Guiding device and operation method for high-curvature road with poor sight distance

Abstract

The invention discloses a guiding device and an operation method for a high-curvature poor-sight-distance road. A central controller processes the vehicle type, the vehicle speed, whether vehicles come from an opposite lane or not and whether obstacles at a curve affect vehicle driving or not; the maximum suggested speed of the vehicle passing through the curve area is obtained by combining the position information of the guiding device of the road with the poor sight distance and the humidity data; specific passage suggestions are respectively given when only one lane comes, the two lanes both have coming vehicles and obstacles fall into a curve area. According to the method, when the vehicle passes through the road with the poor sight distance, safe and rapid guiding is achieved, the road traffic capacity is improved, and meanwhile driving safety is guaranteed to a certain degree.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle-road cooperation, and particularly relates to a guiding device and operation method for roads with high curvature and poor sight distance. Background Art

[0002] When a vehicle is driving at a bend on a mountain road, etc., due to the obstruction of trees or mountains in the turning direction, it is impossible to observe whether there is an oncoming vehicle in the oncoming lane and decelerate in advance, thus causing traffic accidents; and when there is no oncoming vehicle, excessive deceleration is carried out in advance, increasing energy consumption and time costs. Currently, the main method to solve this problem is to install a convex mirror outside the turning node. However, since the installation position of the convex mirror is generally remote, in the case of long-term unattended cleaning, a large amount of dust will adsorb on the surface of the convex mirror, affecting the driver's observation of the road conditions in the oncoming lane. Secondly, when the body color of the vehicle driving in the oncoming lane is silver, white or other colors that are not easy to observe, it will also affect the driver's observation. Other methods mainly focus on measures such as removing obstacles on both sides of the road, pruning green plants, and removing unnecessary facilities. However, this method will consume a large amount of manpower and material resources, and when the obstacles are mainly composed of objects such as mountains that are not easy to remove, the above methods cannot provide good solutions. Summary of the Invention

[0003] In view of the deficiencies in the prior art, the present invention provides a guiding device and operation method for roads with high curvature and poor sight distance.

[0004] The present invention achieves the above technical objectives through the following technical means.

[0005] A guiding device for roads with high curvature and poor sight distance, characterized in that it includes:

[0006] A column, on which a video detection camera, a main shaft, a central controller and a humidity sensor are installed in sequence from top to bottom;

[0007] At the main shaft, a robotic arm A and a robotic arm B are fixed. The ends of the robotic arm A and the robotic arm B are respectively connected and fixed to a rotating shaft A and a rotating shaft B. An Led screen A and an Led screen B are respectively fixed on the rotating shaft A and the rotating shaft B, and the Led screen A and the Led screen B can rotate around the rotating shaft A and the rotating shaft B respectively. Infrared sensors A and red line sensors B are respectively embedded at the tops of the Led screen A and the Led screen B.

[0008] The above technical solution further includes a solar roof, a solar backplate A and a solar backplate B. The solar roof is installed on the top of the column, and the solar backplate A and the solar backplate B are respectively fixed on the backs of the Led screen A and the Led screen B.

[0009] The above technical solution further includes a lighting device, which is located below the solar roof.

[0010] The above technical solution further includes an accident alarm button, which is located above the humidity sensor.

[0011] In the above technical solution, the video detection camera can rotate around the axis of the column and can move up and down along the column.

[0012] An operation method of a guiding device for a road with high curvature and poor sight distance:

[0013] Vehicle detection: The passing of the vehicle is detected through the data collected by the infrared sensor A, the red line sensor B and the video detection camera. At the same time, the vehicle speed and vehicle type information are obtained from the data collected by the video detection camera;

[0014] Obstacle recognition: The obstacle information is obtained from the data collected by the video detection camera;

[0015] The central controller processes the vehicle type, vehicle speed, whether there is an oncoming vehicle in the oncoming lane, and whether the obstacle at the bend affects the vehicle driving;

