CN114566049A - Tourism service area is with safe intelligent suggestion sign - Google Patents

Tourism service area is with safe intelligent suggestion sign Download PDF

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CN114566049A
CN114566049A CN202210221078.0A CN202210221078A CN114566049A CN 114566049 A CN114566049 A CN 114566049A CN 202210221078 A CN202210221078 A CN 202210221078A CN 114566049 A CN114566049 A CN 114566049A
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visibility
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rain
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CN114566049B (en
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路见宇
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China Design Group Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/012Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/091Traffic information broadcasting
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09FDISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
    • G09F9/00Indicating arrangements for variable information in which the information is built-up on a support by selection or combination of individual elements
    • G09F9/30Indicating arrangements for variable information in which the information is built-up on a support by selection or combination of individual elements in which the desired character or characters are formed by combining individual elements
    • G09F9/33Indicating arrangements for variable information in which the information is built-up on a support by selection or combination of individual elements in which the desired character or characters are formed by combining individual elements being semiconductor devices, e.g. diodes
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

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Abstract

The invention provides a safe and intelligent prompt identifier for a travel service area, which comprises the following components: acquiring weather data of a travel service area at the current moment; if the weather data is judged to be the rain and snow weather information, acquiring a rain and snow quantity value, a standard rain and snow quantity value and a first speed preset value at the current moment, and generating first safety speed information and first risk level information according to the rain and snow quantity value, the standard rain and snow quantity value, the first speed preset value and the vehicle flow information at the current moment; if the visibility information at the current moment in the weather data is judged to be lower than the preset visibility information, second safety speed information and second risk grade information are generated according to the visibility information at the current moment, the preset visibility information, a second speed preset value and traffic flow information; and fusing the first safe speed information, the first risk level information, the second safe speed information and the second risk level information to generate prompt safe speed information and prompt safe level information.

Description

Tourism service area is with safe intelligent suggestion sign
Technical Field
The invention relates to the technical field of data processing, in particular to a safe and intelligent prompt identifier for a travel service area.
Background
With the development of economy, modern transportation has been developed, and road traffic still dominates. Traffic safety and traffic congestion of travel servers are becoming increasingly serious social problems during holiday periods, and cause dramatic economic losses.
Generally, when a tourist first arrives at a travel server, the tourist generally navigates according to a navigation map, but the tourist needs to be presented according to a presentation mark of a travel service area because the tourist cannot perceive weather changes and the possibility of occurrence of disasters in real time during the map navigation. Generally, the prompt identifiers are fixed and preset, and only one type of safety prompt can be provided by one prompt identifier. With the change of the environment, the risk factors of the same travel service area may change, but the safety prompt identifier is fixed, so a safety intelligent prompt identifier is urgently needed, and the safety prompt content can be dynamically changed according to the change of the weather factors in the travel service area.
Disclosure of Invention
The embodiment of the invention provides a safe and intelligent prompt identifier for a tourist service area, which can dynamically change corresponding safe prompt contents according to the change of weather factors in the tourist service area, so that the intelligent prompt identifier can dynamically change according to the weather factors, and effectively guide safe driving of tourists.
In a first aspect of the embodiments of the present invention, a safety intelligent prompt identifier for a travel service area is provided, where the content displayed by the safety intelligent prompt identifier is obtained through the following steps:
acquiring weather data of a travel service area at the current moment, wherein the weather data comprises any one or more of visibility information, rain and snow weather information or non-rain and snow weather information;
if the weather data is judged to be the rain and snow weather information, acquiring a rain and snow quantity value, a standard rain and snow quantity value and a first speed preset value at the current moment, and generating first safe speed information and first risk level information according to the rain and snow quantity value, the standard rain and snow quantity value, the first speed preset value and the traffic flow information at the current moment;
if the visibility information at the current moment in the weather data is judged to be lower than the preset visibility information, second safety speed information and second risk grade information are generated according to the visibility information at the current moment, the preset visibility information, a second speed preset value and traffic flow information;
fusing the first safety speed information, the first risk level information, the second safety speed information and the second risk level information to generate prompt safety speed information and prompt safety level information;
and controlling the safe intelligent prompt identifier to display the prompt safe speed information and the prompt safety level information.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
acquiring preset brightness information corresponding to the preset visibility information, wherein the preset brightness information is the brightness of a display device of a safe intelligent prompt identifier, and the display device is used for displaying prompt safety speed information and prompt safety level information;
obtaining a visibility reduction trend value according to the visibility information at the current moment and preset visibility information;
and calculating according to the visibility reduction trend value and preset brightness information to obtain display brightness information at the next moment.
Optionally, in a possible implementation manner of the first aspect, in the step of obtaining the display brightness information at the next time by performing calculation according to the visibility reduction trend value and preset brightness information, the step includes:
the display luminance information at the next time is calculated by the following formula,
Figure BDA0003536013920000021
wherein L is2For displaying luminance information at the next moment, L1For presetting luminance information, N2For visibility information at the present moment, N1Presetting visibility information, wherein Q is a visibility reduction trend value, and H is a visibility trend conversion weight value;
and adjusting the brightness of the display device according to the display brightness information at the next moment.
Optionally, in a possible implementation manner of the first aspect, the generating, according to the rain and snow amount value at the current time, the standard rain and snow amount value, the first speed preset value, and the traffic flow information, first safe speed information and first risk level information includes:
obtaining a rain and snow change trend value according to the rain and snow value at the current moment and the standard rain and snow value;
obtaining scalar first predicted speed information according to the rain and snow change trend value, the first speed preset value and the traffic flow information;
and comparing the first predicted speed information with the rain and snow speed determination interval and the rain and snow safety level determination interval respectively to obtain corresponding first safety speed information and first risk level information, wherein each rain and snow speed determination interval and each rain and snow safety level determination interval respectively have the corresponding first safety speed information and first risk level information.
