Highway vehicle speed regulation and control and lane guidance traffic system and control method

Abstract

The invention discloses a highway vehicle speed regulation and control and lane guide traffic system and a control method, and relates to the technical field of intelligent traffic, the system comprises the following components: a data acquisition module, a big data analysis module, a reversible lane control module and a vehicle speed regulation and control cooperation module; according to the invention, the data acquisition module collects the number, speed and direction information of vehicles and meteorological data on the highway in real time, the big data analysis module predicts the traffic flow change trend by using an advanced algorithm, and based on this, the reversible lane control module can automatically adjust the lane layout to adapt to traffic demands in different directions, effectively alleviate traffic congestion, and improve the traffic efficiency. And the vehicle speed regulation and control cooperation module carries out personalized and refined regulation and control on the vehicle speed according to the new lane layout and the traffic flow, so that the smooth traffic is ensured, the driving safety is improved, in addition, the system also considers the influence of the road gradient and curvature on the vehicle speed, and the driving safety is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent transportation, and particularly to a highway vehicle speed regulation and lane guidance traffic system and a control method therefor. Background Art

[0002] With the acceleration of the urbanization process and the sharp increase in the number of motor vehicles, highways, as an important part of urban transportation, are facing increasingly severe traffic congestion problems. Traffic congestion not only leads to a decrease in driving speed, increases the travel time cost, but also exacerbates air pollution and energy consumption, having an adverse impact on social and economic development and the quality of residents' lives. In order to effectively alleviate traffic congestion and improve the traffic capacity of highways, domestic and foreign traffic management departments and technical personnel have continuously explored and innovated traffic management means and technologies.

[0003] In traditional traffic management systems, traffic flow is mainly guided by manual monitoring and fixed traffic signs and markings. This method has many limitations: First, it is difficult for manual monitoring to timely and accurately grasp the traffic conditions of the entire road section, resulting in low traffic guidance efficiency; Second, fixed traffic signs and markings cannot be dynamically adjusted according to real-time traffic flow, and it is difficult to adapt to traffic demand changes in different time periods and directions; Third, the comprehensive consideration of meteorological conditions and traffic influencing factors of surrounding roads is lacking, resulting in traffic management strategies lacking pertinence and effectiveness; Finally, traditional systems often adopt a one-size-fits-all approach in vehicle speed regulation, failing to fully consider the differences in vehicle types and driver behavior characteristics, and it is difficult to achieve personalized and refined vehicle speed management.

[0004] In summary, traditional traffic management systems have shown obvious deficiencies in the face of increasingly complex traffic environments and growing traffic demands. Therefore, in order to overcome these shortcomings and improve the traffic operation efficiency and safety of highways, it is particularly important to develop a highway vehicle speed regulation and lane guidance traffic system and a control method therefor. Summary of the Invention

[0005] The purpose of the present invention is to make up for the deficiencies of the prior art, and provide a highway vehicle speed regulation and lane guidance traffic system and a control method therefor. It can realize the comprehensive perception, intelligent analysis and dynamic regulation of highway traffic flow by integrating multiple modules such as data collection, big data analysis, tidal lane control and vehicle speed regulation coordination, providing a new solution for alleviating traffic congestion and improving driving safety.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: On the one hand, a highway vehicle speed regulation and lane guidance traffic system, the system includes the following components: a data collection module, a big data analysis module, a tidal lane control module and a vehicle speed regulation coordination module;

[0007] The data acquisition module: Deploy various sensors on each section of the highway to collect information on the number, speed, and driving direction of passing vehicles in real time, as well as meteorological data and information on the surrounding roads that affect traffic, and transmit it to the data processing center;

[0008] The big data analysis module: Deeply analyze multi-source data using algorithms, establish a traffic flow prediction model, and predict the changing trends of traffic flow in different sections and directions in the future;

[0009] The tidal lane control module: Based on the prediction results of the big data analysis module, automatically judge the lane demand in each direction. When the traffic flow reaches the set congestion threshold, start the tidal lane adjustment program, change the opening and closing time and direction of the tidal lane by controlling the movable isolation facilities, and at the same time convey the adjustment information to the drivers through the traffic information release system;

[0010] The vehicle speed regulation and coordination module: When the tidal lane is adjusted, reasonably regulate the vehicle speed according to the new lane layout and traffic flow.

