one site detection server collecting measurement data by the road weather information system, and generating traffic safety information based on the collected measurement data; and an integrated management server receiving and managing the traffic safety information generated by the site detection server. The site detection server generates the traffic safety information including at least one among fog visibility caution information, heavy rainfall caution information, heavy snowfall caution information and road surface freezing caution information.

Description

TECHNICAL FIELD [0001] The present invention relates to a traffic safety information propagation system,

The present invention relates to a traffic safety information propagation system and method.

The conventional road weather information system (RWIS) is composed of various sensors and sensors installed on the roadside and provides roadside weather information through a directly connected electric signboard.

However, in spite of the existence of such a weather information system, it is very unusable to use it, and large accidents such as bridge bridges are constantly occurring.

For example, in a long bridge, a road weather information system including a visibility system for measuring a decrease in visibility due to fog, a variable message sign (VMS) for displaying visibility information to a driver, A fog damage prevention system is installed.

However, since the road signs and fog guidance lamps can be observed only by the driver's eyes, there is a problem that it is difficult to recognize an accident risk due to a sufficient safety distance because a short sight distance when actual fog occurs can be observed at an imminent dangerous area have.

In this regard, Korean Patent Laid-Open No. 10-2001-0016528 (entitled " GIS-based road weather information providing method and system ") discloses a road surface weather condition and roadside weather information collected through various sensors and sensors on the road side Information is integrated into a GIS-based database and used as statistical data.

The embodiment of the present invention provides a traffic safety information propagation system and method for maximizing utility of a pre-installed road weather information system by processing and propagating information collected by a road weather information system and improving the safety of road users I want to.

It should be understood, however, that the technical scope of the present invention is not limited to the above-described technical problems, and other technical problems may exist.

According to a first aspect of the present invention, there is provided a traffic safety information propagation system comprising: at least one road weather information system installed on a road; measurement data collected by the road weather information system; One or more scene detection servers for generating traffic safety information based on the collected measurement data, and an integrated management server for receiving and managing traffic safety information generated by the scene detection server. At this time, the site detection server generates the traffic safety information including at least one of fog visibility information, heavy rainfall information, heavy snowfall information, and road surface freezing information.

The on-site detection server calculates a visible distance based on a visible range calculated by reflecting a solar radiation correction factor, and a maximum speed limit adjusted according to the visible range, based on a corrective distance, which is a visibility measurement result calculated on the basis of the amount of moisture particles in the air, Information may be generated as the fog visual distance information or the snow storm information.

The solar radiation correction coefficient may be calculated based on the following equation to adjust the visible distance from the time when the solar radiation amount is measured as zero.

[Mathematical Expression]

Wherein the on-site detection server generates the corrected maximum speed limit information on rainstorm on the basis of the drainage performance information of the road and the rainfall intensity information of the measurement data, Based on the rainfall intensity information based on a time point at which the water discharge performance exceeds the water discharge performance, the maximum speed limitation information in which the speed is corrected for each of the plurality of sections.

The road is a bridge road, and the site detection server calculates the drainage performance of the road surface of the bridge road on the basis of the transverse slope information of the road surface, the slope information of the road surface, the drain hole interval and location information, the catchment information, and the shoulder specification information .

The on-site detection server may generate the snowfall information using a snowfall probability prediction algorithm that is set based on the atmospheric temperature and the road surface temperature among the measurement data as the snowfall sensor senses snowfall through the road weather information system.

Wherein the on-site detection server detects the road section in which the atmospheric temperature is the image of the measurement data for the road and the road surface temperature is below zero, using the measurement data, Wherein the road safety information generating unit generates, as the heavy snowfall information, that there is a possibility that road ice or black ice phenomenon may occur due to the road surface temperature due to the road surface temperature or the ratio of the snow or supercooled state.

Wherein the scene detection server detects a road section in which the atmospheric temperature of the road is zero and the road surface temperature is an image using the measurement data, The snowfall amount per hour may be calculated as the snowfall amount per time limit and the snowfall amount per hour may be corrected based on the result of the comparison between the calculated snowfall amount per hour and the transportation snow amount to generate the snowfall information.

Wherein the on-site detection server estimates the amount of snowfall per hour based on data measured by a visibility meter in the measurement data for a predetermined time from a point of time when the snowfall is sensed, The road surface snowfall amount may be calculated by reflecting the coefficient information calculated based on the pavement thickness of the detected road section and the specific heat information of the material of the road section on the road surface temperature.