Optionally, in a possible implementation manner of the first aspect, in the step of obtaining scalar first predicted speed information according to the rain and snow trend value, the first preset speed value, and the traffic flow information, the method includes:
the first predicted speed information and the rain and snow tendency conversion weight value are calculated by the following formulas,
Figure BDA0003536013920000031
wherein S is2For the first predicted speed information, S1For a first speed preset value, R2As a magnitude of rain or snow at the present time, R1The traffic flow conversion coefficient value is a standard rain and snow value, C is a first rain and snow constant value, Y is a rain and snow change trend value, D is a rain and snow trend conversion weight value, W is traffic flow information, and X is a traffic flow conversion coefficient value.
Optionally, in a possible implementation manner of the first aspect, the step of generating second safe speed information and second risk level information according to the visibility information, the preset visibility information, the second speed preset value, and the traffic flow information at the current time includes:
obtaining a visibility reduction trend value according to the visibility information at the current moment and preset visibility information;
obtaining scalar second predicted speed information according to the visibility reduction trend value, a second speed preset value and traffic flow information;
and respectively comparing the second predicted speed information with the visibility speed determination interval and the visibility safety level determination interval to obtain corresponding second safety speed information and second risk level information, wherein each visibility speed determination interval and each visibility safety level determination interval respectively have the second safety speed information and the second risk level information corresponding to the visibility speed determination interval and each visibility safety level determination interval.
Optionally, in a possible implementation manner of the first aspect, in the step of obtaining scalar second predicted speed information according to the visibility reduction trend value, the second preset speed value, and the traffic flow information, the method includes:
the second predicted speed information and the visibility reduction tendency value are calculated by the following formulas,
Figure BDA0003536013920000032
wherein S is4For the second predicted speed information, S3For a second speed preset value, J2As visibility information at the present moment, J1The method comprises the steps of presetting visibility information, wherein G is a first visibility constant value, Z is a rain and snow change trend value, O is a visibility trend conversion weighted value, W is traffic flow information, and X is a traffic flow conversion coefficient value.
Optionally, in a possible implementation manner of the first aspect, in the step of generating the prompt safe speed information and the prompt safe level information by performing fusion processing on the first safe speed information, the first risk level information, the second safe speed information, and the second risk level information, the method includes:
respectively acquiring a first speed coefficient, a first risk coefficient, a second speed coefficient and a second risk coefficient;
selecting the smaller speed information of the first safe speed information and the second safe speed information as reference calculation speed information, and obtaining corresponding prompt safe speed information according to the reference calculation speed information, the first speed coefficient and the second speed coefficient;
and selecting the higher level information in the first risk level information and the second risk level information as prompt safety level information.
Optionally, in a possible implementation manner of the first aspect, in the step of obtaining corresponding prompt safety speed information according to the reference calculation speed information, the first speed coefficient, and the second speed coefficient, the step includes:
the prompt safe speed information is calculated by the following formula,
V4=V3-V1·α1-V2·α2
wherein, V4To indicate safe speed information, V3Calculating speed information for reference, V1Is first safety speed information, alpha1Is a first speed coefficient, V2As second safety speed information, α2Is the second velocity coefficient.
Optionally, in a possible implementation manner of the first aspect, in the step of obtaining corresponding prompt security level information according to the benchmark calculation level information, the first risk level information, and the second risk level information, the method includes:
acquiring a first grade coefficient and a first total coefficient in the first risk grade information, and acquiring a first person grade coefficient and a second total coefficient in the second risk grade information;
comparing the first grade coefficient with the first total coefficient to obtain a first ratio value, and comparing the second grade coefficient with the first total coefficient to obtain a second ratio value;
and taking the first risk level information or the second risk level information corresponding to the numerical value with the larger first ratio value and the larger second ratio value as the prompt safety level information.
The safe and intelligent prompt identifier for the tourist service area can obtain corresponding prompt safe speed information and prompt safe level information according to weather data, so that a driver can obtain the proper driving speed in real time when driving on a road, and can pay attention to driving according to the safe level. The danger caused by the fact that a driver drives at an excessively high speed in a severe weather environment is avoided. The technical scheme provided by the invention can acquire weather data in real time, and the weather data at least comprises visibility information, rain and snow weather information and non-rain and snow weather information, and the invention can acquire corresponding first safe speed information, first risk level information, second safe speed information and second risk level information according to visibility conditions and rain and snow conditions at a travel service area, so that the invention can refer to weather conditions with multiple dimensions when considering severe weather, so that the obtained prompt safe speed information and prompt safety level information are more consistent with scenes under complex environments, and the proper driving speed of a driver can be more accurately recommended to the driver, and in the process, the invention also can take traffic flow information as a reference value to correct the prompt safe speed information and the prompt safety level information according to the traffic flow information, the calculation of the prompt safety speed information and the prompt safety level information is more accurate and conforms to the current weather and driving scenes.
According to the technical scheme provided by the invention, in the process of controlling the display of the safe intelligent prompting mark, the display brightness information of the safe intelligent prompting mark is calculated and dynamically adjusted according to the visibility information, the preset visibility information and the preset brightness information at the current moment, so that in a severe environment, the brightness of the safe intelligent prompting mark is increased according to the visibility reduction trend value of the visibility information, and a driver can be clearer when checking the prompting safe speed information and prompting the safe grade information.