[0011] Furthermore, in the data acquisition module, the geomagnetic sensors are arranged in a distributed manner, and the high-definition cameras have intelligent image recognition functions. They can not only identify the driving direction and license plate number of vehicles, but also analyze the vehicle types. The millimeter-wave radars are installed at key positions of curves and ramps. By emitting millimeter waves and receiving the reflected waves, use the formula to calculate the vehicle speed, where v is the vehicle speed, c is the speed of light, Δf is the frequency difference between the received wave and the transmitted wave, f0 is the transmitted wave frequency. In addition to collecting conventional temperature, humidity, wind speed, and rainfall data, the meteorological sensors are also equipped with visibility sensors to measure visibility using the optical scattering principle. The data acquisition frequency is once per minute to ensure timely acquisition of accurate meteorological information for subsequent analysis.

[0012] Even further, the big data analysis module uses an adaptive weight traffic flow prediction algorithm. Let the historical traffic flow data be H i,t , i represents the section number, t represents the time, and the real-time traffic flow data is R i,t , and the established prediction model formula is: where P i,t+n is the predicted traffic flow in the future n time periods, α is the weight balance coefficient between historical data and real-time data, and its value range is [0.3, 0.7], which is determined through the comparative analysis of historical data and real-time data and expert experience. w j and v k are the time weights of historical data and real-time data respectively λ1 and λ2 are time decay factors, which are determined by multiple simulations and optimizations according to the traffic flow change rules of different road sections. Their value ranges are [0.1, 0.3] and [0.2, 0.4] respectively. This algorithm can adapt to the traffic flow characteristics of different road sections and time periods, improving the prediction accuracy.

[0013] Furthermore, in the tidal lane control module, the movable isolation facility adopts an intelligent hydraulic drive system with automatic detection and positioning functions. When receiving a control instruction, through the built-in displacement sensor and angle sensor, using the formula it precisely controls the moving direction and position, where θ is the moving angle of the isolation facility, and Δy and Δx are the vertical and horizontal displacements respectively. The surface of the isolation facility is coated with high-brightness reflective materials and a self-cleaning coating to ensure clear visibility at night and in bad weather, and it can automatically clean the surface stains to maintain good visibility. At the same time, in addition to variable message signs and in-vehicle navigation push, the traffic information release system also adds a mobile phone text message reminder function. For drivers who do not turn on the in-vehicle navigation or do not pay attention to the variable message signs, a text message is sent 15 minutes before the vehicle enters the tidal lane adjustment section, informing the tidal lane adjustment information and the new driving route to ensure the comprehensiveness of information transmission.

[0014] Furthermore, when the vehicle speed regulation and coordination module adjusts the vehicle speed, it considers the vehicle type and driver behavior characteristics. For small cars, medium-sized cars, and large cars, it collects the driver's acceleration, deceleration, and hard braking behavior data through in-vehicle OBD devices. For drivers with stable driving behaviors, after the traffic flow stabilizes, the speed limit is relaxed, and the fuzzy control algorithm is used to determine the vehicle speed adjustment range. Let the driver behavior stability be B, with a value range of [0, 1], obtained through the fuzzy processing of driving behavior data, and the traffic flow stability be F, with a value range of [0, 1], determined according to the ratio of the road section traffic flow to the congestion threshold. The vehicle speed adjustment coefficient K = 0.3B + 0.7F, and the speed limit sign is adjusted according to the K value to achieve personalized and refined vehicle speed regulation.

[0015] Furthermore, an encrypted transmission protocol is adopted between the data acquisition module and the big data analysis module to prevent data from being stolen or tampered with during transmission. The AES-256 encryption algorithm is used to encrypt the data collected by the sensors. The encryption key is generated through quantum key distribution technology to ensure the security and randomness of the key. In the data processing center, multiple layers of firewalls and intrusion detection systems are set up to monitor the network traffic in real time, give early warnings and block abnormal traffic. At the same time, the stored data is regularly backed up, and the off-site distributed storage method is adopted to store the backup data on servers in different geographical locations to prevent data loss caused by local server failures and ensure the security and integrity of the data.

