Road network refined speed limit governance method and system, medium and electronic equipment

Abstract

The invention discloses a road network refined speed limit treatment method and system, a medium and electronic equipment. The method comprises the following steps that whether the vehicle speed in vehicle operation information triggers the minimum speed threshold value or not is judged; if yes, road level speed limiting and actual road speed limiting are carried out according to the vehicle operation information, and vehicle type corresponding speed limiting and scene area line speed limiting are introduced in the road level speed limiting and actual road speed limiting processes to generate a reference speed limiting value; based on multi-source external factors in the vehicle running process, the influence weight of vehicle running speed limitation is obtained; obtaining a final speed limit value according to the influence weight and the reference speed limit value; and comparing the final speed limit value with the current speed of the vehicle, and judging whether the vehicle is overspeed or not. Therefore, by integrating various exogenous data, the influence weight of the vehicle running speed limit and the road reference speed limit are dynamically superposed, self-adaptive speed limit control over different areas and different scenes is achieved, the safety of the road transportation process is improved, the passing efficiency is improved, and the safety coefficient is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of road transportation traffic safety, and particularly designs a method, system, medium and electronic equipment for fine-grained speed limit management of a road network. Background Art

[0002] There are two main methods of traditional speeding control: Method 1: A fixed threshold is set for each road level at the terminal to perform speed limit warning processing. This method has a coarse granularity and does not conform to actual road conditions.

[0003] Method 2: The dynamic supervision platform plans the routes and sets speed limits for each route. This method is mostly manually drawn, complex to operate, poor in accuracy, and high in cost.

[0004] Regarding the two traditional speeding management methods mentioned above, the terminal fixed speed limit and road-level fixed speed limit modes cannot effectively curb speeding. The production workload of the platform coarse-grained segmented speed limit mode is huge, and the speed limit cannot be updated in time.

[0005] Therefore, it is urgent to design a refined speed limit management plan for the road network and actively explore a long-term mechanism for road transport safety supervision to make safety supervision more accurate, effective, smarter, more refined and more standardized. Summary of the Invention

[0006] The present invention provides a method, system, medium and electronic equipment for refined speed limit management of road networks, exploring a long-term and effective mechanism for optimizing road transport safety supervision, making safety supervision more precise, effective, smarter, more refined and more standardized. In a first aspect, a method for warning of speed limit in a road network diagram is provided, comprising the following steps: Acquire vehicle operation information in real time, and determine whether the vehicle speed in the vehicle operation information triggers a minimum speed threshold; If triggered, the system will perform a pattern match of the road-level speed limit or the actual road speed limit based on the vehicle operation information, and introduce the speed limit corresponding to the vehicle type and the speed limit of the scene area line in the process of road-level speed limit and actual road speed limit to dynamically generate a benchmark speed limit value; The influence weight of vehicle speed limit is obtained based on the multi-source external factors during vehicle operation; Obtaining a final speed limit value according to the influence weight of the vehicle operating speed limit and the reference speed limit value; The final speed limit value is compared with the current speed of the vehicle to determine whether the vehicle is speeding.

[0007] In some embodiments, determining whether the vehicle speed in the vehicle operation information triggers a minimum speed threshold includes: Comparing the vehicle speed in the vehicle operation information to see whether it is greater than or equal to a minimum speed threshold; If it is greater than or equal to the minimum speed threshold, the minimum speed threshold is determined to be triggered, and a pattern match of the road level speed limit or the actual road speed limit is performed.

[0008] In some embodiments, performing pattern matching of a road-level speed limit or an actual road speed limit based on the vehicle operation information includes: Obtaining a vehicle speed limit mode issued by a target user, wherein the vehicle speed limit mode includes a road-level speed limit mode and an actual road speed limit mode; If the road-level speed limit mode is selected, the matching road level and the road-level speed limit corresponding to the road level are obtained based on the electronic map and the vehicle positioning information in the vehicle operation information; if the vehicle speed in the vehicle operation information is greater than or equal to the road-level speed limit, an overspeed alarm message is issued; If it is the actual speed limit mode of the road, the actual speed limit value of the road is matched based on the vehicle positioning information in the vehicle operation information based on the electronic map; if the vehicle speed in the vehicle operation information is greater than or equal to the actual speed limit value of the road, an overspeed alarm message is issued.