According to the technical scheme provided by the invention, when the first predicted speed information and the second predicted speed information are calculated, corresponding rain and snow change trend values and visibility reduction trend values can be respectively obtained, so that the first predicted speed information and the second predicted speed information are calculated dynamically and linearly, the first predicted speed information and the second predicted speed information calculated by the invention are more accurate, and when the interval is determined according to the speed subsequently, the size of the interval value can be determined according to the corresponding scene, so that the subsequent data processing and display processes are easy to adjust by a manager, and the whole technical scheme is easy to manage.
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FIG. 1 is a schematic view of a display mode of a safety intelligent prompt identifier for a travel service area;
FIG. 2 is a schematic view of a safety intelligent prompt identifier for a travel service area;
FIG. 3 is a flow chart of a first embodiment of obtaining prompted safe speed information and prompted safe level information;
fig. 4 is a flowchart of a second embodiment of obtaining the prompt safe speed information and the prompt safe level information.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that A, B, C all comprise, "comprises A, B or C" means comprise one of A, B, C, "comprises A, B and/or C" means comprise any 1 or any 2 or 3 of A, B, C.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
The invention provides a safety intelligent prompting mark for a travel service area, which comprises a display device with an LED display screen, wherein the display mode can be as shown in figure 1, at least two display areas are arranged in the LED display screen, one display area is a speed information display area, and the other display area is a safety information display area. The prompt safety speed information can be displayed through the speed information display area, and the prompt safety level information can be displayed through the safety information display area.
As shown in fig. 2, the safety intelligent prompting mark for the travel service area in the invention can be internally provided with a processing chip and a communication module, the communication module can receive weather data in data of a weather forecast system, and the processing chip correspondingly processes the received weather data. The weather forecast system comprises a weather viewing platform at the position of the travel service area, and corresponding weather data can be obtained through the weather viewing platform.
In a possible embodiment, the weather data may also be obtained according to a device set in the safety intelligent prompt identifier, such as a rain and snow monitor, a rain and snow monitoring station, and the like, that is, the information of the heavy rain and snow in the travel service area is obtained through the rain and snow monitor and the rain and snow monitoring station.
Moreover, visibility detection equipment, image acquisition equipment and the like can be arranged at the safe and intelligent prompt mark, and the visibility detection equipment and the image acquisition equipment are respectively connected with the processing chip. Visibility information in a tourism service area where the safe and intelligent prompt identification is located can be collected through the visibility detection equipment, vehicle information of roads in the tourism service area can be collected through the image collection equipment, and corresponding traffic flow information is obtained according to the vehicle information. The invention does not limit the acquisition mode of the visibility information and the traffic flow information.
In a possible implementation manner, the technical solution provided by the present invention obtains the content displayed by the secure intelligent prompt identifier through the following steps based on the processing chip, the communication module, the visibility detection device, the image acquisition device, and other devices, as shown in fig. 3, and includes:
step S110, weather data of the travel service area at the current moment is obtained, wherein the weather data comprises any one or more of visibility information, rain and snow weather information or non-rain and snow weather information. In the actual road driving process, low visibility and rain and snow weather are main reasons causing traffic accidents, and under the weather condition, the visual field of a driver is blocked and a vehicle is not easy to control, so that different safety reminders can be performed on different scenes of visibility information, rain and snow weather information or non-rain and snow weather information. Therefore, the present invention will first acquire weather data for the travel service area at the current time.
Step S120, if the weather data is judged to be rain and snow weather information, acquiring a rain and snow quantity value, a standard rain and snow quantity value and a first speed preset value at the current moment, and generating first safe speed information and first risk level information according to the rain and snow quantity value, the standard rain and snow quantity value, the first speed preset value and vehicle flow information at the current moment.
The method comprises the steps of firstly judging whether rain and snow weather information exists in weather data or not, and obtaining the rain and snow quantity value at the current moment when the rain and snow weather information exists, wherein the rain and snow quantity value can be a quantized numerical value, such as a numerical value smaller than 0.1 mm, 0.1-4.9 mm, 5.0-14.9 and the like.
The standard rain and snow amount value may be 0.1 or 4.9, for example, when the rain and snow amount value is less than 0.1, the driving is not affected in the scene of the sporadic light rain and the sporadic light snow, the standard rain and snow amount value at this time may be 0.1 mm, and if the rain and snow amount value is considered to be 4.9 mm, the driving is not affected, the standard rain and snow amount value may be 4.9 mm.
According to the technical scheme provided by the invention, a corresponding first speed preset value is set, the first speed preset value can be a first speed preset value corresponding to a standard rain and snow quantity value, and the first speed preset value can be 120 kilometers per hour, 100 kilometers per hour, 80 kilometers per hour and the like. It can be understood that the vehicle speed reaching the first preset speed value is not influenced by rain and snow weather in the scene of the standard rain and snow quantity value.
According to the technical scheme provided by the invention, the traffic flow information of the road in the travel service area can be obtained, and the situation that the interval between vehicles is relatively smaller when the traffic flow is larger, the probability of collision between vehicles is increased at the moment, and therefore, the probability of accidents is higher when the traffic flow information is larger.
In a possible implementation manner of the technical solution provided by the present invention, step S120 specifically includes:
and obtaining a rain and snow change trend value according to the rain and snow value at the current moment and the standard rain and snow value. According to the technical scheme provided by the invention, the severe conditions of the current rain and snow weather can be reflected through the rain and snow change trend value, and if the rain and snow change trend value is larger, the difference value between the rain and snow quantity value at the current moment and the standard rain and snow quantity value is proved to be larger, so that the environment is relatively worse at the moment.
And obtaining scalar first predicted speed information according to the rain and snow change trend value, the first speed preset value and the traffic flow information. The method can calculate the deviation of the first speed preset value according to the rain and snow change trend value and the traffic flow information, and the first predicted speed information is smaller when the rain and snow change trend value and the traffic flow information are larger.