[0016] Combined with the location information of the guiding device for the road with poor sight distance and the humidity data, the maximum recommended speed V of the vehicle passing through the bend area is obtained 建 ;

[0017] When there is only one-way traffic, when the vehicle travels to the lane detection starting point, the guiding device for the road with poor sight distance detects the vehicle speed and sends a signal through the Led screen to remind the oncoming vehicle: there is no oncoming vehicle in the oncoming lane and the recommended speed v1 for driving through the turning bend area, so as to guide the vehicle to quickly pass through the bend area and drive out of the bend; the recommended speed v1 does not exceed the maximum recommended speed V 建 ;

[0018] When there is oncoming traffic in both lanes, the central controller processes the vehicle speed information of both lanes in real time and judges whether the vehicles in the left-turn lane and the right-turn lane will meet at the bend area; when there will be no meeting, the guiding device for the road with poor sight distance sends a signal to remind the vehicle in the left-turn lane: there will be an oncoming vehicle in the oncoming lane, please quickly drive out of the bend area, and the recommended speed v2 does not exceed the maximum recommended speed V 建 , and at the same time sends a signal to remind the oncoming vehicle in the right-turn lane: there will be an oncoming vehicle in the oncoming lane of the bend area, and gives the recommended speed v3, and the recommended speed v3 is the designed speed of this lane; when there will be a meeting, the guiding device for the road with poor sight distance simultaneously sends a warning signal to the vehicles in the left-turn lane and the right-turn lane: there will be a meeting in the front bend area, reminding the vehicles in both lanes to drive at a speed lower than the designed speed of the lane and drive out of the bend safely;

[0019] When an obstacle falls into the curved road area, the guiding device for the road with poor visibility identifies the degree of influence of the obstacle on driving: when the obstacle occupies less than one-fifth of the lane space or is located at the outer edge of the road, it is not sufficient to affect normal driving, and the guiding device for the road with poor visibility will not send a signal; when the obstacle occupies two-fifths of the lane space or is located in the middle of the lane, slightly affecting normal driving, the guiding device for the road with poor visibility sends a signal to remind the oncoming vehicles in the left-turn lane and the right-turn lane: there is a small obstacle at the curve, please drive carefully; when the obstacle occupies one-half of the lane space or is located at the center of the lane, affecting normal driving, the guiding device for the road with poor visibility sends a signal to warn the oncoming vehicles in the left-turn lane and the right-turn lane: there is a large obstacle at the curve, please stop and observe before passing, and send a message to the highway management station: there is a large obstacle in this area and it needs to be cleared in time.

[0020] Further, the following method is used to determine whether a meeting of vehicles occurs in the curved road area:

[0021] When T4 ≥ (x4 / V1) + (x6 / V3), vehicle a in the left-turn lane and vehicle b in the right-turn lane meet in the curved road area;

[0022] When T4 < (x4 / V1) + (x6 / V3), vehicles a and b do not meet in the curved road area;

[0023] Wherein, T4 represents the moment when vehicle b arrives at the curved road area, and T4 = (x7 - x8) / V2, x7 is the lane length from the detection starting point of the right-turn lane to the curved road area, x8 is the distance traveled by vehicle b during the time from T3 to T2, V2 is the speed of vehicle b, x4 is the distance of vehicle a from the curved road area at moment T3, x6 is the lane length of the left-turn lane in the curved road area, V1 is the speed of vehicle a, and V3 is the designed speed of vehicle a corresponding to the road conditions in the curved road area.

[0024] Further, the maximum recommended speed V of the vehicle passing through the curved road area 建 = Vα, where α is a correction coefficient, which is obtained according to different vehicle types, V is the maximum allowable driving speed, and R is the radius of the circular curve of the curve, is the lateral friction coefficient of the road, and ih is the lateral super-elevation gradient of the road.