[0009] In some embodiments, the process of introducing the vehicle type corresponding speed limit and the scene area line speed limit in the process of road level speed limit and actual road speed limit to dynamically generate the initial speed limit value includes: For the vehicle type in the vehicle operation information, it is necessary to match the actual speed limit value of the vehicle type under the vehicle speed limit mode according to the vehicle type and based on the selected vehicle speed limit mode, and dynamically generate a reference speed limit value; It is determined whether the vehicle positioning information is located in a target scene area. If so, a target speed limit value in the target scene area is obtained as a dynamically generated reference speed limit value.

[0010] In some embodiments, obtaining the influence weight of the vehicle speed limit based on multiple external factors during vehicle operation includes: obtaining weather factors, disaster factors, and real-time road change factors during vehicle operation; The influence weights of the weather factors on the vehicle speed limit, the influence weights of the disaster factors on the vehicle speed limit, and the influence weights of the real-time road change factors on the vehicle speed limit are calculated respectively.

[0011] In some embodiments, the method for calculating the weight of the impact of the weather factor on the vehicle speed limit is shown in the following formula:

[0012] Where, ω wis the weight of the weather factor on the vehicle speed limit; P is the precipitation; V is the visibility; μ is the road friction coefficient; α is the precipitation weight; β is the visibility weight; γ is the road friction coefficient weight; The method for calculating the impact weight of the disaster factors on the vehicle speed limit is shown in the following formula:

[0013] Where, ω d is the impact weight of disaster factors on vehicle speed limit; is the AHP weight of the k-th disaster index; η k L is the correction coefficient of the influence range of the kth disaster indicator; k is the quantitative weight of the k-th disaster indicator; The method for calculating the influence weight of the real-time road change factors on the vehicle speed limit is shown in the following formula:

[0014] Where, ω r is the impact weight of real-time road change factors on vehicle speed limit; q is the traffic flow; r is the impact range of the traffic accident.

[0015] In some embodiments, the method for obtaining the final speed limit value based on the influence weight of the vehicle speed limit and the reference speed limit value is as shown in the following formula:

[0016] in,

[0017] Where V base is the baseline speed limit value; V is the final speed limit value; a is the dominant weight of weather factors; b is the dominant weight of disaster factors; c is the dominant weight of real-time road change factors; φ is the weight amplification coefficient; k is the global risk interaction coefficient.

[0018] Secondly, a road network refined speed limit management system is provided, including: A minimum speed trigger module is used to obtain vehicle operation information in real time and determine whether the vehicle speed in the vehicle operation information triggers the minimum speed threshold; A reference speed limit module is in communication with the minimum speed trigger module. If triggered, it performs a pattern match of the road-level speed limit or the actual road speed limit based on the vehicle operation information, and introduces the vehicle type speed limit and the scene area line speed limit into the process of the road-level speed limit and the actual road speed limit to dynamically generate a reference speed limit value. The external influence module is used to obtain the influence weight of the vehicle speed limit based on multiple external factors during the vehicle operation process; a final speed limit module, which is in communication with the reference speed limit module and the external influence module, and is configured to obtain a final speed limit value based on the influence weight of the vehicle speed limit and the reference speed limit value; and The comparison module is in communication with the final speed limit module and is used to compare the final speed limit value with the current speed of the vehicle to determine whether the vehicle is speeding.

[0019] In a third aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method for fine-grained speed limit management of a road network as described above is implemented.

[0020] In a fourth aspect, an electronic device is provided, comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, wherein the processor implements the road network refined speed limit management method as described above when executing the computer program.