The on-site detection server calculates the on-coming vehicle mounted amount based on the traffic volume, the traveling speed, and the traveling vehicle coefficient information of the vehicle acquired from the on-vehicle automatic transmission system, and when the amount of snowfall per hour is larger than the on- It is possible to generate the snowfall information by correcting the snowfall amount.

The site detection server senses occurrence of at least one of a rain rate and a frost using the measurement data as the road surface weather information system senses that the road surface temperature is below zero and uses a road surface freezing probability analysis algorithm Thereby generating the above-mentioned road surface freezing caution information.

The on-site detection server calculates a rainfall intensity contribution factor (W _f ), a rainfall probability probability index (I _f ), a road surface temperature contribution factor (W _r ), a road surface temperature probability It is possible to calculate the road surface freezing probability P _i due to the above ratio using the index I _r , the average wind speed contribution factor W _w and the average wind speed index I _w .

[Mathematical Expression]

The on-site detection server calculates an average wind speed contribution factor (W _w ), an average wind speed probability index (I _w ), a relative humidity contribution factor (W _r ), a relative humidity probability The road surface freezing probability P _i due to the frost can be calculated using the index I _r , the road surface temperature contribution factor W _r , and the road surface temperature probability index I _r .

[Mathematical Expression]

According to a second aspect of the present invention, there is provided a method for propagating traffic safety information, comprising the steps of: a site detection server collecting measurement data by a road weather information system; Generating traffic safety information by the field detection server based on the collected measurement data; And transmitting the generated traffic safety information to an integrated management server that receives and manages the generated traffic safety information, wherein the on-scene detection server includes at least one of a fog visual distance information, a heavy traffic information, a snowfall information, The traffic safety information including at least one of the traffic safety information.

According to any one of the above-mentioned objects of the present invention, the safety of the road user can be improved by maximizing the utility of the previously installed road weather information system.

In addition, by linking with navigation companies, traffic safety information can be improved by streamlining traffic safety information.

1 is a schematic view for explaining a traffic safety information propagation system according to an embodiment of the present invention.
2 is a view for explaining contents of generating fog visual distance information.
3 is a diagram for explaining contents of generating heavy rainfall information.
4 is a diagram for explaining contents of generating snowfall information. 5 is a view for explaining the maximum speed limitation information according to the snowfall information.
Fig. 6 is a diagram for explaining contents of generating road surface freezing caution information. Fig.
FIG. 7 is a diagram for explaining the occurrence probability index in a nonconditional condition. FIG.
8 is a diagram for explaining the occurrence probability index in the frost condition.
9 is a diagram for explaining the maximum speed limitation information according to the road surface freezing state information.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly explain the present invention in the drawings, parts not related to the description are omitted.

Whenever a component is referred to as "including" an element throughout the specification, it is to be understood that the element may include other elements, not the exclusion of any other element, unless the context clearly dictates otherwise.

1 is a schematic view for explaining a traffic safety information propagation system 1 according to an embodiment of the present invention.

The traffic safety information propagation system 1 according to an embodiment of the present invention includes a road weather information system (RWIS) 100, a field detection server 200, and an integrated management server 300.

At this time, the respective components shown in FIG. 1 may be connected through a network. The network refers to a connection structure in which information can be exchanged between each node such as terminals and servers. One example of such a network is a 3rd Generation Partnership Project (3GPP) network, a Long Term Evolution (LTE) , A WAN (Wide Area Network), a PAN (Personal Area Network), a Bluetooth (Bluetooth), a wireless LAN (Local Area Network) Network, satellite broadcast network, analog broadcast network, Digital Multimedia Broadcasting (DMB) network, WiFi, and the like.

The road weather information system 100 includes one or more roads such as an ordinary road or a bridge road, and may include at least one of a wind direction / anemometer, visibility system, hygrometer, road surface thermometer, atmospheric thermometer, . In addition, the road weather information system 100 may include various sensors capable of acquiring weather information in addition to the above-described configuration.

The site detection server 200 collects measurement data by the road weather information system 100 installed in the site matching with one or more road weather information systems 100 and generates traffic safety information based on the collected measurement data . At this time, the field detection server 200 may generate traffic safety information including at least one of fog visibility information, heavy rainfall information, heavy snowfall information, and road surface freezing information.