[0016] Furthermore, the big data analysis module also has the function of detecting abnormal events. By establishing an abnormal event detection model, it monitors and analyzes traffic flow data in real time. Assuming the normal traffic flow range is [L, U], when the traffic flow Q in a certain period exceeds this range, the flow deviation D is calculated using the formula where is the average traffic flow in the same period of history of this section of the road, and σ is the standard deviation. When D is greater than the set threshold D > 2, it is determined that an abnormal event may occur. At the same time, combined with camera image recognition and sensor data, the type of abnormal event is further confirmed, and the information is transmitted to the tidal lane control module and the vehicle speed regulation coordination module in a timely manner, so as to make corresponding adjustments and improve the system's ability to respond to emergencies.

[0017] Furthermore, the tidal lane control module establishes an information sharing mechanism with the traffic management systems of surrounding roads. Through the communication network, it exchanges traffic flow, lane usage, and accident information in real time. When there is congestion or an accident on the surrounding roads, this system adjusts the tidal lane strategy according to the shared information. At the same time, it feeds back the tidal lane adjustment information of this highway to the surrounding road management systems to achieve the coordinated optimization of regional traffic and improve the overall traffic operation efficiency.

[0018] Furthermore, the vehicle speed regulation coordination module also considers the influence of road slope and curvature on vehicle speed. On sections with a large slope, according to the slope angle β, the vehicle speed limit is reduced using the formula v limit = v base ×(1 - 0.05β), where v base is the normal speed limit on flat roads. At curves, according to the curve radius R of the curve, the reasonable vehicle speed limit is determined using the formula where μ is the road surface friction coefficient, g is the acceleration due to gravity, and θ is the road superelevation angle. At the same time, the vehicle speed suggestion and safety tips for the current section of the road are displayed to the driver in real time through the in-vehicle display screen to further improve driving safety.

[0019] On the other hand, a traffic control method for vehicle speed regulation and lane guidance on a highway is characterized in that the specific steps of this method are as follows:

[0020] S1. Data collection step: Deploy geomagnetic sensors, millimeter-wave radars, high-definition cameras, and meteorological sensors on each section of the highway to collect vehicle driving information and meteorological data in real time, and transmit the data to the data processing center;

[0021] S2. Big data analysis step: Use specific algorithms to construct a prediction model based on historical and real-time traffic flow data to predict the future traffic flow change trends in different sections and directions;

[0022] S3. Tidal lane control steps: According to the results of big data analysis, judge the lane demands in each direction. When the traffic volume reaches the congestion threshold, start the tidal lane adjustment program, control the movable isolation facilities to change the lane settings, and release the adjustment information to drivers through various means.

[0023] S4. Vehicle speed regulation coordination steps: In coordination with the tidal lane adjustment, based on the new lane layout and traffic flow, reasonably regulate the vehicle speed for different vehicle types, and adjust the speed limit in combination with the driver behavior characteristics.

[0024] Compared with the prior art, the high-speed road vehicle speed regulation and lane guidance traffic system and control method have the following beneficial effects:

[0025] First, the system of the present invention collects the vehicle quantity, speed, direction information and meteorological data on the highway in real time through the data collection module. The big data analysis module uses advanced algorithms to predict the traffic flow change trend. Based on this, the tidal lane control module can automatically adjust the lane layout to adapt to the traffic demands in different directions, effectively relieve traffic congestion. The vehicle speed regulation coordination module then makes personalized and refined regulation of the vehicle speed according to the new lane layout and traffic flow, ensuring both smooth traffic and improved driving safety. In addition, the system also considers the influence of road slope and curvature on the vehicle speed, further enhancing driving safety.