[0021] Compared with the existing technology, the advantages of the present invention are as follows: real-time determination of whether the vehicle speed in the vehicle operation information triggers the minimum speed threshold; if triggered, the road-level speed limit or the actual road speed limit is implemented according to the vehicle operation information; at the same time, the vehicle type speed limit and the scene area line speed limit are introduced into the road-level speed limit and the actual road speed limit process to dynamically generate a benchmark speed limit value; the influence weight of the vehicle operation speed limit is obtained based on the multi-source external factors in the vehicle operation process; and finally, the final speed limit value is obtained based on the influence weight of the vehicle operation speed limit and the benchmark speed limit value. Therefore, by integrating multiple external data sources, the influence weight of the vehicle operation speed limit is dynamically superimposed with the road benchmark speed limit, realizing adaptive speed limit control for different areas and different scenarios, improving traffic safety and traffic efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of an embodiment of a method for fine-grained speed limit management of a road network according to the present invention; Figure 2 This is a flow chart of another embodiment of a method for fine-grained speed limit management of a road network according to the present invention; Figure 3 It is a structural diagram of a road network refined speed limit management system of the present invention. DETAILED DESCRIPTION

[0023] Reference will now be made in detail to the present embodiments of the application, examples of which are illustrated in the accompanying drawings. While the application will be described in conjunction with the specific embodiments, it will be understood that the application is not intended to be limited to the described embodiments. On the contrary, the application is intended to cover alternatives, modifications, and equivalents, which can be included within the spirit and scope of the application as defined by the appended claims. It should be noted that the steps of the methods described herein can be carried out in any order, and are not limited to the specific order of the steps as described.

[0024] For a better understanding of the present application, reference will be made to the following detailed description of the application taken in conjunction with the accompanying drawings and specific embodiments.

[0025] Note: the examples to be introduced next are only a specific example, and are not as a limitation on the embodiments of the present application must be as follows the specific steps, values, conditions, data, order, etc. The skilled in the art can be used by reading the present application to construct the concept of the present application is not mentioned in the present specification more embodiments.

[0026] Reference Figure 1 and Figure 2 As shown in the figure, the embodiment of the present application provides a road network fine speed limit management method, applied to a segmented speed limit module engine, comprising the following steps: S100, real-time acquisition of vehicle running information, and judging whether the vehicle speed in the vehicle running information triggers the minimum speed threshold.

[0027] The judgment of whether the vehicle speed in the vehicle running information triggers the minimum speed threshold comprises: Comparing whether the vehicle speed in the vehicle running information is greater than or equal to the minimum speed threshold; If greater than or equal to the minimum speed threshold, it is judged that the minimum speed threshold is triggered, and the mode matching of the road level speed limit or the road actual speed limit is performed.

[0028] Specifically, in the embodiment, in the case of low conventional vehicle speed, the vehicle overspeed risk is relatively small, and if overspeed judgment is performed, a large amount of correct but redundant alarm data will be generated. Therefore, for this case, the threshold of overspeed triggering is usually set to check whether the vehicle exceeds 40-50 km / h in the case of overspeed.

[0029] In the acquired vehicle running information, the data transmitted by the vehicle can be pre-processed to filter out invalid data and improve processing efficiency. First, check whether the overspeed function switch is started, and then locate whether the data is valid. The data that is empty or illegal is discarded. Then, data retransmission check is performed. In the platform synchronization mode, considering the real-time performance, data that is synchronized and retransmitted for more than 20 minutes is not processed, so as to avoid delayed alarms.

[0030] S200, if triggered, performs pattern matching of road-level speed limit or actual road speed limit according to the vehicle operation information, and introduces the speed limit corresponding to the vehicle type and the speed limit of the scene area line in the process of road-level speed limit and actual road speed limit to dynamically generate a benchmark speed limit value.

[0031] S210, performing road-level speed limit and road actual speed limit according to the vehicle operation information, includes: Obtaining a vehicle speed limit mode issued by a target user, wherein the vehicle speed limit mode includes a road-level speed limit mode and an actual road speed limit mode; If the road-level speed limit mode is selected, the matching road level and the road-level speed limit corresponding to the road level are obtained based on the electronic map and the vehicle positioning information in the vehicle operation information; if the vehicle speed in the vehicle operation information is greater than or equal to the road-level speed limit, an overspeed alarm message is issued; Specifically, in the embodiment of the present invention, according to the Road Traffic Safety Law and related laws and regulations, the road level and the corresponding speed limit value in China are used as the basis for speeding judgment, as shown in the following table (1).

[0032]

[0033] Table (1) If it is the actual speed limit mode of the road, the actual speed limit value of the road is matched based on the vehicle positioning information in the vehicle operation information based on the electronic map; if the vehicle speed in the vehicle operation information is greater than or equal to the actual speed limit value of the road, an overspeed alarm message is issued.

