Construction method of road intermodulation acquisition network, electronic equipment, medium and product
By adding inter-regulating stations on some road sections and determining the type of inter-regulating stations, and updating inter-regulating collection networks, the problem of limited data collection capabilities after the changes in the road network structure is solved, and more accurate and reliable inter-regulating data collection and traffic scheduling requirements are achieved.
Patent Information
- Application Number
- CN202411602233.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-11
- Publication Date
- 2025-03-11
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
After the existing inter-regulation and detection network changes in the road network structure, it is difficult to meet the actual needs of inter-regulation data collection and traffic scheduling, and the data collection capabilities are limited.
By evaluating the data acquisition effect of the inter-regulation and sampling network, using the data model to select some sections to add inter-regulation stations, and determining the inter-regulation station type according to the section conditions, thereby updating the inter-regulation and sampling network to meet the inter-regulation data acquisition and traffic scheduling needs.
It overcomes the problem of limited data collection capabilities caused by changes in the road network structure, improves the accuracy and reliability of inter-scheduling data collection, and meets the needs of traffic scheduling.
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Figure CN119600798A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of intelligent transportation technology, and in particular to a method for constructing a highway traffic control and acquisition network, electronic equipment, medium and product. Background Art
[0002] Highway traffic survey and collection network (abbreviated as traffic survey and collection network) refers to a system that collects and transmits highway traffic status data in real time through various sensors, monitoring equipment and communication technologies. These data usually include information such as vehicle flow, speed, lane occupancy, traffic accidents, road construction, etc. The main purpose of the traffic survey and collection network is to provide accurate and timely traffic information to traffic management departments, thereby optimizing traffic scheduling, reducing congestion and improving road safety. Summary of the invention
[0003] The embodiments of the present application provide a method for constructing a highway traffic control and acquisition network, an electronic device, a computer-readable storage medium, and a computer program product to alleviate or solve one or more technical problems existing in the prior art.
[0004] In a first aspect, an embodiment of the present application provides a method for constructing a highway intermodulation acquisition network, comprising: determining at least one layout effect parameter of an intermodulation acquisition network in a target area, the intermodulation acquisition network in the target area comprising at least one original intermodulation station;
[0005] When any deployment effect parameter does not meet the corresponding index, an intermodulation station is added in at least one non-observation section of the target area to update the intermodulation acquisition network of the target area, wherein the non-observation section is a section in the intermodulation acquisition network that cannot be observed by the original intermodulation station.
[0006] In a second aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory, and the processor implements any method of the embodiment of the present application when executing the computer program.
[0007] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the method of any one of the embodiments of the present application is implemented.
[0008] In a fourth aspect, an embodiment of the present application provides a computer program product, including a computer program, which implements any method of the embodiments of the present application when executed by a processor.
[0009] Based on the method of the embodiment of the present application, the data collection effect of the existing intermodulation collection network can be evaluated. Through the data model, the layout cost of the intermodulation station and the coverage requirements of important road sections can be taken into account to select some sections to add intermodulation stations, and the type of intermodulation station can be determined according to the road section conditions. In this way, the limited data collection capacity of the original intermodulation collection network caused by factors such as changes in the road network structure can be overcome, and the needs of intermodulation data collection and traffic dispatching can be met.
[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS
[0011] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present application.
[0012] Figure 1 It is a flowchart of a method for constructing a highway traffic acquisition network according to an embodiment of the present application;
[0013] Figure 2 is a schematic diagram of the distribution of the modulation stations according to an embodiment of the present application;
[0014] Figure 3 is a schematic diagram of constructing an intermodulation acquisition network according to an embodiment of the present application;
[0015] Figure 4 It is a block diagram of an electronic device used to implement the embodiment of the present application. DETAILED DESCRIPTION
[0016] In the following, only some exemplary embodiments are briefly described. As those skilled in the art will appreciate, the described embodiments may be modified in various ways without departing from the concept or scope of the present application. Therefore, the drawings and descriptions are considered to be exemplary in nature and not restrictive.
[0017] To facilitate understanding of the technical solutions of the embodiments of the present application, the following describes the related technologies of the embodiments of the present application. The following related technologies can be combined with the technical solutions of the embodiments of the present application as optional solutions, and they all belong to the protection scope of the embodiments of the present application.