[0025] Further, it also includes an energy storage process: the solar backplane A, the solar top plate, and the solar backplane B convert solar energy into electrical energy and store it in the internal power supply under good weather conditions; at night, the video detection camera does not work all the time, and the internal power supply only supplies power to the infrared sensor A, the infrared sensor B, and the lighting device. When there is an oncoming vehicle, the central controller activates the Led screen A, the Led screen B, and the video detection camera.

[0026] Furthermore, it also includes the process of accident alarm and recording: When an accident occurs in the curve area, the accident location is sent to the traffic police through the accident alarm button. At the same time, the traffic police can also watch the accident situation in real time through the video detection camera. The video information captured by the video detection camera provides evidence for the determination of accident liability. When a major accident occurs and the driver is unable to report the accident by himself, the video detection camera recognizes that the vehicle in the curve area has not moved for a long time, and the central controller reports the accident automatically and sends the accident location and video information.

[0027] The beneficial effects of the present invention are as follows:

[0028] The present invention can clearly warn and guide the drivers of vehicles driving on roads with poor sight distance, and can give the recommended vehicle speed of the vehicles driven by the drivers, improving the road traffic capacity and safety. At the same time, the present invention can identify obstacles and accidents at the curves and then give alarms and notifications and handling of the obstacles, improving the road service level while reducing the accident rate. Description of the Drawings

[0029] Figure 1 It is a road condition plan view of the guiding device for roads with high-curvature and poor sight distance according to the present invention;

[0030] Figure 2 It is a plan view of oncoming vehicles in a single lane according to the present invention;

[0031] Figure 3 It is a plan view of the existence of obstacles at the curve according to the present invention;

[0032] Figure 4 It is a plan view of oncoming vehicles in both lanes according to the present invention;

[0033] Figure 5 It is a reference diagram of the meeting vehicle algorithm at the curve according to the present invention;

[0034] Figure 6 It is a structural diagram of the guiding device for roads with high-curvature and poor sight distance according to the present invention;

[0035] Figure 7 It is a vehicle detection and recognition flow chart according to the present invention;

[0036] Figure 8 It is an obstacle detection and recognition flow chart according to the present invention;

[0037] Figure 9 It is an accident information recognition flow chart according to the present invention;

[0038] In the figure: 1, left-turn lane; 2, starting point for detecting left-turn lane; 3, right-turn lane; 4, guiding device for roads with poor sight distance; 5, curve area; 6, obstacle; 7, starting point for detecting right-turn lane; 401, Led screen A; 402, rotating shaft A; 403, solar backplane A; 404, infrared sensor A; 405, robotic arm A; 406, main shaft; 407, column; 408, video detection camera; 409, solar roof panel; 410, lighting device; 411, robotic arm B; 412, infrared sensor B; 413, solar backplane B; 414, rotating shaft B; 415, central controller; 416, Led screen B; 417, accident alarm button; 418, humidity sensor; 419, mounting base. Detailed implementation manners

[0039] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the protection scope of the present invention is not limited thereto.

[0040] As Figure 1-4 shown, a guiding device for roads with poor sight distance and high curvature according to the present invention is arranged outside the road at the curve node, so that the device can accurately identify road information and clearly present guiding information.

[0041] As Figure 6As shown in the figure, the main body of a guiding device for high-curvature roads with poor sight distance according to the present invention is a column 407. The lighting device 410 is fixed at the top of the column 407 and cannot rotate. A solar roof plate 409 is installed on the top of the lighting device 410. Below the lighting device 410, a video detection camera 408 is fixed at three-quarters of the column 407 and can rotate around the axis of the column 407. According to the specific road conditions, the video detection camera 408 can move up and down. The middle part of the column 407 is a main shaft 406, and the main shaft 406 can rotate and move up and down around the column 407. The robotic arm A 405 and the robotic arm B 411 are connected and fixed at the main shaft 406. The robotic arm A 405 and the robotic arm B 411 are composed of three sections of mechanical devices and can move horizontally. The ends of the robotic arm A 405 and the robotic arm B 411 are respectively connected and fixed to a rotating shaft A 402 and a rotating shaft B 414. The Led screen A 401 and the Led screen B 416 are respectively fixed on the rotating shaft A 402 and the rotating shaft B 414 and can rotate around the rotating shaft A 402 and the rotating shaft B 414. The infrared sensor A 404 and the red line sensor B 412 are respectively embedded at the top of the Led screen A 401 and the Led screen B 416. The solar backplane A 403 and the solar backplane B 413 are fixed to the back of the Led screen A 401 and the Led screen B 416. The central controller 415 is fixed at one-quarter of the column 407. The accident alarm button 417 is installed at one-sixth of the column 407. The humidity sensor 418 is installed at one-seventh of the column 407. The installation base 419 is located at the bottom of the column 407.