In addition, the field detection server 200 may analyze the risk of traffic safety information, generate maximum speed limitation information of the vehicle according to the grade according to the risk, or provide other warning messages differentially.

For example, the field server can automatically control the lighting brightness of the fog guidance lamp according to the risk level of the calculated fog visual distance information. And a warning message may be displayed on the road signs to differentiate according to the degree of the risk. In addition, when the specific risk factor of the traffic safety information exceeds the predetermined level, the notification message may be automatically transmitted to the manager or the driver.

The integrated management server 300 receives and manages traffic safety information generated by the field detection server 200. That is, the integrated management server 300 may collect the traffic safety information from the site detection server 200 located at each site, store the information in a database, and provide it to various users through the API.

At this time, the integrated management server 300 may store each measurement data and traffic safety information in a database based on date, time, place, numerical value, risk level, and the like.

date time Place Average wind speed Visible distance Frost freezing value Risk value Risk value Risk 17.09.03 05:21:11 oo bridge 15m / s caution 100m danger 5% usually .
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In addition, the API may be provided in the form of an Open API that can be used by various user layers such as a navigation service provider, an application developer, and a general user.

Meanwhile, the traffic safety radio wave system 1 according to an embodiment of the present invention can be applied to a vehicle, such as a PC, a tablet, a laptop, a mobile phone, a smart phone, a pad, a Smart watch, , And other mobile communication terminals, and the like.

Such an application may be installed in advance in the user terminal or the administrator terminal so that traffic safety information can be monitored in real time.

In addition, the operation status of the traffic safety information display device can be monitored through the administrator terminal, and a notification message such as a push message can be provided when the traffic safety information management standard is exceeded. In addition, the information can be quickly provided to the traffic safety information display device or the navigation service provider through the emergency notification function of the manager terminal for immediate traffic interruption in case of a disaster such as a traffic accident, a ship collision accident or a natural disaster.

1 may be implemented in hardware such as software or an FPGA (Field Programmable Gate Array) or ASIC (Application Specific Integrated Circuit), and may perform predetermined roles can do.

However, 'components' are not meant to be limited to software or hardware, and each component may be configured to reside on an addressable storage medium and configured to play one or more processors.

Thus, by way of example, an element may comprise components such as software components, object-oriented software components, class components and task components, processes, functions, attributes, procedures, Routines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables.

The components and functions provided within those components may be combined into a smaller number of components or further separated into additional components.

Hereinafter, traffic safety information generated in the traffic safety information propagation system 1 according to an embodiment of the present invention will be described in more detail with reference to FIG. 2 to FIG.

2 is a view for explaining contents of generating fog visual distance information.

According to the prior art, it is totally dependent on the visual distance calculation result calculated from the timekeeping system when fog occurs. The visual distance at this time is calculated by measuring the amount of laser backscattered back by the moisture particles in the air of the laser emitted from the visibility system do.

However, the actual driver's visual perception varies depending on the night, day, and cloudiness, and the conventional fog information system has not been corrected at all.

In particular, comparing night and morning, it is very difficult to identify anything other than a self-luminous object (eg, a fog line indicator) because it is an environment without sunlight in the case of nighttime, even if it is measured with the same concentration of fog from the visibility system. Scattering phenomenon is much worse in terms of securing visibility.

Therefore, in order to take safe driving measures such as speed reduction based on the visibility distance experienced by the actual driver, the visibility measurement results and the irradiation condition must be considered at the same time.

For this, the on-site detection server 200 according to an embodiment of the present invention calculates the on-off distance, which is the result of the visibility measurement calculated on the basis of the amount of moisture particles in the air among the measurement data by the road weather information system 100, The visual distance can be calculated by reflecting the correction coefficient. Then, the calculated visual distance and the maximum speed limit information adjusted according to the visual distance can be generated as fog visual distance information.

At this time, the solar radiation correction coefficient can be calculated using the following Equation 1 to adjust the visible distance from the time when the solar radiation amount is measured as zero.

[Equation 1]

2 (a) shows an embodiment of the radiation dose correction coefficient. Assuming that the nighttime is measured at a solar radiation amount of 0 as shown in FIG. 2 (c), the radiation correction coefficient is calculated to be 0.50, The distance is adjusted to 0.5 times. Assuming that the daylight is measured at 1000 as shown in FIG. 2 (c), the solar radiation correction coefficient is calculated to be 1.00 and corrected to the same visible distance as the visible distance measured by the time constant.