[0034] S220, dynamically generating an initial speed limit by introducing the vehicle type speed limit and the scene area line speed limit into the process of road level speed limit and actual road speed limit, including: For the vehicle type in the vehicle operation information, it is necessary to match the actual speed limit value of the vehicle type under the vehicle speed limit mode according to the vehicle type and based on the selected vehicle speed limit mode, and dynamically generate a reference speed limit value; It is determined whether the vehicle positioning information is located in a target scene area. If so, a target speed limit value in the target scene area is obtained as a dynamically generated reference speed limit value.

[0035] Specifically, in the embodiment of the present invention, small vehicles include sedans and passenger cars; large vehicles include trucks, buses, and hazardous materials vehicles. According to relevant national regulations, the corresponding speed requirements for different vehicle types are shown in the following table (2):

[0036] Table (2) Determine whether the vehicle positioning information is located in a target scene area, and the target scene area can be set to a scene speed limit, a regional speed limit, and a line speed limit.

[0037] The scene speed limit also includes speeding management on ramps and curves. Specific speed limits can be set for ramps and curves. When a vehicle enters the scene and travels within the scene, the speed limit value is used as the highest priority judgment basis for logical calculation. The target speed limit value in the scene speed limit is used as the dynamically generated benchmark speed limit value.

[0038] Regional speed limits are defined in a specific area on the road network map. A specific speed limit value can be set within the area. When a vehicle enters the designated area and drives within the area, the speed limit value is used as the highest priority judgment basis for logical calculation. The target speed limit value in the regional speed limit is used as the dynamically generated benchmark speed limit value.

[0039] In the line speed limit, that is, for a specific operating line, a specific speed limit value can be set on the line. When a vehicle is traveling on this line, the speed limit value is used as the highest priority judgment basis for logical calculation, and the target speed limit value in the line speed limit is obtained as the dynamically generated reference speed limit value.

[0040] S300, obtaining an influence weight of a vehicle speed limit based on multiple external factors during vehicle operation, includes the following steps: Obtain weather factors, disaster factors and real-time road change factors during vehicle operation; Calculate the influence weights of the weather factors on the vehicle speed limit, the influence weights of the disaster factors on the vehicle speed limit, and the influence weights of the real-time road change factors on the vehicle speed limit respectively; The final exogenous influence weight is obtained based on the three influence weights.

[0041] Specifically, in this embodiment, the method for calculating the weight of the influence of the weather factors on the vehicle speed limit is shown in the following formula:

[0042] Where, ω w is the weight of the weather factor on the vehicle speed limit; P is the precipitation; V is the visibility; μ is the road friction coefficient; α is the precipitation weight; β is the visibility weight; γ is the road friction coefficient weight; The method for calculating the impact weight of the disaster factors on the vehicle speed limit is shown in the following formula:

[0043] Where, ω d is the impact weight of disaster factors on vehicle speed limit; is the AHP weight of the k-th disaster index; η k is the influence range correction coefficient of the kth disaster indicator, (η k =1−e −0.01S ), S is the length of the construction area; L k is the quantitative weight of the k-th disaster indicator; The Analytic Hierarchy Process (AHP) is a systematic and hierarchical multi-criteria decision-making method that builds a hierarchical structure, constructs a judgment matrix, calculates weights and performs consistency tests.

[0044] The method for calculating the influence weight of the real-time road change factors on the vehicle speed limit is shown in the following formula:

[0045] Where, ω r is the impact weight of real-time road changing factors on vehicle speed limit; q is the traffic flow; r is the impact range of the traffic accident (m).

[0046] In step S400, a method for obtaining a final speed limit value according to the influence weight of the vehicle speed limit and the reference speed limit value is as shown in the following formula:

[0047] in,

[0048] Where V base is the baseline speed limit; V is the final speed limit; φ is the weight amplification coefficient; k is the global risk interaction coefficient, which ranges from 0 to 1 and is used to control the intensity of the risk interaction effect.