[0042] The operation method of a guiding device for high-curvature roads with poor sight distance according to the present invention specifically includes:

[0043] (1) Vehicle detection process

[0044] As Figure 2 shown, when a vehicle enters the left-turn lane detection starting point 2, the infrared sensor A 404 emits infrared laser, and the laser is reflected by the moving vehicle, making the ranging different from that on normal roads, so as to detect that a vehicle has passed. To avoid errors in single-sensor detection, the video detection camera 408 transmits the acquired video data to the central controller 415. The central controller 415 performs differential operation on the current frame image and the video image of the empty road at the left-turn lane detection starting point 2 to detect the pre-motion pixel points, thereby detecting that a vehicle has passed. At the same time, the central processor 415 calculates the vehicle speed through the change in the vehicle position in different frame rates captured by the video detection camera 408, and at the same time compares the area of the vehicle in the video image on the road with the area of the video image occupied by different vehicle models on the road to obtain vehicle model information. The specific process is as Figure 7 shown.

[0045] (2) Obstacle recognition process

[0046] As Figure 3 shown, when there are obstacles such as falling rocks and trees in the curve area 5, the guiding device 4 for roads with poor sight distance collects video information through the video detection camera 408, and transmits the video information to the central controller 415. The central controller 415 detects and identifies the obstacles in the video through an image processing algorithm, and extracts key features from the detected obstacles, such as shape and size.

[0047] (3) Internal processing process

[0048] As Figure 6 shown, after the infrared sensor A404, the video detection camera 408, and the infrared sensor B 412 transmit the detected information to the central controller 415, the internal algorithm processes and gives feedback on the vehicle type, vehicle speed, whether there is an oncoming vehicle in the oncoming lane, and whether there are obstacles at the curve. The position information of the guiding device 4 for roads with poor sight distance (which can be determined during installation), such as the road super elevation rate and road curvature, and the data detected by the humidity sensor 418 are transmitted to the central controller 415, and the maximum recommended speed V of the vehicle passing through the curve area 5 is obtained through the algorithm shown in (11). 建 Finally, the central controller 415 transmits the obtained information to the Led screen A401 and the Led screen B416, and controls the main shaft 406, the robotic arm A405, the robotic arm B411, the rotating shaft A402, and the rotating shaft B414 to adjust the postures of the Led screen A401 and the Led screen B416, and send a guiding signal to the vehicle.

[0049] (4) Device guiding process

[0050] As Figure 7 shown, after the central controller 415 sends a processing signal, the robotic arm A405 and the rotating shaft A402 will adjust the angle and height of the Led screen A401 in real time according to the recognized vehicle type, so that the guiding signal can be clearly seen by the driver. Similarly, the Led screen B416 adjusts the angle and height driven by the robotic arm B411. According to different road conditions, the Led screen A401 and the Led screen B416 will respectively display three background colors of red, yellow, and blue, and display guiding slogans and recommended vehicle speeds on them.