(B) of Figure 2 assuming a a diagram for illustrating an example of adjusting the minimum speed information by applying the solar radiation correction coefficient, the same time constant based measurement results, night than during the day (solar irradiation = 1000W / m ²⁾ ( Solar radiation = 0 W / m ² ), it is expected that the visible distance is corrected (irradiation correction coefficient, Cs = 0.5) and the maximum speed limit information is lowered.

Thus, in the case of the prior art, the visible distance is determined only by the correction distance. However, the embodiment of the present invention is characterized in that the factor that affects the actual visible distance of the driver is considered in addition to the moisture particle in the air as well as the irradiation condition , And by calculating the visual distance by reflecting the degree of each factor on the visual distance as a coefficient, it is possible to generate traffic safety information which is much similar to the actual driver's visual distance.

Next, with reference to FIG. 3, contents of generating traffic information as traffic safety information will be described.

3 is a diagram for explaining contents of generating heavy rainfall information.

Recently, there has been an increase in the frequency of heavy rainfall due to the rapid change of rainfall intensity. The roads are designed and constructed to have a transverse slope of 1.5 ~ 2.0% to be natural drainage. However, when the rainfall exceeds the drainage performance of the road surface, the rainfall becomes more than the drainage amount along the slope, Which increases the risk of slip accidents.

In addition, when determining the risk of accidents due to heavy rainfall, the performance of the bridge should be considered separately from the road surface drainage performance determined by the slope of the road surface. Exceeding the drainage performance of bridges can cause water to flood the entire bridge surface and pose a serious risk to vehicles moving at high speeds.

In addition to the phenomenon of menopausal phenomenon, splashes from the side lanes are instantly blurred from the windshield. On highways, because of the high driving speed, the distance traveled instantaneously is long, so it is only necessary to slow down to reduce the risk of accidents.

Especially, in the case of a bridge, there is a risk of leading to a major accident such as a collision or a fall out of a bridge in case of an accident because there is no shoulder. Damage to major members such as cables in special bridges may jeopardize the safety of the entire structure, the vehicles used and passengers.

However, in the event of a heavy rain, the driver is very careful about the functional operation of the vehicle, and it is difficult to recognize the risk of such an accident. In addition, water repellent coatings, which have recently been used recently, can prevent water droplets from forming on the windshields, allowing good visibility even during heavy rains. However, paradoxically, drivers do not recognize the need for deceleration, And the like. Therefore, in order to improve traffic safety during heavy traffic, a device that can remind driver's attention is needed.

However, at present, only a vague criterion of 20% deceleration operation is presented without taking into consideration the situation conditions such as rainfall during rainy days, and sufficient safety is not secured.

Accordingly, in one embodiment of the present invention, the site detection server 200 can generate the corrected maximum speed limit information at the time of rainstorming as rainfall information based on the drainage performance information of the road and the rainfall intensity information among the measurement data.

At this time, the site detection server 200 may generate the maximum speed limitation information in which the speed is corrected for each of the plurality of sections according to the rainfall intensity information based on the time when the rainfall amount according to the rainfall intensity information exceeds the drainage performance.

For example, when the rainfall intensity increases with time as shown in FIG. 3 (a), the risk of an accident increases because the water gradually increases on the road surface at a time point (A) when the amount of rainfall exceeds the drainage amount. 200 can generate the maximum speed limitation information in which the speed is corrected for each of a plurality of sections as shown in FIG. 3 (b) based on the point (A) at which the rainfall amount according to the rainfall intensity information exceeds the drainage performance.

That is, as shown in FIG. 3 (b), when the rain falls on a road of a speed limit of 100 km / h, the driver can not help but expect to travel at a speed of 80 km / h or less. However, according to an embodiment of the present invention, the maximum speed limitation information in which the speed is corrected for each of a plurality of sections is generated according to the rainfall intensity and the drainage performance information observed from the road weather information system 100, It is possible to provide appropriate maximum speed limit information.

In addition, the site detection server 200 can calculate the drainage performance of the road surface of the bridge road based on the transverse slope information for the bridge road, the slope information of the road surface, the interval and position information of the drainage hole, have.

As described above, an embodiment of the present invention automatically generates and propagates the traffic safety information in the form of an appropriate driving speed adjusted in consideration of the drainage performance of the road and the degree of rainfall, Can be reduced.