[0018] Terminology explanation:
[0019] 1. Automated traffic dispatch station: referred to as automated traffic dispatch station, refers to a facility that uses automation technology and intelligent systems to monitor, manage and dispatch highway traffic. Automated traffic dispatch stations integrate various advanced sensors, data processing systems and communication technologies to achieve real-time monitoring and management of traffic flow, vehicle speed, road conditions, etc., thereby optimizing traffic dispatch and improving road traffic efficiency and safety. As a traditional fixed traffic dispatch station, the types of equipment that can be used in automated traffic dispatch stations include coils, geomagnetic, microwave, ultrasonic, infrared, video, laser, etc. The collected data include vehicle model identification, flow, location speed, headway, following percentage, headway, time occupancy, etc., and can be connected to the Internet to transmit traffic data to the traffic dispatch data center in real time. The content and format of the transmitted data should meet the requirements of industry standards. When building an automated traffic dispatch station, functions such as video monitoring, meteorology, and axle load weighing can be expanded according to needs to form a multifunctional highway traffic dispatch station.
[0020] 2. Off-site enforcement station: Off-site enforcement station is a system that uses modern technology to monitor and punish traffic violations, usually without the need for law enforcement officers to be on site. It automatically detects, records and handles traffic violations such as speeding, running red lights, illegal parking, etc. through various sensors, cameras and data processing systems installed on the road, and saves evidence of violations such as photos, videos, speed records, etc., analyzes violation data, generates statistical reports, and helps traffic management departments develop more effective traffic management strategies.
[0021] 3. Multi-source data intermodulation station: The multi-source fusion intermodulation station utilizes existing field detection equipment such as off-site law enforcement stations, bridge axle load detection, and video structured systems to obtain intermodulation data through processing and conversion, and can transmit it to the intermodulation data center in real time through the data interface.
[0022] 4. Electronic Toll Collection (ETC) on highways: ETC on highways can collect vehicle information (license plate number, vehicle type, color, brand), vehicle traffic data (travel time, travel location, driving direction), vehicle speed and driving status, etc., provide accurate toll collection services and comprehensive traffic management support, and improve the level of intelligent traffic management.
[0023] At present, the traffic control and collection network is mainly composed of automated traffic control stations and highway ETC, which are mainly deployed on national highways and key provincial roads, connecting major ports, city entrances and exits, tourist attractions, logistics parks, key mineral resource areas, provincial and municipal boundaries and national borders, etc., reflecting the characteristics of national and provincial road network traffic distribution and composition, highway service level, and transportation economic operation.
[0024] However, with the rapid development of the economy, the construction of a large number of new highway projects will lead to changes in the road network structure. Taking into account factors such as policy influence, the traffic flow of sections with large traffic flow may decrease, while the traffic flow of sections with small traffic flow may increase, which will lead to a large change in the proportion of traffic flow in each section in the region. The original traffic control stations arranged according to factors such as section traffic flow in the original traffic control collection network may be difficult to meet the actual needs of traffic control data collection and traffic dispatch. It is necessary to evaluate the layout effect of traffic control stations in the traffic control collection network, and to update the traffic control collection network by building new traffic control stations, so as to meet the needs of traffic control data collection and traffic dispatch.
[0025] Figure 1 It is a flowchart of a method for constructing a highway traffic acquisition network according to an embodiment of the present application, including:
[0026] Step S110, determining at least one layout effect parameter of an intermodulation acquisition network in a target area, wherein the intermodulation acquisition network in the target area includes at least one original intermodulation station.
[0027] Here, the original intermodulation station may include the existing automated intermodulation stations and highway ETC in the region, and the layout effect parameters are used to test the layout effect of the intermodulation stations in the intermodulation acquisition network.
[0028] Considering that the layout of traffic control stations should be based on the perspective of comprehensively reflecting the traffic volume and traffic status of the road section, full consideration should be given to factors such as road network layout planning to ensure that their distribution on the road section is uniform, representative and reasonable.
[0029] Exemplarily, the layout effect parameters may include observed mileage coverage and mileage layout density. Determining at least one layout effect parameter of the intermodulation acquisition network in the target area in step S110 includes:
[0030] Determine the observation mileage coverage rate based on the road mileage of each observation section in the cross-modulation acquisition network and the total road mileage of the target area; and,
[0031] The mileage layout density is determined based on the number of original intermodulation stations in the intermodulation collection network and the total road mileage in the target area.