[0051] (5) Energy storage process

[0052] As Figure 6As shown in the figure, the solar backplane A403, the solar top plate 409, and the solar backplane B413 can convert solar energy into electrical energy and store it in the internal power supply under good weather conditions. When the video detection camera 408 detects night, due to the decrease in vehicle flow at night and considering the issue of energy consumption, the video detection camera 408 will not keep working. The internal power supply only supplies power to the infrared sensor A404, the infrared sensor B412, and the lighting device 410. When the infrared sensor identifies an approaching vehicle, the central controller 415 activates the Led screen A401, the Led screen B416, and the video detection camera 408, enabling the guiding device 4 for roads with poor visibility to reduce energy consumption and achieve the purpose of energy conservation.

[0053] (6) There is only a single-lane approaching vehicle

[0054] As Figure 2 shown in the figure, if there is an approaching vehicle on the left-turn lane 1, when the vehicle travels to the left-turn lane detection starting point 2, the guiding device 4 for roads with poor visibility detects the vehicle speed and sends a signal through the Led screen A401 to remind the approaching vehicle that there is no approaching vehicle in the oncoming lane and the recommended speed v1 (not exceeding the maximum recommended speed) for traveling to the turning curve area 5, thereby guiding the vehicle to quickly pass through the curve area 5 and drive out of the curve. If there is an approaching vehicle on the right-turn lane 2, the process is the same.

[0055] (7) There are approaching vehicles in both lanes

[0056] As Figure 4 shown in the figure, if there is an approaching vehicle on the left-turn lane 1, when the vehicle travels to the lane detection starting point 2, the guiding device 4 for roads with poor visibility detects the vehicle speed. When the vehicle on the left-turn lane 1 travels to the middle of the left-turn lane detection starting point 2 and the curve area 5, a vehicle arrives at the right-turn lane detection starting point 7 at the right-turn lane 3. The central controller 15 processes the vehicle speed information of both lanes in real time and calculates through an internal algorithm whether the vehicles on the left-turn lane 1 and the right-turn lane 3 will meet at the curve area 5. When no meeting will occur, the guiding device 4 for roads with poor visibility will send a signal to remind the vehicle on the left-turn lane 1 that there will be an approaching vehicle in the oncoming lane, please quickly drive out of the curve area 5, and the recommended speed v2 does not exceed the maximum recommended speed; at the same time, it sends a signal to remind the approaching vehicle on the right-turn lane 3 that there will be an approaching vehicle in the oncoming lane of the curve area 5 and gives the recommended speed v3. At this time, the recommended speed v3 is the designed speed of this lane. After the vehicle on the left-turn lane 1 drives out of the curve area 5 and it is determined that there is no approaching vehicle in the oncoming lane, the recommended speed v3 is changed in real time (the changed speed does not exceed the maximum recommended speed) to guide the vehicle on the right-turn lane 3 to quickly and safely pass through the curve area 5 and drive out of the curve. When a meeting will occur, the guiding device 4 for roads with poor visibility will send a warning signal to both the vehicle on the left-turn lane 1 and the vehicle on the right-turn lane 3: A meeting will occur in the front curve area, reminding the vehicles in both lanes to slow down (lower than the designed speed of the lane) and drive slowly to safely drive out of the curve.

[0057] (8) There are obstacles in the lane

[0058] As Figure 3 shown, when there are obstacles such as falling rocks or fallen trees falling into the curve area 5, the guiding device 4 for roads with poor visibility can identify the degree of influence of the obstacles on driving. When the obstacles occupy less than one-fifth of the lane space or are located on the outer edge of the road, it is not enough to affect normal driving, and the guiding device 4 for roads with poor visibility will not send a signal; when the obstacles occupy about two-fifths of the lane space or are located in the middle of the lane, slightly affecting normal driving, the guiding device 4 for roads with poor visibility will send a signal to remind the vehicles coming from the left-turn lane 1 and the right-turn lane 3: There is a small obstacle at the curve, please drive carefully; when the obstacles occupy about one-half of the lane space or are located at the center of the lane, affecting normal driving, the guiding device 4 for roads with poor visibility sends a signal to warn the vehicles coming from the left-turn lane 1 and the right-turn lane 3: There is a large obstacle at the curve, please stop and observe before passing, and send a message to the highway management station: There is a large obstacle in this area and it needs to be cleared in time. The specific process is as Figure 8 shown.