In addition, the maximum speed limit information adjusted according to the generated heavy rainfall information may be transmitted to the driver in association with the navigation service provider, the traffic light sign system, etc. in the form of traffic safety information API. In addition, the safety can be further enhanced by forcibly limiting the speed according to the adjusted maximum speed limit information in conjunction with the police unmanned intermittent camera.

Next, with reference to FIG. 4 and FIG. 5, a description will be given of the contents of generating the traffic safety information as the traffic information.

4 is a diagram for explaining contents of generating snowfall information. 5 is a view for explaining the maximum speed limitation information according to the snowfall information.

Heavy snow increases the risk of road accidents in the form of reduced visibility and slipping due to snow. However, as with other hazards, there is no means of conveying the information to the driver except for the traffic light signs, and even in the event of limited visibility, the efficiency of information transmission is reduced.

The traffic safety information propagation system 1 according to an embodiment of the present invention analyzes the risk factors caused by heavy snowfall using the measurement data of the road weather information system 100 and transmits the corresponding traffic safety information in the form of an API to a navigation service provider It is possible to effectively induce the safe driving of the driver by opening to the general user including the driver.

The traffic safety information propagation system 1 according to the embodiment of the present invention can generate the snowfall information by considering two factors.

First, the reduction of the visibility distance due to heavy snow can be generated using the same algorithm as the information of the visibility distance of the fog. That is, the field detection server 200 can calculate the visible distance by reflecting the solar radiation correction coefficient with respect to the corrective distance, which is the result of the visibility measurement, calculated based on the amount of moisture particles in the air in the measurement data. Then, the maximum speed limit information adjusted according to the corrected visible distance can be generated as the snowfall warning information.

Secondly, an embodiment of the present invention can generate heavy snowfall information corresponding to the risk of slip accident due to snowfall.

The snowing risk varies depending on weather conditions such as snowfall, road surface temperature, and atmospheric temperature, but may vary depending on the vehicle traffic volume, the traveling speed, the type and time of the snow removal performed.

Accordingly, the field detection server 200 according to an embodiment of the present invention detects the snowfall through the road weather information system 100, and calculates a snowfall probability prediction algorithm based on the atmospheric temperature and the road surface temperature among the measurement data Can be used to generate snowfall information.

4, when the snowfall is sensed according to the snowfall probability prediction algorithm (S410), the site detection server 200 collects relevant data and calculates the snowfall data based on the atmospheric temperature T _a and the road surface temperature T _r The category classification for predicting snowfall probability may be started (S420).

At this time, the site detection server 200 may detect a predetermined road section that satisfies a specific condition among the continuous road sections and generate snowfall information for the corresponding section. That is, an embodiment of the present invention can generate different snowfall information depending on the atmospheric temperature and the road surface temperature for a specific road section, rather than uniformly guiding the entire road section.

First, the scene detection server 200 can determine that there is no snowfall probability since the snow is immediately melted when the atmospheric temperature is T _a > 0 and the road surface temperature is the image T _r > 0 (S430).

Second, when the scene detection server 200 detects a road section having an image temperature (T _a > 0) and a road surface temperature of minus (T _r <0) among the measurement data for the road using the measurement data (S440), it is possible to generate, as the snowfall information, the possibility of the occurrence of road surface freezing or black ice phenomenon due to the ratio of snow or supercooled state to the detected road section according to the road surface temperature according to the snowfall probability prediction algorithm.

In other words, the scene detection server 200 can recognize that the sunrise occurs when the atmospheric temperature is image (T _a > 0) and the road surface temperature is at minus (T _r <0) It is judged that there is a great possibility that the snow or the supercooled state ratio of the snowfall or the supercooled state meets the road surface below freezing and rapidly freezes on the road surface freezing or black ice phenomenon.

If a Third, using the calibration data field detection server 200, the atmospheric temperature of the measurement data for the road <a (0 a road surface temperature image (T _r minus T _a)> detect the interval 0) (S450). The snowfall amount per hour obtained by subtracting the road surface snowfall amount per hour from the snowfall amount per hour is calculated according to the snowfall probability prediction algorithm, and the snowfall amount per hour is corrected based on the result of comparison between the calculated snowfall amount per hour Can be generated.

That is, when the ambient temperature is below zero (T _a < 0) and the road surface temperature is T _r > 0, the scene detection server 200 is set to sunset and the atmospheric temperature falls below zero. As shown in FIG. In this case, it is necessary to drop more snow than the amount of snow that melts and disappears due to the road surface holding the image.