In one possible embodiment, the step of obtaining scalar first predicted speed information according to the rain and snow change trend value, the first speed preset value and the traffic flow information comprises:
the first predicted speed information and the rain and snow tendency conversion weight value are calculated by the following formulas,
Figure BDA0003536013920000091
wherein S is2For the first predicted speed information, S1For a first speed preset value, R2As a magnitude of rain or snow at the present time, R1Is a standard rain and snow value, C is a first rain and snow constant value, and Y is a rain and snow constant valueThe snow trend value, D is the rain and snow trend conversion weight value, W is the traffic flow information, and X is the traffic flow conversion coefficient value.
By passing
Figure BDA0003536013920000092
The difference value between the rain and snow quantity value at the current moment and the standard rain and snow quantity value can be obtained, the larger the difference value between the rain and snow quantity value at the current moment and the standard rain and snow quantity value is, the larger the rain and snow change trend value Y is, the traffic flow conversion coefficient value X can be preset, the traffic flow conversion coefficient value X can be adjusted according to information such as the number of traffic lanes in a road, and the like, the larger the number of the traffic lanes is, the smaller the traffic flow conversion coefficient value X can be, and the smaller the number of the traffic lanes is, the larger the traffic flow conversion coefficient value X can be.
Through the technical scheme, when the first predicted speed information is calculated, the corresponding first predicted speed information can be obtained in a linear mode according to the difference of rain and snow information, the difference of traffic flow information and the difference of the number of lanes, and the accuracy of the first predicted speed information is improved.
And comparing the first predicted speed information with the rain and snow speed determination interval and the rain and snow safety level determination interval respectively to obtain corresponding first safety speed information and first risk level information, wherein each rain and snow speed determination interval and each rain and snow safety level determination interval respectively have the corresponding first safety speed information and first risk level information.
According to the technical scheme provided by the invention, after the first predicted speed information is calculated, the first predicted speed information with decimal numerical value is probably calculated, if the first predicted speed information with decimal numerical value is displayed, the driver is not favorable for receiving messages, and the area of the displayed screen is large. Therefore, the invention can preset a plurality of rain and snow speed determination intervals and rain and snow safety level determination intervals.
The rain and snow speed determination section may be composed of a plurality of, a first rain and snow speed determination section may be 10 to 30, a second rain and snow speed determination section may be 31 to 50, a third rain and snow speed determination section may be 51 to 70, and the like. The first predicted speed information corresponding to the first rain and snow speed determination section is 20 kilometers per hour, the first predicted speed information corresponding to the second rain and snow speed determination section is 40 kilometers per hour, and the first predicted speed information corresponding to the third rain and snow speed determination section is 60 kilometers per hour. When the first predicted speed information is 62.33, the first predicted speed information is in a third rain and snow speed determination interval at the moment, and the output first predicted speed information is 60 kilometers per hour at the moment.
The rain and snow safety level section may have a plurality of rain and snow safety level sections, and it is understood that the environment at this time is relatively dangerous as the first predicted speed information is smaller, so the rain and snow safety level section may be regarded as being inversely proportional to the first predicted speed information, and the rain and snow safety level section may be divided into 4 sections, the first rain and snow speed determination section being a speed of 0 to 30, the second rain and snow speed determination section being a speed of 31 to 60, the third rain and snow speed determination section being a speed of 61 to 90, and the fourth rain and snow speed determination section being a speed of 91 to 120. The rain and snow safety level corresponding to the first rain and snow speed determination section may be relatively dangerous, the rain and snow safety level corresponding to the second rain and snow speed determination section may be dangerous, the rain and snow safety level corresponding to the third rain and snow speed determination section may be safe, and the rain and snow safety level corresponding to the fourth rain and snow speed determination section may be relatively safe. The more dangerous corresponding factor of safety may be 25, the dangerous corresponding factor of safety may be 50, the safe corresponding factor of safety may be 75, and the more safe corresponding factor of safety may be 100.
The display mode of the first risk level information is not limited in any way, and the display mode of the first risk level information may be in a text form, such as "dangerous, safe" and the like, or in a number form, such as "25, 100" and the like.
If the weather data is judged to be non-rainy and non-snowy weather information, the first predicted speed information and the first risk level information at the moment can be respectively preset, for example, 80 kilometers per hour and safety.
After rain and snow weather and non-rain and snow weather in weather data are judged, the current visibility condition can be judged, if the visibility information is higher than the preset visibility information, the visibility at the moment is judged to be good, and then first predicted speed information and first risk grade information corresponding to the rain and snow weather are output at the moment.
And if the weather data is judged to be the weather information without rain or snow, and the visibility information in the weather data is lower than the preset visibility information, outputting second predicted speed information and second risk level information corresponding to the visibility information.
Step S130, if it is determined that the visibility information at the current moment in the weather data is lower than the preset visibility information, generating second safe speed information and second risk level information according to the visibility information at the current moment, the preset visibility information, a second speed preset value, and traffic flow information. The visibility information at the present moment may be a specific value, for example, the visibility information is 20 meters, 50 meters, 100 meters, 200 meters, and the like. The preset visibility information may be preset, for example, 150 meters. It will be appreciated that the lower the visibility information, the poorer the field of vision of the driver when driving, and the higher the risk, and the corresponding speed should be reduced. In addition, when the second safe speed information and the second risk level information are calculated, corresponding traffic flow information is considered, and the risk is increased when the traffic flow is larger.