[0059] (9) Accident alarm and recording

[0060] As Figure 1 shown, the road with poor visibility is a high-incidence section of accidents. Usually, the curve area 5 is the main area where accidents occur. When the vehicles in the left-turn lane 1 and the right-turn lane 3 collide in this area, if the driver needs to call the police to handle the accident, he can press the accident alarm button 417 to send the accident location to the traffic police. At the same time, the traffic police can also watch the accident situation in real time through the video detection camera 408, so that the traffic police can dispatch the police. At the same time, the video information captured by the video detection camera 408 can also provide evidence for the determination of accident liability. When a major accident occurs and both drivers of the two-lane vehicles lose consciousness and are unable to call the police by themselves, when the video detection camera 408 identifies that there is a vehicle that has not moved for a long time in the curve area 5, and the central controller 415 identifies this information, it will call the police by itself and send the accident location and the video information of the video detection camera 408, so that the police can obtain the accident scene information in the first time and carry out rescue operations to reduce the severity of the accident when it occurs. At the same time, the guiding device 4 for the road with poor visibility will display accident warning information on the Led screen of the corresponding lane. When the remaining vehicles are about to enter the curve, the central controller 415 will adjust the Led screen after detecting the information of the following vehicles so that it can be clearly seen by the driver, guiding the vehicle to pass through the curve quickly and safely. The specific process is as Figure 9 shown.

[0061] (10) Whether there is oncoming traffic at the curve area 5

[0062] Assume T: the moment when vehicle a reaches the starting point 2 of the left-turn lane detection

[0063] T1: the moment when vehicle a reaches the central controller 415 to calculate the vehicle speed of vehicle a from the starting point 2 of the left-turn lane detection

[0064] T2: the moment when vehicle b reaches the starting point 7 of the right-turn lane detection

[0065] T3: the moment when vehicle b reaches the central controller 415 to calculate the vehicle speed of vehicle b from the starting point 7 of the right-turn lane detection

[0066] T4: the moment when vehicle b reaches the curve area 5

[0067] V1: the vehicle speed of vehicle a

[0068] V2: the vehicle speed of vehicle b

[0069] V3: the designed vehicle speed of vehicle a corresponding to the road conditions in the curve area 5 (usually a fixed value)

[0070] Figure 5 Among them, x is the lane length from the starting point 2 of the left-turn lane detection to the curve area 5; x1 is the distance traveled by vehicle a within the time T1; x2 is the distance traveled by vehicle a from T1 to T2; x3 is the distance traveled by vehicle b from T3 to T2; x4 is the distance between vehicle a and the curve area 5 at the moment T3; x5 is the lane length of the right-turn lane 3 located in the curve area 5; x6 is the lane length of the left-turn lane 1 located in the curve area 5; x7 is the lane length from the starting point 7 of the right-turn lane detection to the curve area 5; x8 is the distance traveled by vehicle b from T3 to T2. Therefore:

[0071] x1 = V1 × T1

[0072] x2 = V1 × (T2 - T1)

[0073] x3 = V1 × (T3 - T2)

[0074] x4 = x - (x1 + x2 + x3)

[0075] x8 = V2 × (T3 - T2)

[0076] x, x5, x6, x7 are fixed values according to different road conditions;

[0077] T4 = (x7 - x8) / V2. When T4 ≥ (x4 / V1) + (x6 / V3), vehicles a and b meet at the curve area 5. When T4 < (x4 / V1) + (x6 / V3), vehicles a and b do not meet at the curve area 5.