In this way, scene detection server 200 to the road surface raised seolryang (C _r × T _r) per hour per hour snowfall (R _f) calculates a snowfall per hour (R _s). Since the in-situ detection server 200 can acquire inaccurate data when detecting the amount of snowfall per hour in the rainfall amount meter at the beginning of snowfall, the data detected by the visibility meter in the measurement data for a predetermined time from the point of time when snowfall is sensed The amount of snowfall per hour can be estimated based on the data measured by the rainfall gauge after a predetermined time, and the amount of snowfall per hour can be applied based on the data measured by the rainfall gauge.

In addition, the site detection server 200 calculates a coefficient (C _r ) for the road surface snowfall amount by reflecting the coefficient information calculated by the pavement thickness of the road section detected according to the road surface temperature and the specific heat information of the material of the road section can do.

In addition, the field detection server 200 calculates the traffic volume of the passing vehicle based on the traffic volume, the traveling speed and the traveling vehicle coefficient information acquired from the vehicle automatic weighing system (Weigh In Motion, WIM) If it is larger than the vehicle setting amount (R _v ), the snowfall amount (R _s ) per hour can be corrected to generate snowfall information.

That is, the field detection server 200 calculates the vehicle traffic volume V _v , the traveling speed and the traveling vehicle coefficient C _v to reflect the snow removing effect R _v due to vortex, engine heat, frictional heat, basis to calculate the units (R _v) of the snow-removing effect on, and it is determined that there is a risk when the calculated per hour, snowfall (R _s) is greater than the snow removal effect (R _v) slips due to the snow accident by multiplying the unit time estimated snowfall (R _a) can be calculated.

Finally, field detection server 200 when the air temperature is below zero (T _a <0) and the road surface temperature below zero (T _r <0) is (S460) above the road surface snow melting coefficient (C _r) that is zero The same procedure as the third one can generate snowfall information.

As the snowfall information is generated as described above, the site detection server 200 can generate the maximum speed limitation information in which the speed is corrected for each of the plurality of sections based on the snowfall information as shown in FIG.

That is, the field detection server 200 may generate the maximum speed limitation information by correcting the speed for each section according to the calculated snowfall amount or the corrected estimated snowfall amount, and provide the maximum speed limitation information to the driver or the manager.

Next, with reference to FIG. 6 to FIG. 9, description will be made of generation of road surface freezing caution information as traffic safety information.

Fig. 6 is a diagram for explaining contents of generating road surface freezing caution information. Fig. FIG. 7 is a diagram for explaining the occurrence probability index in a nonconditional condition. FIG. 8 is a diagram for explaining the occurrence probability index in the frost condition. 9 is a diagram for explaining the maximum speed limitation information according to the road surface freezing state information.

Traffic accidents caused by snow freezing in the winter, namely black ice, are characterized by a mortality rate that is four times higher than traffic accidents caused by snow. This is because it is harder for the driver to recognize than when the road surface is frozen and the coefficient of friction is the lowest level compared to other road surface conditions and the braking distance becomes very long.

In addition, accidents caused by road surface freezing are more dangerous on bridges than on public roads, because bridges are less likely to be supplied with geothermal heat and therefore the road surface temperature is likely to fall lower.

Such freezing of the road surface is known to be a phenomenon in which the ice on the road surface freezes instantaneously to form an ice layer that is invisible to the driver. The non-freezing prediction system according to the related art estimates the risk of freezing the surface of the road by observing the above-mentioned freezing rate. This is because there is no means to transmit the danger information to the driver other than the road signs, have.

In addition, the frost on the road surface besides the rain also drastically lowers the coefficient of friction of the road surface, which greatly increases the risk of accidents. However, there is no technology to predict the combined risk of accidents caused by frost and frost.

Accordingly, the traffic safety information propagation system 1 according to the embodiment of the present invention analyzes the meteorological factors such as temperature, road surface temperature, rainfall amount, relative humidity and wind speed, and automatically analyzes the probability of road surface freezing due to rain or frost The maximum speed limitation information is generated based on the information, and the safe driving information of the driver can be effectively guided to the general user including the navigation service provider in API form.

Specifically, referring to FIG. 6, the site detection server 200 senses that the road surface temperature is below zero through the road weather information system 100 (S610). Then, the site detection server 200 detects occurrence of one or more of rain and frost using the measurement data (S620, S630), and the road surface freezing state information can be generated using the road surface freezing probability analysis algorithm according to the detection result.