[0026] Second, the system of the present invention has the abnormal event detection function through the big data analysis module, can monitor the traffic flow data in real time, and timely discover and respond to possible abnormal events, such as traffic accidents or road construction, thus reducing the traffic congestion risk caused by emergencies. At the same time, an encrypted transmission protocol is adopted between the data collection module and the big data analysis module to ensure the security of data during transmission. The data processing center is provided with multiple layers of firewalls and intrusion detection systems to monitor the network traffic in real time, give early warnings and block abnormal traffic. In addition, the system also uses the off-site distributed storage method to back up data to prevent data loss due to local server failures, thus ensuring the security and integrity of data.

[0027] Other advantages, objectives and features of the present invention will be described to some extent in the subsequent specification, and to some extent, will be obvious to those skilled in the art based on the study of the following text, or can be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] To more clearly illustrate the technical solutions in the embodiments of the present invention or in the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0029] Figure 1 It is a flow operation diagram of a highway vehicle speed regulation and lane guidance traffic system;

[0030] Figure 2 It is a flow operation diagram of a highway vehicle speed regulation and lane guidance traffic control method. Detailed implementation manners

[0031] To further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following will, in conjunction with the drawings and preferred embodiments, detail the specific implementation manners, structures, features and their effects of the present invention as follows.

[0032] Embodiment 1

[0033] This embodiment describes a highway section connecting the main urban area and the industrial park in a certain city. During the morning rush hour on weekdays, the traffic flow on this section shows an obvious tidal phenomenon, with a large traffic volume in the inbound direction and a small traffic volume in the outbound direction.

[0034] Geomagnetic sensors are distributed on each section of the highway. With its intelligent image recognition function, the high-definition camera can not only accurately identify the driving direction of vehicles, but also analyze the vehicle types. At the bend, the millimeter-wave radar plays a key role. It emits millimeter waves and receives the reflected waves, and uses the formula (where v is the vehicle speed, c is the speed of light, Δf is the frequency difference between the received wave and the transmitted wave, and f0 is the transmitted wave frequency) to accurately calculate the vehicle speed. The meteorological sensor is also working synchronously, collecting meteorological data of temperature 25°C, humidity 60%, and wind speed 3m / s. Its additional visibility sensor measures using the optical scattering principle and obtains good visibility at this time. These collected vehicle driving information and meteorological data are like a continuous information flow, which is transmitted to the data processing center in real time, providing a solid data basis for subsequent traffic decisions.

[0035] The big data analysis module uses the adaptive weight traffic flow prediction algorithm to deeply mine the collected data. Let the historical traffic flow data be H i,t , i represents the section number, t represents the time, and the real-time traffic flow data is R i,t , and the prediction model formula established by it is Here, α is the weight balance coefficient between historical data and real-time data, which determines the relative importance of historical data and real-time data in prediction, w j and v k are the time weights of historical data and real-time data respectively, and the calculation formula is λ1 and λ2 are time decay factors, which reflect the change of data importance over time. Through this complex and delicate algorithm, the system analyzes a large amount of data and finally concludes that the traffic flow in the inbound direction will continue to increase and reach the congestion threshold.

[0036] Based on the big data analysis results, the tidal lane control module quickly responds and starts the adjustment program. The intelligent hydraulic-driven movable isolation facility is the key equipment to realize the tidal lane adjustment. It has automatic detection and positioning functions. When receiving the control instruction, its built-in displacement sensor and angle sensor start to work. Using the formula (where θ is the rotational angular velocity of the isolation surface, and Δy and Δx are the vertical and horizontal displacements of the movement respectively) to accurately control the movement direction and position. Just like a well-trained robot, it accurately adjusts a lane in the outbound direction to a tidal lane in the inbound direction. To ensure that drivers can be informed of the lane adjustment information in time, the traffic information release system publishes information through multiple channels. The variable message sign stands tall by the roadside, prominently displaying the tidal lane adjustment information; the in-vehicle navigation will also push relevant prompts in time to guide drivers to choose the correct lane. For those drivers who do not turn on the in-vehicle navigation or do not pay attention to the variable message sign, the system also thoughtfully adds a mobile phone text message reminder function. It sends a text message 15 minutes before the vehicle enters the tidal lane adjustment section, informing the tidal lane adjustment information and the new driving route.