[0078] (11) Recommended vehicle speed at the curve area 5

[0079] The maximum recommended vehicle speed V for passing through the curve area 建 Calculation:

[0080] V 建 = Vα

[0081] Here, the correction coefficient α is adopted, and α varies according to different vehicle types (α is an empirical value, and different vehicle types include small passenger cars, small trucks, and large passenger and freight vehicles). V is the maximum allowable driving speed, and R is the radius of the circular curve of the curve, is the lateral friction coefficient of the road. For a dry road surface, the value range is 0.4 - 0.8. For a wet asphalt road surface, the value range is 0.25 - 0.4. ih is the lateral super-elevation slope of the road. ih and R vary according to different road conditions, but are fixed values after the road conditions are determined.

[0082] The described embodiment is a preferred embodiment of the present invention, but the present invention is not limited to the above embodiment. Without departing from the essential content of the present invention, any obvious improvements, substitutions, or modifications that those skilled in the art can make all fall within the protection scope of the present invention.

Claims

1. A guidance device for roads with high curvature and poor visibility, characterized in that: include: The column (407) is equipped with a video detection camera (408), a main shaft (406), a central controller (415) and a humidity sensor (418) in order from top to bottom; A mechanical arm A (405) and a mechanical arm B (411) are fixed at the main shaft (406); the ends of the mechanical arm A (405) and the mechanical arm B (411) are respectively connected to and fixed to a rotating shaft A (402) and a rotating shaft B (414); an LED screen A (401) and an LED screen B (416) are respectively fixed to the rotating shaft A (402) and the rotating shaft B (414); and the LED screen A (401) and the LED screen B (416) can rotate around the rotating shaft A (402) and the rotating shaft B (414) respectively; and an infrared sensor A (404) and a red line sensor B (412) are respectively embedded at the top of the LED screen A (401) and the LED screen B (416).

2. The guidance device for high-curvature and poor-visibility roads according to claim 1, characterized in that: It also includes a solar top panel (409), a solar back panel A (403) and a solar back panel B (413), wherein the solar top panel (409) is installed on the top of the column (407), and the solar back panel A (403) and the solar back panel B (413) are respectively fixed on the back of the LED screen A (401) and the LED screen B (416).

3. The guidance device for high-curvature and poor-visibility roads according to claim 2, characterized in that: Also included is a lighting device (410), which is located below the solar roof panel (409).

4. The guidance device for high-curvature and poor-visibility roads according to claim 1, characterized in that: Also included is an emergency alarm button (417), which is located above the humidity sensor (418).

5. The guidance device for high-curvature and poor-visibility roads according to claim 1, characterized in that: The video detection camera (408) can rotate around the axis of the column (407) and can move up and down along the column (407).