At this time, in order to calculate the road surface freezing probability Pi due to the rain rate, the site detection server 200 calculates a rainfall intensity contribution factor (W _f ), a rainfall intensity factor Using the probabilistic index (I _f ), the road surface temperature contribution factor (W _r ), the road surface temperature probability index (I _r ), the average wind speed contribution factor (W _w ) and the average wind speed index (I _w ) The probability P _i can be calculated (S625).

&Quot; (2) &quot;

In other words, it is more dangerous if the amount of rainfall is small because the road surface freezing phenomenon caused by rain causes the amount of heat required for freezing to be supplied from the subzero road surface as the amount of rainfall is smaller. Also, the lower the road surface temperature, the more heat is accumulated, so the road surface can be easily frozen. The lower the wind speed, the more heat is lost to the ground surface due to radiative cooling.

7 (a) to 7 (c) are graphs showing the probability of road surface freezing due to rainfall intensity, road surface temperature, and wind velocity, respectively, and are defined as non-probability indices. In this case, the probability of roadside freezing due to rain can be expressed as the sum of the product of the probability index and the contribution factor coefficient for each weather factor. On the other hand, contribution factor coefficient is the quantitative contribution of three meteorological factors to road surface freezing.

Next, the site detection server 200 calculates an average wind speed contribution factor W _w , an average wind speed index I _w , a relative humidity contribution factor W _r , The road surface freezing probability P _i due to the frost can be calculated using the relative humidity probability index I _r , the road surface temperature contribution factor W _r and the road surface temperature probability index I _{r in} operation S635.

&Quot; (3) &quot;

That is, the frost-free road surface freezing phenomenon is characterized in that the wind speed is weak, the relative humidity is high, and the probability of occurrence increases as the road surface temperature is low.

8A to 8C show the probability of occurrence of road surface freezing due to frost on the basis of road surface temperature, relative humidity, and average wind speed, which is defined as a frost probability index. The probability of frost freezing due to frost can be expressed as the sum of the product of the probability index and the factor of contribution for each meteorological factor. In this case, contribution coefficient is quantitatively showing contribution of three meteorological factors to road surface freezing. The sum of contribution factor is equal to 1.

Thus, the road surface freezing probability P _i calculated by the site detection server 200 has a value of 0 to 100%. With the use of such quantified information, an embodiment of the present invention can be automatically operated when a hot wire or a calcium chloride spraying device is installed on a road such as a bridge.

Also, as shown in FIG. 9, the maximum speed limitation information obtained by correcting the speed for each of a plurality of sections on the basis of the road surface freezing attention information can be generated.

According to the embodiment of the present invention described above, the safety of the road user can be improved by maximizing the utility of the pre-installed road weather information system 100.

In addition, by linking with navigation companies, traffic safety information can be improved by streamlining traffic safety information. In other words, existing navigation has a problem that the effectiveness of the information is very low, guiding it regardless of the actual occurrence, in a region where the risk factors such as fog, road freezing, and strong wind occur frequently.

However, according to an embodiment of the present invention, it is possible to inform the driver of real-time risk factor information and to provide a speed limit guide in conjunction with a variable speed limit system that limits the maximum speed variably according to the risk, .

In addition, there is an advantage that safety information can be provided at a much earlier point in time than the prior art in which a driver has to visually identify a traffic safety information display device such as a fog guidance lamp, a road sign, and the like.

Secondary damage can be minimized by sending an emergency signal immediately to the vehicle passing through the route in the event of an emergency.

In addition, according to the embodiment of the present invention, it is expected that the efficiency of the manager's operation through automation of the operation of the traffic safety information display device can be expected. That is, most of the current fog guidance lamps and road signs are dependent on the manual operation of the manager, and thus the operation efficiency is very low.

However, according to an embodiment of the present invention, accuracy can be improved by automating tasks based on quantitative data, and efficiency of work can be improved by transmitting processing results to an administrator terminal.

In addition, an embodiment of the present invention can effectively establish a traffic safety measure such as safety facilities and speed limitation based on the data accumulated in the integrated management server 300, There is an advantage that it can be used.

One embodiment of the present invention may also be embodied in the form of a computer program stored on a medium executed by a computer or a recording medium including instructions executable by the computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes any information delivery media, including computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism.