[0037] After the tidal lane is adjusted, the vehicle speed regulation and coordination module starts to reasonably regulate the vehicle speed. It fully considers the vehicle type and driver behavior characteristics, and collects driver behavior data such as acceleration, deceleration, and hard braking through the in-vehicle OBD device. For drivers with stable driving behaviors, after the traffic flow stabilizes, the system will appropriately relax the vehicle speed limit. The system uses a fuzzy control algorithm to determine the vehicle speed adjustment range. Let the driver behavior stability be B and the traffic flow stability be F. The vehicle speed adjustment coefficient K = 0.3B + 0.7F. Then, according to the K value, the speed limit sign is adjusted to achieve personalized and refined vehicle speed regulation, which not only ensures the road traffic efficiency but also takes into account driving safety.

[0038] Example 2

[0039] This embodiment describes that during major holidays such as National Day and Spring Festival every year in a famous tourist city, there will be a peak period when a large number of tourists go to the local famous scenic spots. The highways around the city become the key channels connecting the main transportation hubs of the city and the scenic spots. The traffic flow surges, bringing huge challenges to traffic management.

[0040] All kinds of sensors in the data collection module are fully operational. The high-definition cameras not only identify a large number of vehicles with out-of-town license plates but also accurately analyze the vehicle types. It is found that small private cars, large tourist buses, and some medium-sized commercial vehicles and MPV vehicles account for a relatively large proportion. The meteorological sensors detect rainy weather, and the visibility decreases due to the rain, which has an adverse impact on the traffic conditions. The geomagnetic sensors continuously collect the changes in the number of passing vehicles, and the millimeter-wave radars accurately measure the vehicle speeds, providing key data support for subsequent traffic decisions.

[0041] Based on the historical and real-time traffic flow data collected, the big data analysis module conducts in-depth analysis using the adaptive weight traffic flow prediction algorithm. The prediction results show that the traffic flow on some sections of the highway leading to the scenic spot will increase sharply within the next 2 hours, and the traffic flow on some key sections is expected to approach the congestion threshold. This prediction result provides an important decision-making basis for subsequent traffic regulation.

[0042] After receiving the prediction results from the big data analysis module, the tidal lane control module quickly starts the adjustment program. Considering the significant increase in the traffic flow demand in the direction of the scenic spot, it adjusts some lanes to the direction of the scenic spot. The intelligent hydraulic-driven movable isolation facilities rely on the built-in displacement sensors and angle sensors, and use formulas to accurately control the moving direction and position, quickly completing the re-division of the lanes. At the same time, the high-brightness reflective materials and self-cleaning coatings on the surface of the movable isolation facilities play an important role in rainy weather, ensuring that the isolation facilities are clearly visible and guaranteeing the safety of vehicle driving.

[0043] The traffic information release system is fully activated, and it timely releases the tidal lane adjustment information to drivers through various means. The variable message signs display the specific tidal lane adjustment information, including lane changes and driving directions, at prominent positions on the highway. The in-vehicle navigation push function promptly pushes the new route plan to the drivers who have turned on the navigation, guiding them to drive according to the adjusted lanes. The mobile phone text message reminder function sends text messages 15 minutes before the vehicle enters the tidal lane adjustment section to those out-of-town tourists who have not turned on the in-vehicle navigation, informing them of the tidal lane adjustment information and the new driving route, ensuring that every driver can obtain accurate traffic information.

[0044] The vehicle speed regulation coordination module plays a crucial role in this process. Due to the complex types of vehicles on the road and the influence of rainfall on the road surface friction coefficient, this module comprehensively considers various factors for vehicle speed regulation. On sections with a large slope, according to the slope angle, the vehicle speed limit is reduced using the formula v limit = v base ×(1 - 0.05β) to ensure the driving safety of vehicles during climbing. At the bend, combining the road surface friction coefficient after rainfall and the bend curvature radius, the formula is used to determine a reasonable vehicle speed limit to prevent the vehicle from skidding sideways during cornering.