6. An operating method of the guidance device for high curvature and poor visibility roads according to claims 1-5, characterized in that: Vehicle detection: The passing of a vehicle is detected by using the data collected by the infrared sensor A (404), the red line sensor B (412) and the video detection camera (408). At the same time, the speed and vehicle model information are obtained from the data collected by the video detection camera (408); Obstacle identification: Obstacle information is obtained from data collected by the video detection camera (408); The central controller (415) processes the vehicle type, vehicle speed, whether there are oncoming vehicles in the opposite lane, and whether obstacles at the curve affect the driving of the vehicle; Combined with the location information of the guidance device on the road with poor visibility and the humidity data, the maximum recommended speed V for the vehicle to pass through the curve area (5) is obtained. 建 ; When there is only a single lane with oncoming vehicles, when the vehicle travels to the lane detection starting point, the guidance device for the road with poor visibility detects the vehicle speed and sends a signal through the LED screen to remind the oncoming vehicle: there is no oncoming vehicle in the opposite lane and the recommended speed v1 for traveling to the turning area (5), thereby guiding the vehicle to quickly pass through the turning area (5) and leave the curve; the recommended speed v1 does not exceed the maximum recommended speed V 建 ; When there are oncoming vehicles in both lanes, the central controller (15) processes the vehicle speed information of both lanes in real time and determines whether the vehicles in the left-turn lane (1) and the right-turn lane (3) will meet at the curve area (5); when there is no meeting, the guidance device of the road with poor visibility sends a signal to remind the vehicle in the left-turn lane (1): there will be oncoming vehicles in the opposite lane, please leave the curve area (5) quickly, and the recommended vehicle speed v2 does not exceed the maximum recommended speed V 建 , and at the same time, a signal is sent to remind the vehicle in the right-turn lane (3): there will be a vehicle in the opposite lane of the curve area (5), and a recommended speed v3 is given, and the recommended speed v3 is the design speed of the lane; when a vehicle is about to meet, the guidance device of the road with poor visibility simultaneously sends a warning signal to the vehicle in the left-turn lane (1) and the vehicle in the right-turn lane (3): there will be a vehicle in the curve area ahead, and remind the two-lane vehicles to drive at a speed lower than the lane design speed and safely leave the curve; When an obstacle falls into the curve area (5), the guidance device of the road with poor visibility identifies the degree of impact of the obstacle on driving: when the obstacle occupies less than one-fifth of the lane space or is located at the outer edge of the road, it is not enough to affect normal driving, and the guidance device of the road with poor visibility will not send a signal; when the obstacle occupies two-fifths of the lane space or is located in the middle of the lane, slightly affecting normal driving, the guidance device of the road with poor visibility sends a signal to remind the oncoming vehicles in the left turn lane (1) and the right turn lane (3): There is a small obstacle at the curve, please drive carefully; when the obstacle occupies one-half of the lane space or is located in the center of the lane, affecting normal driving, the guidance device of the road with poor visibility sends a signal to warn the oncoming vehicles in the left turn lane (1) and the right turn lane (3): There is a large obstacle at the curve, please stop and observe before passing, and send a message to the highway management station: There is a large obstacle in this area and it needs to be cleared in time.

7. The operation method according to claim 6, characterized in that: Whether a vehicle oncoming occurs at the curve area (5) is determined by the following method: When T4≥(x4 / V1)+(x6 / V3), car a in the left-turn lane and car b in the right-turn lane meet at the curve area (5); When T4<(x4 / V1)+(x6 / V3), cars a and b do not meet in the curve area (5); Wherein, T4 represents the time when vehicle b arrives at the curve area (5), and T4 = (x7-x8) / V2, x7 is the lane length from the right turn lane detection starting point (7) to the curve area (5), x8 is the distance traveled by vehicle b from T3 to T2, V2 is the speed of vehicle b, x4 is the distance between vehicle a and the curve area (5) at time T3, x6 is the lane length of the left turn lane (1) in the curve area (5), V1 is the speed of vehicle a, and V3 is the design speed of vehicle a in the curve area (5) corresponding to the road conditions.

8. The operation method according to claim 6, characterized in that: The maximum recommended speed V for the vehicle to pass through the curve area (5) 建 =Vα, α is the correction coefficient, which is determined according to different vehicle models, V is the maximum allowable driving speed, and R is the radius of the curve. is the lateral friction coefficient of the road, and ih is the lateral superelevation slope of the road.

9. The operation method according to claim 6, characterized in that: The invention also includes an energy storage process: the solar back panel A (403), the solar top panel (409), and the solar back panel B (413) convert solar energy into electrical energy and store it in an internal power supply under good weather conditions; at night, the video detection camera (408) will not work all the time, and the internal power supply will only supply power to the infrared sensor A (404), the infrared sensor B (412), and the lighting device (410); when there is an approaching vehicle, the central controller (415) activates the LED screen A (401), the LED screen B (416), and the video detection camera (408).

10. The operation method according to claim 6, characterized in that: The system also includes the process of accident alarm and recording: when an accident occurs in the curve area (5), the accident location is sent to the traffic police through the accident alarm button (417), and the traffic police can also watch the accident in real time through the video detection camera (408). At the same time, the video information captured by the video detection camera (408) provides evidence for the determination of accident responsibility; when a major accident occurs and the driver is unable to call the police on his own, the video detection camera (408) recognizes that the vehicle in the curve area (5) has not moved for a long time, and the central controller (415) automatically calls the police and sends the accident location and video information.

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