[0049] a is the dominant weight of weather factors, which indicates the dominant influence of weather factors on the final speed limit in the multi-factor risk interaction. w After power amplification (ω w φ ,φ>1) and then normalized.

[0050] By amplifying the significant impact of weather factors (such as heavy rain and low visibility) on speed limits, it reflects the "amplification effect" of weather factors on risks when multiple factors coexist. For example, if the weather factor influence weight ω w At most, a will be significantly higher than b and c, and the final speed limit will be more dominated by weather factors.

[0051] b is the dominant weight of disaster factors: it represents the dominant influence of disaster factors (such as traffic accidents and road construction) on the final speed limit in the multi-factor risk interaction, which is expressed by the original impact weight of the disaster factors ω dAfter power amplification (ω d φ ) and then normalized.

[0052] By highlighting the "urgency" of disaster factors on speed limits, especially when the disaster level is high, b will be significantly increased, and the speed limit will eventually be stricter to avoid the risk of secondary accidents.

[0053] c is the dominant weight of the real-time road change factors: it represents the dominant influence of the real-time road change factors (such as traffic congestion and abnormal events) on the final speed limit in the multi-factor risk interaction, and is calculated by the original influence weight ω of the real-time road change factors. r After power amplification (ω r φ ) and then normalized.

[0054] By reflecting the "real-time" impact of dynamic road conditions on speed limits, for example, during morning rush hour congestion, c will increase, and the final speed limit will be closer to the current traffic efficiency requirements.

[0055] When all three factors simultaneously present high risk (e.g., heavy rain, accidents, and congestion), the coefficient will be significantly greater than 0, leading to a further reduction in the final speed limit, thus reflecting the synergistic harm effect of "multiple risks combined." This design breaks through the limitations of traditional speed limit strategies, which rely on a single factor or simple weighted superposition, and makes the final speed limit more aligned with the actual safety needs of complex and dynamic scenarios.

[0056] In step S500, the final speed limit value is compared with the current speed of the vehicle to determine whether the vehicle is speeding, and finally, whether to issue a speeding alarm message is determined based on the comparison result.

[0057] It should be noted that during the vehicle speeding judgment process, data anomalies may occur, as follows: 1. Incorrect speed limit acquisition: When the road speed limit interface returns an invalid value for some reason (timeout, interface error, etc.), the rule uses the last valid speed limit value, and the default value (60km / h) is used as the speed limit judgment value.

[0058] 2. Abnormal vehicle speed: This is mainly manifested by sudden changes in vehicle speed. Although the probability is small, a maximum threshold must be set to prevent single point dirty data from affecting global statistics. For example, the maximum threshold is 150 km / h.

[0059] 3. Sudden speed limit drop: In actual operating environments, positioning deviations can cause errors in matching roads, resulting in speed limits on non-driving roads and misjudgment. The optimization algorithm ensures the last valid speed limit.

[0060] 4. Data synchronization failure or delay: When the data source comes from a third-party monitoring platform, network latency or unstable synchronization mechanisms can cause data delays, resulting in reduced real-time alarms. Set the policy: If the delay is ≤ 20 minutes, handle the data normally; if the delay is > 20 minutes, discard the data.

[0061] See also Figure 3 As shown, an embodiment of the present invention provides a road network refined speed limit management system, including: A minimum speed trigger module is used to obtain vehicle operation information in real time and determine whether the vehicle speed in the vehicle operation information triggers the minimum speed threshold; A reference speed limit module is in communication with the minimum speed trigger module. If triggered, it matches the road-level speed limit or the actual road speed limit according to the vehicle operation information, and introduces the speed limit corresponding to the vehicle type and the speed limit of the scene area line in the process of road-level speed limit and actual road speed limit to dynamically generate a reference speed limit value; The external influence module is used to obtain the influence weight of the vehicle speed limit based on multiple external factors during the vehicle operation process; a final speed limit module, which is in communication with the reference speed limit module and the external influence module, and is configured to obtain a final speed limit value based on the influence weight of the vehicle speed limit and the reference speed limit value; and The comparison module is in communication with the final speed limit module and is used to compare the final speed limit value with the current speed of the vehicle to determine whether the vehicle is speeding.