While the methods and systems of the present invention have been described in connection with specific embodiments, some or all of those elements or operations may be implemented using a computer system having a general purpose hardware architecture.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

1: Traffic safety information propagation system
100: Road Weather Information System
200: Field detection server
300: Integrated management server

Claims (12)

In a traffic safety information propagation system,
One or more road weather information systems installed on the road,
At least one on-site detection server for collecting measurement data by the road and weather information system and generating traffic safety information based on the collected measurement data,
And an integrated management server for receiving and managing traffic safety information generated by the field detection server,
The site detection server generates the traffic safety information including at least one of fog visibility information, heavy rainfall information, heavy snowfall information, and road surface freezing information,
The on-site detection server senses occurrence of at least one of a rain rate and a frost using the measurement data as the road surface weather information system senses that the road surface temperature is below zero, contributions on the basis of the rainfall intensity factor (w _f), rainfall probability index (I _f), a road surface temperature contribution factor (w _r), the road surface temperature probability index (I _r), the average wind speed contribution factor (w _w) and the average wind speed probability Wherein the road surface freezing state information is generated by calculating a road surface freezing probability (P _i ) due to the ratio by the multiplication of the exponent (I _w ). The method according to claim 1,
The on-site detection server calculates a visible distance based on a visible range calculated by reflecting a solar radiation correction factor, and a maximum speed limit adjusted according to the visible range, based on a corrective distance, which is a visibility measurement result calculated on the basis of the amount of moisture particles in the air, And generates information as the fog visual distance information or the heavy snow information. The method according to claim 1,
Wherein the on-site detection server generates the corrected maximum speed limit information at the time of rainstorm on the basis of the drainage performance information of the road and the rainfall intensity information among the measurement data,
Wherein the on-site detection server generates the maximum speed limitation information in which the speed is corrected for each of the plurality of sections in accordance with the rainfall intensity information based on a time when the rainfall amount according to the rainfall intensity information exceeds the drainage performance, Radio wave system. The method of claim 3,
The road is a bridge road,
Wherein the site detection server calculates the drainage performance of the road surface of the bridge road based on the transverse slope information of the road surface, the slope information of the road surface, the interval and position information of the drain hole, . The method according to claim 1,
Wherein the scene detection server generates the snowfall information using the snowfall probability prediction algorithm set based on the atmospheric temperature and the road surface temperature among the measurement data as the snowfall information is sensed through the road weather information system, Radio wave system. 6. The method of claim 5,
Wherein the on-site detection server detects the road section in which the atmospheric temperature is the image of the measurement data for the road and the road surface temperature is below zero, using the measurement data, Wherein the road safety information generating unit generates, as the heavy snowfall information, that there is a possibility that road ice or black ice phenomenon may occur due to the road surface temperature due to the road surface temperature or the ratio of the snow or supercooled state. 6. The method of claim 5,
Wherein the scene detection server detects a road section in which the atmospheric temperature of the road is zero and the road surface temperature is an image using the measurement data, Wherein the snowfall amount per hour is calculated as a snowfall amount per limited time and the snowfall amount per hour is corrected based on a result of the comparison between the calculated amount of snowfall per hour and the amount of snow on the passing vehicle to generate the snowfall information. 8. The method of claim 7,
Wherein the on-site detection server estimates the amount of snowfall per hour based on data measured by a visibility meter in the measurement data for a predetermined time from a point of time when the snowfall is sensed, To apply the snowfall per hour,
And calculates the road surface fusing amount per hour by reflecting the coefficient information calculated based on the pavement thickness of the detected road section and the specific heat information of the material of the road section at the road surface temperature. 8. The method of claim 7,
The on-site detection server calculates the on-coming vehicle mounted amount based on the traffic volume, the traveling speed, and the traveling vehicle coefficient information of the vehicle acquired from the on-vehicle automatic transmission system, and when the amount of snowfall per hour is larger than the on- And the snowfall amount is corrected to generate the snowfall information. delete delete The method according to claim 1,
The on-site detection server calculates, based on the road surface freezing probability analysis algorithm,
The average wind velocity contribution factor ( _Ww ), average wind velocity probability index ( _Iw ), relative humidity contribution factor ( _Wr ), relative humidity probability index ( _Ir ), road surface temperature contribution factor ( _Wr ) I _r ) is used to calculate the road surface freezing probability (P _i ) due to the frost.
[Mathematical Expression]

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