In one possible implementation manner, the technical solution provided by the present invention, in step S130, includes:
and obtaining a visibility reduction trend value according to the visibility information at the current moment and the preset visibility information. According to the technical scheme provided by the invention, the current poor visibility condition can be reflected through the visibility reduction trend value, and if the visibility reduction trend value is larger, the larger the difference value between the visibility information at the current moment and the preset visibility information is, the poorer the driving visual field at the moment is.
And obtaining scalar second predicted speed information according to the visibility reduction trend value, the second speed preset value and the traffic flow information. The second speed preset value is calculated according to the visibility reduction trend value and the traffic flow information, and the second predicted speed information is smaller when the visibility reduction trend value and the traffic flow information are larger.
In a possible implementation manner, the step of obtaining scalar second predicted speed information according to the visibility reduction trend value, the second speed preset value and the traffic flow information includes:
the second predicted speed information and the visibility reduction tendency value are calculated by the following formulas,
Figure BDA0003536013920000111
wherein S is4For the second predicted speed information, S3For a second speed preset value, J2For visibility information at the present moment, J1The method comprises the steps of presetting visibility information, wherein G is a first visibility constant value, Z is a rain and snow change trend value, O is a visibility trend conversion weighted value, W is traffic flow information, and X is a traffic flow conversion coefficient value.
By passing
Figure BDA0003536013920000112
The difference value between the visibility information at the current moment and the preset visibility information can be obtained, the greater the difference value between the visibility information at the current moment and the preset visibility information is, the greater the rain and snow change trend value Z is, the preset traffic flow conversion coefficient value X can be adjusted according to the number of lanes in the road and other information, the greater the number of lanes is, the smaller the traffic flow conversion coefficient value X can be, and the fewer the number of lanes is, the greater the traffic flow conversion coefficient value X can be.
Through the technical scheme, when the second predicted speed information is calculated, the corresponding second predicted speed information can be obtained in a linear mode according to the difference of visibility information, the difference of traffic flow information and the difference of the number of traffic lanes, and the accuracy of the second predicted speed information is improved.
And respectively comparing the second predicted speed information with the visibility speed determination interval and the visibility safety level determination interval to obtain corresponding second safety speed information and second risk level information, wherein each visibility speed determination interval and each visibility safety level determination interval respectively have the second safety speed information and the second risk level information corresponding to the visibility speed determination interval and each visibility safety level determination interval.
According to the technical scheme provided by the invention, after the second predicted speed information is calculated, the second predicted speed information with decimal numerical value is probably calculated, if the second predicted speed information with decimal numerical value is displayed, the driver is not favorable for receiving messages, and the area of the displayed screen is large. Therefore, the invention can preset a plurality of visibility speed determination intervals and visibility safety level determination intervals.
The visibility speed determination interval may be a plurality of, a first visibility speed determination interval may be 0 to 20, a second visibility speed determination interval may be 21 to 40, a third visibility speed determination interval may be 41 to 60, and the like, a fourth visibility speed determination interval may be 61 to 80, and the like. The second predicted speed information corresponding to the first visibility speed determination interval is 10 kilometers per hour, the second predicted speed information corresponding to the second visibility speed determination interval is 30 kilometers per hour, the second predicted speed information corresponding to the third visibility speed determination interval is 50 kilometers per hour, and the second predicted speed information corresponding to the fourth visibility speed determination interval is 70 kilometers per hour. When the second predicted speed information is 17.33, the second predicted speed information is in the first rain and snow speed determination interval at the moment, and the output first predicted speed information is 10 kilometers per hour at the moment.
The rain and snow safety level interval may have a plurality of intervals, and it can be understood that the smaller the second predicted speed information is, the more dangerous the environment at this time is relatively, so the visibility safety level interval may be regarded as being inversely proportional to the second predicted speed information, the visibility safety level interval may be divided into 4 intervals, the first visibility determination interval is speed of 0 to 10, the second visibility determination interval is speed of 21 to 30, the third visibility determination interval is speed of 31 to 60, and the fourth visibility determination interval is speed of 61 or more. The visibility level corresponding to the first visibility determination section may be very dangerous (driving away from the road section is recommended), the rain and snow safety level corresponding to the second visibility determination section may be relatively dangerous, the visibility safety level corresponding to the third visibility determination section may be dangerous, and the visibility safety level corresponding to the fourth visibility determination section may be safe. A very dangerous factor of safety may be 5, a more dangerous factor of safety may be 25, a dangerous factor of safety may be 50, and a safe factor of safety may be 75/100.
The display mode of the second risk level information is not limited in any way, and the display mode of the second risk level information may be in a text form, such as "dangerous, safe" and the like, or in a number form, such as "25, 100" and the like.
Through the technical scheme, different safety factors can be obtained according to different grades of rain and snow weather and visibility.
Under the condition that only one kind of severe weather exists, for example, rainy and snowy weather exists, visibility is normal or not, and visibility is abnormal, the method only calculates speed and risk level information for the abnormal weather. In addition, in different risk levels, slight weather abnormalities may occur, for example, sporadic rains, and visibility is slightly reduced due to fog and haze with very low concentration, and at this time, safe display is also performed.
However, in a scene with rain and snow weather and abnormal visibility, the method needs to perform fusion calculation on the two types of abnormity to obtain final prompt safety speed information and prompt safety level information.
And step S140, fusing the first safe speed information, the first risk level information, the second safe speed information and the second risk level information to generate prompt safe speed information and prompt safe level information. According to the technical scheme provided by the invention, when rain and snow weather and visibility are abnormal, corresponding first safe speed information, first risk level information, second safe speed information and second risk level information are obtained, and the first safe speed information, the first risk level information, the second safe speed information and the second risk level information are subjected to fusion processing to obtain prompt safe speed information and prompt safe level information after factors such as rain and snow weather and visibility are comprehensively considered, so that the calculated prompt safe speed information and prompt safe level information are more consistent with the current calculation scene.