[0032] Here, the observation section refers to the section whose traffic data can be obtained. The acquisition method can be direct acquisition, such as obtaining through an exchange station arranged on the section, or indirect acquisition through calculation. For example, there is no exchange station arranged on the section, but other sections associated with the section are arranged with exchange stations, and the traffic data of the section can be calculated through the traffic data on other sections. In this case, although there is no exchange station arranged on the section, the section still belongs to the observation section.
[0033] Among them, the observation mileage coverage rate β can be calculated by formula (1):
[0034]
[0035] Where, L′ represents the observed mileage, that is, the sum of the road mileages observed by each original intermodulation station in the intermodulation acquisition network, unit: km; L represents the total road mileage in the target area, unit: km.
[0036] The mileage layout density m can be calculated by formula (2):
[0037]
[0038] Where, N represents the total number of original traffic stations in the target area, unit: number; L represents the total mileage of roads in the target area, unit: km.
[0039] By calculating the observation mileage coverage of the intermodulation acquisition network, we can obtain the observation coverage of the original intermodulation stations in the intermodulation acquisition network for the existing road sections in the target area. By calculating the mileage layout density of the intermodulation acquisition network, we can evaluate whether the distribution of each original intermodulation station is reasonable in the current road network structure, thereby determining the current intermodulation acquisition network’s effect on traffic data detection in the target area.
[0040] Exemplarily, the deployment effect parameter may also include a proportion of high-traffic intermodulation stations. The step S110 of determining at least one deployment effect parameter of the intermodulation acquisition network in the target area may also include:
[0041] According to the daily average traffic volume of the traffic collection network, the average traffic volume of each original traffic station is determined;
[0042] According to the actual daily average traffic volume and mean traffic volume of each original traffic station, the number of high-flow traffic stations in the original traffic station is determined, wherein the high-flow traffic station is the original traffic station whose actual daily average traffic volume is greater than the mean traffic volume;
[0043] Determine the proportion of high-flow intermodulation stations based on the number of high-flow intermodulation stations and the number of original intermodulation stations.
[0044] Here, considering that high-flow sections are the sections that the intermodulation collection network should focus on collecting and evaluating in the road network structure, and the size of traffic flow is also an important consideration when laying out intermodulation stations, ideally, the actual traffic flow of the sections where each intermodulation station in the intermodulation collection network is located should be greater than the average traffic flow of each section in the target area. Intermodulation stations that meet this condition can be regarded as high-flow intermodulation stations. The proportion of high-flow intermodulation stations in the intermodulation collection network can be calculated to evaluate the traffic data detection effect of the current intermodulation collection network on the target area.
[0045] Among them, the proportion of large flow rate modulation stations η can be calculated by formula (3):
[0046]
[0047] Where N′ is the number of traffic stations in the target area where the actual daily average traffic volume is greater than the mean traffic volume, in units of pieces; N represents the total number of original traffic stations in the target area, in units of pieces.
[0048] Step S120, when any deployment effect parameter does not meet the corresponding index, an intermodulation station is added in at least one non-observation section of the target area to update the intermodulation acquisition network of the target area, wherein the non-observation section is a section in the intermodulation acquisition network that cannot be observed by the original intermodulation station.
[0049] Here, indicators are set for the above-mentioned deployment effect parameters respectively, so as to judge whether the data collection effect of the intermodulation collection network meets the requirements based on the comparison between the calculated deployment effect parameters and the corresponding indicators.
[0050] The embodiment of the present application is configured to determine that the data acquisition effect of the intermodulation acquisition network does not meet the demand when any deployment effect parameter does not meet the corresponding indicator, and the intermodulation acquisition network needs to be updated. In practical applications, the judgment criteria may also be adjusted. For example, at least two or three deployment effect parameters do not meet the corresponding indicators or these deployment effect parameters are graded. When a high-priority deployment effect parameter does not meet the corresponding indicator or multiple low-priority deployment effect parameters do not meet the corresponding indicator, the intermodulation acquisition network needs to be updated.
[0051] It is understandable that the three deployment effect parameters mentioned in this application are not the only way to evaluate the intermodulation acquisition network. Other parameters that can reflect the data collection effect of the intermodulation station in the intermodulation acquisition network can also be added for evaluation. This application is not limited to this.