[0062] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects: The system determines in real time whether the vehicle speed in the vehicle operation information triggers the minimum speed threshold. If so, it applies a road-level speed limit or the actual road speed limit based on the vehicle operation information. Simultaneously, the vehicle type speed limit and the scene area line speed limit are introduced into the road-level speed limit and the actual road speed limit process to dynamically generate a benchmark speed limit. The influence weight of the vehicle operation speed limit is derived based on multiple external factors during the vehicle operation process. Finally, the final speed limit is derived based on the influence weight of the vehicle operation speed limit and the benchmark speed limit. Therefore, by integrating multiple external data sources, the influence weight of the vehicle operation speed limit is dynamically superimposed with the road benchmark speed limit, achieving adaptive speed limit control for different areas and scenarios, improving traffic safety and traffic efficiency. This explores a long-term mechanism for road transport safety supervision, making safety supervision more precise, effective, intelligent, refined, and standardized.

[0063] Specifically, this embodiment corresponds one-to-one to the above method embodiment, and the functions of each module have been described in detail in the corresponding method embodiment, so they will not be repeated here.

[0064] Based on the same inventive concept, an embodiment of the present application further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, all or part of the method steps of the above method are implemented.

[0065] The present invention may implement all or part of the above-described method processes by instructing related hardware through a computer program. The computer program may be stored in a computer-readable storage medium. When executed by a processor, the computer program may implement the steps of each of the above-described method embodiments. The computer program includes computer program code, which may be in source code form, object code form, an executable file, or some intermediate form. Computer-readable media may include any entity or device capable of carrying computer program code, recording media, USB flash drives, removable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signals, telecommunications signals, and software distribution media. It should be noted that the content of a computer-readable medium may be appropriately expanded or reduced based on the requirements of legislation and patent practice within a jurisdiction. For example, in some jurisdictions, based on legislation and patent practice, computer-readable media do not include electric carrier signals or telecommunications signals.

[0066] Based on the same inventive concept, an embodiment of the present application also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program running on the processor, and when the processor executes the computer program, all or part of the method steps in the above method are implemented.

[0067] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor. The processor is the control center of a computer device, connecting all parts of the entire computer device using various interfaces and circuits.

[0068] The memory can be used to store computer programs and / or modules. The processor implements the various functions of the computer device by running or executing the computer programs and / or modules stored in the memory and accessing the data stored in the memory. The memory may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (e.g., a sound playback function, an image playback function, etc.); the data storage area may store data generated based on the use of the mobile phone (e.g., audio data, video data, etc.). Furthermore, the memory may include high-speed random access memory and non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a SmartMedia Card (SMC), a Secure Digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0069] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, servers, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage and optical storage) containing computer-usable program code.

[0070] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), servers, and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0071] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0072] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0073] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A road network refined speed limit management method, characterized in that: include: Acquire vehicle operation information in real time, and determine whether the vehicle speed in the vehicle operation information triggers a minimum speed threshold; If triggered, the system will perform pattern matching of the road-level speed limit or the actual road speed limit based on the vehicle operation information, and introduce the speed limit corresponding to the vehicle type and the speed limit of the scene area line in the process of road-level speed limit and actual road speed limit to dynamically generate the benchmark speed limit value; The influence weight of vehicle speed limit is obtained based on the multi-source external factors during vehicle operation; Obtaining a final speed limit value according to the influence weight of the vehicle operating speed limit and the reference speed limit value; Compare the final speed limit value with the current speed of the vehicle to determine whether the vehicle is speeding.

2. The road network refined speed limit management method according to claim 1, characterized in that: The determining whether the vehicle speed in the vehicle operation information triggers a minimum speed threshold includes: Comparing the vehicle speed in the vehicle operation information to see whether it is greater than or equal to a minimum speed threshold; If it is greater than or equal to the minimum speed threshold, the minimum speed threshold is determined to be triggered, and a pattern match of the road level speed limit or the actual road speed limit is performed.