In a possible implementation manner of the technical solution provided by the present invention, step S140 includes:
and respectively acquiring a first speed coefficient, a first risk coefficient, a second speed coefficient and a second risk coefficient. The method first obtains a first speed coefficient, a first risk coefficient, a second speed coefficient and a second risk coefficient which are preset, wherein the coefficients can be constant values.
The invention can respectively fuse the first safety speed information and the second safety speed information and fuse the first risk level information and the second risk level information.
And selecting the smaller speed information of the first safe speed information and the second safe speed information as reference calculation speed information, and obtaining corresponding prompt safe speed information according to the reference calculation speed information, the first speed coefficient and the second speed coefficient. The method comprises the steps of firstly, obtaining the smaller speed information in the first safe speed information and the second safe speed information, wherein the speed information is the minimum speed information obtained by only considering a single factor, but the two factors for safe driving of the vehicle are needed, so that the two factors are needed to be fused, considered and calculated, and the corresponding value is subtracted on the basis of the minimum speed information to obtain the smaller prompt safe speed information. Because the damage caused by two severe weather factors is necessarily greater than the damage caused by one severe weather, the method can obtain smaller prompt safe speed information on the basis of the smaller speed information in the first safe speed information and the second safe speed information.
In one possible implementation manner, the step of obtaining corresponding prompt safe speed information according to the reference calculation speed information, the first speed coefficient and the second speed coefficient includes:
the prompt safe speed information is calculated by the following formula,
V4=V3-V1·α1-V2·α2
wherein, V4To indicate safe speed information, V3Calculating speed information, V, for reference1Is first safety speed information, alpha1Is a first speed coefficient, V2As second safety speed information, α2Is a second speed coefficient.
In an actual driving scenario, low visibility interacts with rainy or snowy weather, which does not cause the vehicle to skid when it rains, but reduces the visibility of the driver when it rains. Similarly, rainfall also reduces visibility at the present time, so that the prompt safe speed information needs to be subtracted by the product of the first speed coefficient and the first safe speed information and by the product of the second speed coefficient and the second safe speed information, respectively. First speed coefficient alpha1And a second speed coefficient alpha2May be preset for the first speed coefficient alpha1And a second speed coefficient alpha2The present invention is not limited to the specific numerical values of (a).
And selecting the higher level information in the first risk level information and the second risk level information as prompt safety level information.
In a possible embodiment, the step of obtaining corresponding prompt security level information according to the reference calculation level information, the first risk level information, and the second risk level information includes:
and acquiring a first grade coefficient and a first total coefficient in the first risk grade information, and acquiring a second grade coefficient and a second total coefficient in the second risk grade information.
As described above, the present invention corresponds to a plurality of level sections, for example, the number of the rain and snow speed determination sections may be 4, the first total coefficient at this time is 4, the first level coefficient corresponding to the first rain and snow speed determination section is 4, the first level coefficient corresponding to the second rain and snow speed determination section is 3, the first level coefficient corresponding to the third rain and snow speed determination section is 2, and the first level coefficient corresponding to the fourth rain and snow speed determination section is 1.
Similarly, for example, the visibility speed determination intervals may be 4, the second total coefficient at this time is 4, the second-level coefficient corresponding to the first visibility speed determination interval is 4, the second-level coefficient corresponding to the second visibility speed determination interval is 3, the second-level coefficient corresponding to the third visibility speed determination interval is 2, and the second-level coefficient corresponding to the fourth visibility speed determination interval is 1.
And comparing the first grade coefficient with the first total coefficient to obtain a first ratio value, and comparing the second grade coefficient with the first total coefficient to obtain a second ratio value. The first grade coefficient and the first total coefficient are compared to obtain a first ratio value, for example, the first risk grade information corresponds to a second rain and snow speed determination interval, the first ratio value at the moment is three quarters, the second risk grade information corresponds to a third visibility speed determination interval, and the first person ratio value at the moment is two quarters.
And taking the first risk level information or the second risk level information corresponding to the numerical value with the larger first ratio value and the larger second ratio value as the prompt safety level information. And if the first ratio value is larger than the second ratio value, the first risk level information corresponding to the second rain and snow speed determination interval is used as prompt safety level information.
Through the mode, the risk levels can be transversely compared in different dimensions, and information with higher risk levels is selected as prompt safety level information. And even if the number of the rain and snow speed determining intervals and the visibility speed determining intervals is different, transverse comparison can be carried out, so that appropriate safety prompt information can be obtained under the condition of poor rain and snow weather and poor visibility.
And S150, controlling the safe intelligent prompt identifier to display the prompt safe speed information and the prompt safe level information. According to the technical scheme provided by the invention, after the safety prompting speed information and the safety prompting level information are obtained, the safety prompting speed information and the safety prompting level information are displayed through the display device.
In a possible implementation manner, as shown in fig. 4, the technical solution provided by the present invention further includes:
step S210, obtaining preset brightness information corresponding to the preset visibility information, wherein the preset brightness information is the brightness of a display device of the safe intelligent prompt identifier, and the display device is used for displaying prompt safety speed information and prompt safety level information. According to the technical scheme provided by the invention, the preset brightness information corresponding to the preset visibility information can be obtained firstly, and the preset visibility information can be 150 meters and the like. The preset brightness information may have a plurality of index forms, for example, a power index form, that is, the preset brightness information may be the brightness of the LED display module of the display device under the first power. The preset luminance information may be in the form of an RGB value index, for example, the preset luminance information is the luminance of the RGB values of 145, 155, and 175.