[0045] Meanwhile, for different vehicle types, the vehicle speed regulation coordination module collects driver behavior data through the on-vehicle OBD device. For drivers with stable driving behaviors, after the traffic flow stabilizes, using the fuzzy control algorithm, the vehicle speed adjustment coefficient is determined based on the driving behavior stability and traffic flow stability, and the vehicle speed limit is appropriately relaxed. For drivers with unstable driving behaviors, speed limit management is strengthened to ensure the safety and orderliness of the entire traffic flow. In addition, speed suggestions and rainy-day safety tips, such as "The road is slippery on rainy days, slow down" and "Keep a safe distance and drive carefully", are displayed to the driver in real time through the on-vehicle display screen to further improve driving safety.

[0046] The above are only the preferred embodiments of the present invention and do not impose any form of limitation on the present invention. Although the present invention has been disclosed above with the preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or equivalent changes and modifications within the scope of the technical solution of the present invention without departing from the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A highway speed control and lane guidance traffic system, characterized in that: The system consists of the following components: data acquisition module, big data analysis module, tidal lane control module and vehicle speed control coordination module: The data acquisition module deploys a variety of sensors on various sections of the highway to collect real-time information on the number, speed, and direction of passing vehicles, as well as meteorological data and information on surrounding roads that affect traffic, and transmits them to the data processing center; The big data analysis module: uses algorithms to deeply analyze multi-source data, establishes a traffic flow prediction model, and predicts future traffic flow trends in different sections and directions; The tidal lane control module: automatically determines the lane demand in each direction based on the prediction results of the big data analysis module. When the traffic volume reaches the set congestion threshold, the tidal lane adjustment program is started to change the opening and closing time and direction of the tidal lane by controlling the movable isolation facilities, and at the same time, the adjustment information is communicated to the driver through the traffic information release system; The vehicle speed control coordination module: when the tidal lane is adjusted, the vehicle speed is reasonably controlled according to the new lane layout and traffic flow.

2. A highway vehicle speed control and lane guidance traffic system according to claim 1, characterized in that: In the data acquisition module, the geomagnetic sensors are distributed, and the high-definition camera has an intelligent image recognition function, which can not only identify the vehicle's driving direction and license plate number, but also analyze the vehicle type. The millimeter-wave radar is installed at the key positions of the curve and ramp, and transmits millimeter waves and receives reflected waves, using the formula Calculate the vehicle speed, where v is the vehicle speed, c is the speed of light, Δf is the frequency difference between the received wave and the transmitted wave, and f0 is the frequency of the transmitted wave. In addition to collecting conventional temperature, humidity, wind speed, and rainfall data, meteorological sensors also add visibility sensors to measure visibility using the principle of optical scattering.

3. The highway vehicle speed control and lane guidance traffic system according to claim 1, characterized in that: The big data analysis module uses an adaptive weighted traffic flow prediction algorithm, assuming that the historical traffic flow data is H i,t , i represents the road section number, t represents the time, and the real-time traffic flow data is R i,t , the prediction model formula is: Where P i,t+n is the predicted traffic flow in the next n periods, α is the weight balance coefficient between historical data and real-time data, and w j and v k are the time weights of historical data and real-time data respectively λ1 and λ2 are time decay factors.

4. The highway vehicle speed control and lane guidance traffic system according to claim 1, characterized in that: In the tidal lane control module, the movable isolation facility adopts an intelligent hydraulic drive system with automatic detection and positioning functions. When receiving a control command, it uses the built-in displacement sensor and angle sensor to calculate the position of the tidal lane using the formula Precisely control the direction and position of movement, where θ is the moving angle of the isolation facility, Δy and Δx are the vertical and horizontal displacements of the movement respectively. The surface of the isolation facility is coated with high-brightness reflective material and self-cleaning coating. At the same time, in addition to the variable information board and on-board navigation push, the traffic information release system also adds a mobile phone SMS reminder function. For drivers who have not turned on the on-board navigation or have not paid attention to the variable information board, a text message will be sent 15 minutes before the vehicle enters the tidal lane adjustment section to inform them of the tidal lane adjustment information and the new driving route.