[0052] Exemplarily, in step S120, adding an intersection station in at least one non-observation road section in the target area includes:
[0053] At least one target road section where an additional traffic control station is required is determined among the non-observation road sections in the target area; and an additional traffic control station is added to the at least one target road section.
[0054] Here, corresponding to the aforementioned observed road section, the non-observed road section refers to a road section in the target area whose traffic data cannot be obtained.
[0055] When updating the intermodulation stations in the intermodulation collection network, it is necessary to cover as many road sections and traffic nodes in the road network as possible to ensure the accuracy and reliability of the collected traffic data, and to ensure that the road sections where the intermodulation stations are located are independent of each other, so as to prevent repeated collection of information and excessive redundancy. Repeated collection can be understood as the traffic data of the road sections where the intermodulation stations are located can be obtained through calculation and processing of the traffic data of other road sections where the intermodulation stations are located, which constitutes repeated collection and intermodulation station redundancy.
[0056] Therefore, when updating the traffic acquisition network, it is not necessary to add traffic stations to all non-observation sections, but to select some target sections among these non-observation sections to add traffic stations, so as to cover as many sections and traffic nodes as possible and avoid redundancy.
[0057] The embodiment of the present application proposes an objective function for avoiding redundant deployment of intermodulation stations. The mathematical expression of the function is as shown in formula (4):
[0058]
[0059] Where f1 represents the total number of exchange stations in the region; N represents the number of road sections in the region; i represents the i-th road section, and xi represents the exchange station arranged in the i-th road section.
[0060] In order to understand the layout effect that this function wants to achieve, Figure 2 As an example, a schematic diagram of the distribution of intermodulation stations in a sub-area of the target area is shown.
[0061] like Figure 2 As shown in the figure, there are 19 sections and 13 nodes in the road network structure of this sub-area, among which nodes a and b are traffic generating points, nodes c and d are traffic attracting points, and the remaining nodes are intermediate nodes. The flow on the section with the exchange station is v1=775, v2=425, v3=459, v4=341, v5=840, v7=868, v8=3, v9=392, v12=144, v15=214. According to the conservation relationship of section flow, that is, the flow into the node is always equal to the flow out of the node, the flow of the section without the exchange station can be calculated, that is, v6=394, v10=476, v11=786, v13=591, v14=147, v16=409, v17=31, v18=394, v19=591.
[0062] Therefore, by deploying interchange stations on some sections of the road, the traffic flow of all sections of the road network can be obtained, and the calculated traffic flow is unique. There are 19 sections in the road network. If interchange stations are deployed on at least 10 sections, the observability of the traffic flow of the entire road network in this sub-area can be achieved.
[0063] Exemplarily, determining at least one target section where an additional traffic control station is required in each non-observation section in the target area further includes:
[0064] At least one target section is determined in each non-observation section according to importance parameters of each non-observation section, wherein the importance parameters include section grade, number of lanes in the section, section length, section width, and section traffic capacity.
[0065] Here, the present application also proposes an objective function for maximizing the important sections of the laid-out road sections. The mathematical expression of the function is as shown in formula (5):
[0066]
[0067] Where f2 represents the sum of the importance of the layout sections; w i Indicates the importance weight of the road segment.
[0068] Among them, different weights can be assigned to each importance parameter of the road section, and the importance weight value of the road section can be calculated based on each importance parameter combined with the weight. The importance parameter here is the importance parameter of the road section in the sub-region (smaller range). If the cross-provincial cross-regional traffic collection network is evaluated, it can also be further combined with the regional population, regional gross domestic product GDP, regional per capita income, local fiscal revenue, regional road mileage, regional passenger volume, regional freight volume, etc. of different regions.
[0069] Preferably, a mathematical model can be constructed by combining the objective functions of the two dimensions in formula (4) and formula (5) to obtain the optimal solution of the mathematical model, so that the intermodulation stations in the updated intermodulation acquisition network are not redundantly arranged and are arranged in important sections as much as possible.
[0070] According to the method of the embodiment of the present application, when the intermodulation acquisition network needs to be updated, the optimal way to add intermodulation stations can be obtained by combining objective functions of different dimensions, taking into account both the deployment cost and the deployment effect.