And step S220, obtaining a visibility reduction trend value according to the visibility information at the current moment and preset visibility information. According to the technical scheme provided by the invention, the current visibility reduction condition can be obtained through the visibility reduction trend value, so that the more serious the visibility reduction condition is, the more difficult a driver can check the corresponding safe intelligent prompt identifier.
And step S230, calculating according to the visibility reduction trend value and preset brightness information to obtain display brightness information at the next moment. According to the technical scheme provided by the invention, the display brightness information can be calculated according to the visibility reduction trend value, and when the visibility reduction trend value is larger, the visibility reduction is proved to be more obvious, so that the brightness of the safe intelligent prompt identifier at the next moment needs to be improved more.
In a possible implementation manner, the step of calculating to obtain the display brightness information at the next moment according to the visibility reduction trend value and the preset brightness information includes:
the display luminance information at the next time is calculated by the following formula,
Figure BDA0003536013920000161
wherein L is2For displaying luminance information at the next moment, L1For presetting luminance information, N2For visibility information at the present moment, N1For presetting visibility information, Q is a visibility reduction trend value, and H is a visibility trend conversion weighted value. By passing
Figure BDA0003536013920000162
Obtaining visibility reduction trend value when M2-M1The greater the | is, the more obvious the visibility is proved to be reduced at the moment, and the invention passes through
Figure BDA0003536013920000163
And obtaining the variation of the display brightness information at the next moment compared with the preset brightness information, so that the obtained display brightness information is associated with the preset brightness information and is obtained on the basis of the preset brightness information.
And adjusting the brightness of the display device according to the display brightness information at the next moment. According to the technical scheme provided by the invention, the brightness of the display brightness information display device can be adjusted according to the calculated brightness, so that the brightness of the safe and intelligent prompt mark can be displayed more clearly in a severe environment.
In the above embodiments of the terminal or the server, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. The utility model provides a tourism service area is with safe intelligent suggestion sign which characterized in that, obtains the content that safe intelligent suggestion sign shows through following step, includes:
acquiring weather data of a travel service area at the current moment, wherein the weather data comprises any one or more of visibility information, rain and snow weather information or non-rain and snow weather information;
if the weather data is judged to be the rain and snow weather information, acquiring a rain and snow quantity value, a standard rain and snow quantity value and a first speed preset value at the current moment, and generating first safe speed information and first risk level information according to the rain and snow quantity value, the standard rain and snow quantity value, the first speed preset value and the traffic flow information at the current moment;
if the visibility information at the current moment in the weather data is judged to be lower than the preset visibility information, second safety speed information and second risk grade information are generated according to the visibility information at the current moment, the preset visibility information, a second speed preset value and traffic flow information;
fusing the first safety speed information, the first risk level information, the second safety speed information and the second risk level information to generate prompt safety speed information and prompt safety level information;
and controlling the safe intelligent prompt identifier to display the prompt safe speed information and the prompt safety level information.
2. The travel service area safety intelligent prompting mark as defined in claim 1, further comprising:
acquiring preset brightness information corresponding to the preset visibility information, wherein the preset brightness information is the brightness of a display device of a safe intelligent prompt identifier, and the display device is used for displaying prompt safety speed information and prompt safety level information;
obtaining a visibility reduction trend value according to the visibility information at the current moment and preset visibility information;
and calculating according to the visibility reduction trend value and preset brightness information to obtain display brightness information at the next moment.
3. The travel service area safety intelligent prompting mark as claimed in claim 2, wherein in the step of calculating the display brightness information at the next moment according to the visibility reduction trend value and the preset brightness information, the step comprises:
the display luminance information at the next time instant is calculated by the following formula,
Figure FDA0003536013910000011
wherein L is2For displaying luminance information at the next moment, L1For presetting luminance information, N2For visibility information at the present moment, N1For presetting visibility information, Q is a visibility reduction trend value, and H isConverting visibility trend into a weighted value;
and adjusting the brightness of the display device according to the display brightness information at the next moment.
4. The travel service area-use secure intelligent reminder identification of claim 1,
the steps of generating first safe speed information and first risk level information according to the rain and snow quantity value, the standard rain and snow quantity value, the first speed preset value and the traffic flow information at the current moment comprise:
obtaining a rain and snow change trend value according to the rain and snow value at the current moment and the standard rain and snow value;
obtaining scalar first predicted speed information according to the rain and snow change trend value, the first speed preset value and the traffic flow information;
and comparing the first predicted speed information with the rain and snow speed determination interval and the rain and snow safety level determination interval respectively to obtain corresponding first safety speed information and first risk level information, wherein each rain and snow speed determination interval and each rain and snow safety level determination interval respectively have the corresponding first safety speed information and first risk level information.
5. The travel service area safety intelligent reminder identifier of claim 4,
the step of obtaining scalar first predicted speed information according to the rain and snow change trend value, the first speed preset value and the traffic flow information comprises the following steps:
the first predicted speed information and the rain and snow tendency conversion weight value are calculated by the following formulas,
Figure FDA0003536013910000021
wherein S is2For the first predicted speed information, S1For a first speed preset value, R2As the magnitude of rain or snow at the present time, R1The value is a standard rain and snow value, C is a first rain and snow constant value, Y is a rain and snow change trend value, D is a rain and snow trend conversion weight value, W is traffic flow information, and X is a traffic flow conversion coefficient value.