5. The highway vehicle speed control and lane guidance traffic system according to claim 1, characterized in that: When adjusting the vehicle speed, the vehicle speed control collaborative module takes into account the vehicle type and driver behavior characteristics. For small, medium and large vehicles, the driver's acceleration, deceleration and emergency braking behavior data are collected through the on-board OBD equipment. For drivers with stable driving behavior, the speed limit is relaxed after the traffic flow stabilizes. The fuzzy control algorithm is used to determine the speed adjustment range. Assuming the driver's behavior stability is B, the traffic flow stability is F, the speed adjustment coefficient K=0.3B+0.7F, and the speed limit sign is adjusted according to the K value.

6. The highway vehicle speed control and lane guidance traffic system according to claim 1, characterized in that: An encrypted transmission protocol is used between the data acquisition module and the big data analysis module to prevent the data from being stolen or tampered with during transmission. The AES-256 encryption algorithm is used to encrypt the data collected by the sensor. The encryption key is generated through quantum key distribution technology. In the data processing center, a multi-layer firewall and intrusion detection system are set up to monitor network traffic in real time, and abnormal traffic is warned and blocked. At the same time, the stored data is backed up regularly, and a remote distributed storage method is used to store the backup data on servers in different geographical locations to prevent data loss due to local server failure.

7. The highway vehicle speed control and lane guidance traffic system according to claim 1, characterized in that: The big data analysis module also has an abnormal event detection function. By establishing an abnormal event detection model, the traffic flow data is monitored and analyzed in real time. Assuming the normal traffic flow range is [L, U], when the traffic flow Q exceeds this range during a period of time, the formula is used. Calculate the flow deviation D, where is the historical average traffic flow of the road section during the same period, σ is the standard deviation. When D is greater than the set threshold D>2, it is determined that an abnormal event may have occurred. At the same time, combined with camera image recognition and sensor data, the type of abnormal event is further confirmed, and the information is transmitted to the tidal lane control module and the vehicle speed control collaborative module in a timely manner.

8. The highway vehicle speed control and lane guidance traffic system according to claim 1, characterized in that: The tidal lane control module establishes an information sharing mechanism with the traffic management systems of the surrounding roads, and exchanges traffic flow, lane usage, and accident information in real time through the communication network. When congestion or accidents occur on the surrounding roads, the system adjusts the tidal lane strategy based on the shared information. At the same time, the tidal lane adjustment information of the highway is fed back to the surrounding road management system to achieve coordinated optimization of regional traffic and improve overall traffic operation efficiency.

9. The highway vehicle speed control and lane guidance traffic system according to claim 1, characterized in that: The vehicle speed control coordination module also considers the impact of road slope and curvature on vehicle speed. On a road section with a large slope, according to the slope angle β, the formula v limit =v base ×(1-0.05β) reduces the speed limit, where v base The speed limit is for normal flat roads. At curves, according to the curve radius R, the formula is used Determine a reasonable speed limit, where μ is the road friction coefficient, g is the acceleration of gravity, and θ is the superelevation angle of the road. At the same time, the on-board display screen shows the driver the speed recommendations and safety tips for the current section in real time to further improve driving safety.

10. A method for controlling vehicle speed and lane guidance on a highway, applicable to a system for controlling vehicle speed and lane guidance on a highway as claimed in any one of claims 1 to 9, characterized in that: The specific steps of this method are: S1. Data collection step: deploy geomagnetic sensors, millimeter wave radars, high-definition cameras and meteorological sensors on various sections of the highway to collect vehicle driving information and meteorological data in real time and transmit the data to the data processing center; S2, Big data analysis steps: Use specific algorithms to build a prediction model based on historical and real-time traffic flow data to predict future traffic flow trends in different sections and directions; S3, tidal lane control step: according to the big data analysis results, the lane demand in each direction is judged. When the traffic volume reaches the congestion threshold, the tidal lane adjustment program is started to control the movable isolation facilities to change the lane setting, and the adjustment information is released to the driver in various ways; S4. Speed ​​control coordination steps: Cooperate with tidal lane adjustments, reasonably control vehicle speeds for different vehicle types based on new lane layouts and traffic flows, and adjust speed limits based on driver behavior characteristics.

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