[0071] Exemplarily, in step S120, adding an exchange station to at least one target road section includes:
[0072] Based on the traffic data monitored by other traffic monitoring facilities in the target road section, the type of the additional exchange station is determined, and the types of exchange stations include multi-source data exchange stations and automated exchange stations; based on the determined type of exchange station, an additional exchange station is added to the target road section.
[0073] Among them, the type of traffic control station to be added is determined based on the traffic data monitored by other traffic monitoring facilities in the target section, including:
[0074] When the traffic data monitored by other traffic monitoring facilities in the target road section meets the target intermodulation data of the intermodulation collection network, the type of the intermodulation station to be added is determined to be a multi-source data intermodulation station, wherein the target intermodulation data at least includes the road section traffic volume, the road section vehicle speed and the road section vehicle type; otherwise, the type of the intermodulation station to be added is determined to be an automated intermodulation station.
[0075] Here, other traffic monitoring facilities can include off-site enforcement stations, bridge axle load detection, video structured systems, etc. Since the automated traffic control station can make full use of existing data resources in the industry and its construction cost is much lower than that of the automated traffic control station, after determining the target sections where traffic control stations need to be added, it is necessary to evaluate the types of traffic control stations suitable for construction on each target section, taking into account the construction cost while ensuring the accuracy of the monitoring data.
[0076] Specifically, for the traffic data monitored by other traffic monitoring facilities, the following conversion scheme is proposed:
[0077] (1) Regarding road traffic volume and road speed: The vehicle speed collected by multi-source data exchange stations such as non-site enforcement stations, bridge axle load detection, and video structuring can obtain the location speed in real time, which can be directly used as the vehicle speed indicator when forming the traffic volume indicator; the original single-vehicle data of the highway section is directly aggregated through non-site enforcement stations, bridge axle load detection, video structured extraction, etc., and the time granularity can be 5 minutes / hour for statistics.
[0078] (2) Regarding road vehicle types
[0079] When converting the traffic volume indicators by vehicle type, since the off-site enforcement station, bridge axle load detection, and video structured extraction cannot distinguish vehicles according to the inter-modulation vehicle type, conversion processing is required. Among them, the off-site enforcement station and bridge axle load detection can distinguish vehicles according to the number of axles. Table 1 shows the correspondence between the inter-modulation vehicle type and the axle load vehicle type.
[0080]
[0081] Table 1
[0082] It can be seen that there are three ways to determine the split coefficient for the cross-modulation model and axle load type:
[0083] 1) Proportional splitting method: Determine the proportional relationship of each vehicle type based on the historical data of the route or administrative division where the station is located, and then determine the splitting coefficient.
[0084] 2) Manual sampling method: Determine the splitting coefficient of the location of the multi-source data exchange station through manual investigation.
[0085] Through manual sampling survey, representative traffic monitoring facilities on the route were selected for manual observation, and the values and proportions of medium and small trucks at that location were determined based on the manually collected data. At the same time, the data were compared with the data of 11, 12, 21, and 22 vehicle models collected by the traffic monitoring facilities at that location on the same day. Finally, the medium and small truck splitting coefficient at this location was determined as the splitting coefficient of the route.
[0086] 3) Image recognition method: Both the off-site enforcement station and video structured extraction record the image history information of each vehicle passing through the station. The traffic volume of each vehicle type is summarized through image recognition software to determine the number and proportion of each vehicle type as the splitting coefficient.
[0087] Based on this, the multi-source data intercommunication station set up on the target road section can convert the traffic data monitored by other traffic monitoring facilities into at least intercommunication data including the road section traffic volume, road section vehicle speed and road section vehicle type.
[0088] For example, when an automated traffic control station needs to be established on a target road section, the factors that should be considered include at least:
[0089] ① The purchase cost of the intermodulation equipment itself: The purchase cost of different intermodulation equipment is different, ranging from tens of thousands to hundreds of thousands. For example, the purchase cost of laser equipment is about three times that of toroidal coil equipment.