3. The road network refined speed limit management method according to claim 1, characterized in that: The pattern matching of the road-level speed limit or the road actual speed limit according to the vehicle operation information includes: Obtaining a vehicle speed limit mode issued by a target user, wherein the vehicle speed limit mode includes a road-level speed limit mode and an actual road speed limit mode; If the road-level speed limit mode is selected, the matching road level and the road-level speed limit corresponding to the road level are obtained based on the electronic map and the vehicle positioning information in the vehicle operation information; if the vehicle speed in the vehicle operation information is greater than or equal to the road-level speed limit, an overspeed alarm message is issued; If it is the actual speed limit mode of the road, the actual speed limit value of the road is matched based on the vehicle positioning information in the vehicle operation information based on the electronic map; if the vehicle speed in the vehicle operation information is greater than or equal to the actual speed limit value of the road, an overspeed alarm message is issued.

4. The road network refined speed limit management method according to claim 3, characterized in that: The process of introducing vehicle type corresponding speed limit and scene area line speed limit in the process of road level speed limit and actual road speed limit, and dynamically generating initial speed limit value includes: For the vehicle type in the vehicle operation information, based on the vehicle type and the selected vehicle speed limit mode, matching the actual speed limit value of the vehicle type under the vehicle speed limit mode and dynamically generating a reference speed limit value; It is determined whether the vehicle positioning information is located in a target scene area. If so, a target speed limit value in the target scene area is obtained as a dynamically generated reference speed limit value.

5. The road network refined speed limit management method according to claim 1, characterized in that: The influence weight of the vehicle speed limit obtained based on the multi-source external factors during the vehicle operation process includes: Obtain weather factors, disaster factors and real-time road change factors during vehicle operation; The influence weights of the weather factors on the vehicle speed limit, the influence weights of the disaster factors on the vehicle speed limit, and the influence weights of the real-time road change factors on the vehicle speed limit are calculated respectively.

6. The road network refined speed limit management method according to claim 5, characterized in that: The method for calculating the weight of the influence of the weather factors on the vehicle speed limit is shown in the following formula: Where, ω w is the weight of the weather factor on the vehicle speed limit; P is the precipitation; V is the visibility; μ is the road friction coefficient; α is the precipitation weight; β is the visibility weight; γ is the road friction coefficient weight; The method for calculating the impact weight of the disaster factors on the vehicle speed limit is shown in the following formula: Where, ω d is the impact weight of disaster factors on vehicle speed limit; is the AHP weight of the k-th disaster index; η k L is the correction coefficient of the influence range of the kth disaster indicator; k is the quantitative weight of the k-th disaster indicator; The method for calculating the influence weight of the real-time road change factors on the vehicle speed limit is shown in the following formula: Where, ω r is the weight of the impact of real-time road change factors on vehicle speed limit; q is the traffic flow; r is the impact range of the traffic accident.

7. The road network refined speed limit management method according to claim 6, characterized in that: The method for obtaining the final speed limit value based on the influence weight of the vehicle speed limit and the reference speed limit value is shown in the following formula: in, Where V base is the baseline speed limit value; V is the final speed limit value; a is the dominant weight of weather factors; b is the dominant weight of disaster factors; c is the dominant weight of real-time road change factors; φ is the weight amplification coefficient; k is the global risk interaction coefficient.

8. A road network refined speed limit management system, characterized by: include: A minimum speed trigger module is used to obtain vehicle operation information in real time and determine whether the vehicle speed in the vehicle operation information triggers the minimum speed threshold; A reference speed limit module is in communication with the minimum speed trigger module. If triggered, it performs a pattern match of the road-level speed limit or the actual road speed limit based on the vehicle operation information, and introduces the vehicle type speed limit and the scene area line speed limit in the process of the road-level speed limit and the actual road speed limit to dynamically generate a reference speed limit value. an external source influence module, configured to obtain an influence weight of the vehicle speed limit based on multiple external factors during vehicle operation; and a final speed limit module, communicatively connected to the reference speed limit module and the external source influence module, configured to obtain a final speed limit value based on the influence weight of the vehicle speed limit and the reference speed limit value. as well as, The comparison module is in communication with the final speed limit module and is used to compare the final speed limit value with the current speed of the vehicle to determine whether the vehicle is speeding.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for fine-grained speed limit management of a road network as claimed in any one of claims 1 to 7 is implemented.

10. An electronic device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, wherein: When the processor runs the computer program, the method for fine-grained speed limit management of a road network as described in any one of claims 1 to 7 is implemented.

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