6. The travel service area safety intelligent tips identification of claim 1,
the step of generating second safe speed information and second risk level information according to the visibility information, the preset visibility information, the second speed preset value and the traffic flow information at the current moment comprises the following steps:
obtaining a visibility reduction trend value according to the visibility information at the current moment and preset visibility information;
obtaining scalar second predicted speed information according to the visibility reduction trend value, a second speed preset value and traffic flow information;
and respectively comparing the second predicted speed information with the visibility speed determination interval and the visibility safety level determination interval to obtain corresponding second safety speed information and second risk level information, wherein each visibility speed determination interval and each visibility safety level determination interval respectively have the second safety speed information and the second risk level information corresponding to the visibility speed determination interval and each visibility safety level determination interval.
7. The travel service area safety intelligent reminder identifier of claim 6,
in the step of obtaining scalar second predicted speed information according to the visibility reduction trend value, the second speed preset value and the traffic flow information, the method comprises the following steps:
the second predicted speed information and the visibility reduction tendency value are calculated by the following formulas,
Figure FDA0003536013910000031
wherein S is4For the second predicted speed information, S3For a second speed preset value, J2As visibility information at the present moment, J1The method comprises the steps that visibility information is preset, G is a first visibility constant value, Z is a rain and snow change trend value, O is a visibility trend conversion weight value, W is traffic flow information, and X is a traffic flow conversion coefficient value.
8. The travel service area safety intelligent tips identification of claim 1,
the step of fusing the first safe speed information, the first risk level information, the second safe speed information and the second risk level information to generate the prompt safe speed information and the prompt safe level information comprises the following steps:
respectively acquiring a first speed coefficient, a first risk coefficient, a second speed coefficient and a second risk coefficient;
selecting the smaller speed information of the first safe speed information and the second safe speed information as reference calculation speed information, and obtaining corresponding prompt safe speed information according to the reference calculation speed information, the first speed coefficient and the second speed coefficient;
and selecting the higher level information in the first risk level information and the second risk level information as prompt safety level information.
9. The travel service area safety intelligence tip identification as recited in claim 8,
in the step of obtaining corresponding prompt safe speed information according to the reference calculation speed information, the first speed coefficient and the second speed coefficient, the method comprises the following steps:
the prompt safe speed information is calculated by the following formula,
V4=V3-V1·α1-V2·α2
wherein, V4To indicate safe speed information, V3Calculating speed information for reference, V1Is first safety speed information, alpha1Is a first speed coefficient, V2Is the second safety speed information,α2Is the second velocity coefficient.
10. The travel service area safety intelligence tip identification as recited in claim 8,
in the step of obtaining corresponding prompt security level information according to the benchmark calculation level information, the first risk level information and the second risk level information, the method comprises the following steps:
acquiring a first grade coefficient and a first total coefficient in the first risk grade information, and acquiring a first person grade coefficient and a second total coefficient in the second risk grade information;
comparing the first grade coefficient with the first total coefficient to obtain a first ratio value, and comparing the second grade coefficient with the first total coefficient to obtain a second ratio value;
and taking the first risk level information or the second risk level information corresponding to the numerical value with the larger first ratio value and the larger second ratio value as the prompt safety level information.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103337184A (en) * 2013-07-11 2013-10-02 上海济安交通工程咨询有限公司 Urban road speed limiting indication system based on time, traffic flow and weather and control method
CN103956068A (en) * 2014-04-13 2014-07-30 双鸭山市鸿丰机械制造有限公司 Highway real-time speed limiting system in hazy weather
CN103985260A (en) * 2014-05-29 2014-08-13 公安部交通管理科学研究所 Vehicle speed control system for expressway main line
CN105810000A (en) * 2016-03-22 2016-07-27 努比亚技术有限公司 Vehicle-driving early-warning device and method
CN105825692A (en) * 2016-05-31 2016-08-03 山东交通学院 Highway speed limit information acquiring method based on roadside weather stations and system
CN207517194U (en) * 2017-10-23 2018-06-19 天津职业技术师范大学 Highway operating speed active forewarning system based on bus or train route collaboration
KR20190093231A (en) * 2018-01-31 2019-08-09 현대건설주식회사 Speed control system and method thereof in weather condition of road
KR102027086B1 (en) * 2019-03-28 2019-09-30 주식회사 카이넥스엠 Changeable sign board device system changing the speed limitdepending according to environment
CN113276882A (en) * 2021-04-22 2021-08-20 清华大学苏州汽车研究院(相城) Control method and control system for automatic driving vehicle and calculation method for target speed

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103337184A (en) * 2013-07-11 2013-10-02 上海济安交通工程咨询有限公司 Urban road speed limiting indication system based on time, traffic flow and weather and control method
CN103956068A (en) * 2014-04-13 2014-07-30 双鸭山市鸿丰机械制造有限公司 Highway real-time speed limiting system in hazy weather
CN103985260A (en) * 2014-05-29 2014-08-13 公安部交通管理科学研究所 Vehicle speed control system for expressway main line
CN105810000A (en) * 2016-03-22 2016-07-27 努比亚技术有限公司 Vehicle-driving early-warning device and method
CN105825692A (en) * 2016-05-31 2016-08-03 山东交通学院 Highway speed limit information acquiring method based on roadside weather stations and system
CN207517194U (en) * 2017-10-23 2018-06-19 天津职业技术师范大学 Highway operating speed active forewarning system based on bus or train route collaboration
KR20190093231A (en) * 2018-01-31 2019-08-09 현대건설주식회사 Speed control system and method thereof in weather condition of road
KR102027086B1 (en) * 2019-03-28 2019-09-30 주식회사 카이넥스엠 Changeable sign board device system changing the speed limitdepending according to environment
CN113276882A (en) * 2021-04-22 2021-08-20 清华大学苏州汽车研究院(相城) Control method and control system for automatic driving vehicle and calculation method for target speed

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