[0090] ② Installation, commissioning and daily maintenance costs of the modulation equipment: mainly including the installation costs of resetting the road surface, laying lines, erecting poles, gantries and other facilities and equipment, as well as the power supply and data network transmission costs, as well as the maintenance and verification costs after the operation;
[0091] ③ Configuration costs of other supporting facilities: In addition to the equipment itself, some modulation stations also require a series of software and hardware support. This cost should also be considered when selecting the type of modulation equipment to be deployed;
[0092] ④ The service life of the intermodulation equipment: The service life of the intermodulation equipment is related not only to the properties of the equipment itself, but also to the road conditions, environmental conditions and the management of overweight vehicles. Therefore, the service life of the same intermodulation equipment on different sections of road is different;
[0093] ⑤ External environment: Since the detection coverage area of different intermodulation equipment is limited, the requirements for intermodulation equipment are different for different road grades and numbers of lanes. At the same time, different environments, such as high altitude, foggy and windy areas, require different intermodulation equipment. When deploying intermodulation equipment, the type and quantity of intermodulation equipment to be deployed should be determined based on the requirements of the external environment.
[0094] Based on this, appropriate intermodulation equipment can be configured for the newly built automated intermodulation station according to the above factors, taking into account both the deployment cost and the intermodulation data collection effect.
[0095] Figure 3 A schematic diagram of constructing an intermodulation acquisition network according to an embodiment of the present application is shown.
[0096] like Figure 3 As shown, first, according to the collection situation of each traffic control station in the existing traffic control collection network, each road section in the target area is divided into observation sections and non-observation sections, and then in the non-observation sections, the optimal solution that takes into account the layout cost and the coverage of important sections is calculated based on the mathematical model to select the target sections to add traffic control stations, and when adding traffic control stations, the types of additional traffic control stations are determined according to the actual situation. Among them, multi-source data traffic control stations are added to the target sections where the traffic data monitored by other traffic monitoring facilities (such as non-site law enforcement stations, bridge axle load detection, video structuring and other multi-source data traffic control stations) can meet the needs of the traffic control collection network, and automated traffic control stations are established for other target sections, thereby realizing full coverage collection of the road network.
[0097] The above describes the specific settings and implementation methods of the embodiments of the present application from different perspectives. Using the method provided in the above embodiments, the data collection effect of the existing intermodulation collection network can be evaluated, and the intermodulation stations can be selected to be added to some sections of the road by taking into account the layout cost of the intermodulation stations and the coverage requirements of important sections through the data model, and the types of intermodulation stations can be determined in a targeted manner according to the road section conditions, thereby overcoming the data collection capacity limitations of the original intermodulation collection network caused by factors such as changes in the road network structure, and meeting the needs of intermodulation data collection and traffic dispatching.
[0098] According to an embodiment of the present application, the present application also provides an electronic device, a computer-readable storage medium and a computer program product.
[0099] Figure 4 is a block diagram of an electronic device used to implement an embodiment of the present application. Figure 4 As shown, the electronic device includes: a memory 401 and a processor 402. The memory 401 stores a computer program that can be run on the processor 402. When the processor 402 executes the computer program, the method in the above embodiment is implemented. The number of the memory 401 and the processor 402 can be one or more.
[0100] The electronic device also includes:
[0101] The communication interface 403 is used to communicate with external devices and perform data exchange transmission.
[0102] If the memory 401, the processor 402 and the communication interface 403 are implemented independently, the memory 401, the processor 402 and the communication interface 403 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.
[0103] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.
[0104] An embodiment of the present application also provides a chip, which includes a processor for calling and executing instructions stored in the memory from the memory, so that a communication device equipped with the chip executes the method provided by the embodiment of the present application.
[0105] An embodiment of the present application also provides a chip, including: an input interface, an output interface, a processor and a memory, wherein the input interface, the output interface, the processor and the memory are connected via an internal connection path, and the processor is used to execute the code in the memory. When the code is executed, the processor is used to execute the method provided in the embodiment of the present application.
[0106] It should be understood that the processor may be a CPU, or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), FPGAs or 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, etc. It is worth noting that the processor may be a processor supporting the Advanced RISC Machines (ARM) architecture.
[0107] Further, optionally, the above-mentioned memory may include a read-only memory and a random access memory. The memory may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memory. Among them, the non-volatile memory may include a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may include a random access memory (RAM), which is used as an external cache. By way of exemplary but not limiting description, many forms of RAM are available. For example, static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory (DR RAM).
[0108] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium.
[0109] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.
[0110] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.
[0111] Any process or method described in the flow chart or otherwise described herein can be understood as a module, fragment or portion of a code representing one or more executable instructions for implementing the steps of a specific logical function or process. And the scope of the preferred embodiment of the present application includes other implementations, in which the functions may not be performed in the order shown or discussed, including in a substantially simultaneous manner or in a reverse order according to the functions involved.
[0112] The logic and / or steps described in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, which can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or used in combination with these instruction execution systems, devices or apparatuses.
[0113] It should be understood that the various parts of the present application can be implemented with hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented with software or firmware stored in a memory and executed by a suitable instruction execution system. All or part of the steps of the above embodiment method can be completed by instructing the relevant hardware through a program, which can be stored in a computer-readable storage medium, and when the program is executed, it includes one of the steps of the method embodiment or a combination thereof.
[0114] In addition, each functional unit in each embodiment of the present application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into one module. The above-mentioned integrated module can be implemented in the form of hardware or in the form of a software functional module. If the above-mentioned integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. The storage medium can be a read-only memory, a disk or an optical disk, etc.
[0115] The above is only an exemplary embodiment of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various changes or substitutions within the technical scope recorded in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.
Claims
1. A method for constructing a highway traffic acquisition network, comprising: Determining at least one layout effect parameter of an intermodulation acquisition network of a target area, wherein the intermodulation acquisition network of the target area includes at least one original intermodulation station; When any of the deployment effect parameters does not meet the corresponding indicators, an intermodulation station is added in at least one non-observation section of the target area to update the intermodulation acquisition network of the target area, wherein the non-observation section is a section in the intermodulation acquisition network that cannot be observed by the original intermodulation station.
2. The method according to claim 1, wherein: Adding an intersection station in at least one non-observation road section in the target area includes: Determining at least one target road section where an additional traffic control station is required among the non-observation road sections in the target area; An exchange station is added to the at least one target road section.
3. The method according to claim 2, wherein: Determining at least one target section where an additional traffic control station is required from among the non-observation sections in the target area includes: At least one target section is determined in each of the non-observed sections according to importance parameters of each of the non-observed sections, wherein the importance parameters include section grade, number of lanes in the section, section length, section width, and section capacity.
4. The method according to claim 3, wherein: Adding an exchange station to the at least one target road section includes: Determine the type of the additional traffic control station according to the traffic data monitored by other traffic monitoring facilities in the target road section, wherein the types of the additional traffic control station include a multi-source data traffic control station and an automated traffic control station; According to the determined type of the exchange station, an exchange station is added to the target section.
5. The method according to claim 4, wherein: Determine the type of additional traffic control station based on the traffic data monitored by other traffic monitoring facilities in the target road section, including: When the traffic data monitored by other traffic monitoring facilities in the target road section meets the target intermodulation data of the intermodulation collection network, determining the type of the intermodulation station to be added as a multi-source data intermodulation station, wherein the target intermodulation data at least includes the road section traffic volume, the road section vehicle speed and the road section vehicle type; Otherwise, the type of the additional intermodulation station is determined to be an automated intermodulation station.
6. The method according to claim 1, wherein: The layout effect parameters include observation mileage coverage and mileage layout density. Determining at least one layout effect parameter of the intermodulation acquisition network in the target area includes: Determining the observation mileage coverage rate according to the road mileage of each observation section in the cross-modulation acquisition network and the total road mileage of the target area; as well as, The mileage layout density is determined according to the number of original intermodulation stations in the intermodulation collection network and the total road mileage of the target area.
7. The method according to claim 6, wherein: The layout effect parameter also includes the proportion of high-flow intermodulation stations, and determining at least one layout effect parameter of the intermodulation acquisition network in the target area also includes: Determining the average traffic volume of each of the original traffic stations according to the daily average traffic volume of the traffic acquisition network; According to the actual daily average traffic volume of each of the original traffic control stations and the mean traffic volume, determining the number of high-flow traffic control stations in the original traffic control stations, wherein the high-flow traffic control station is an original traffic control station whose actual daily average traffic volume is greater than the mean traffic volume; The proportion of the high-flow intermodulation stations is determined according to the number of the high-flow intermodulation stations and the number of the original intermodulation stations.
8. An electronic device comprising a memory, a processor and a computer program stored in the memory, wherein the processor implements the method according to any one of claims 1 to 7 when executing the computer program.
9. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.
10. A computer program product, comprising a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 7.
Citation Information
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