CN117809453A - Highway management method, system, terminal and storage medium based on big data - Google Patents
Highway management method, system, terminal and storage medium based on big data Download PDFInfo
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- CN117809453A CN117809453A CN202311694077.9A CN202311694077A CN117809453A CN 117809453 A CN117809453 A CN 117809453A CN 202311694077 A CN202311694077 A CN 202311694077A CN 117809453 A CN117809453 A CN 117809453A
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- 238000007726 management method Methods 0.000 title claims abstract description 32
- 238000003860 storage Methods 0.000 title claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 87
- 238000005457 optimization Methods 0.000 claims abstract description 25
- 238000005065 mining Methods 0.000 claims abstract description 13
- 238000005516 engineering process Methods 0.000 claims abstract description 10
- 238000007418 data mining Methods 0.000 claims abstract description 8
- 238000000034 method Methods 0.000 claims description 22
- 238000005452 bending Methods 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 6
- 238000013480 data collection Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 description 8
- 238000004891 communication Methods 0.000 description 5
- 230000008878 coupling Effects 0.000 description 3
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- 230000003287 optical effect Effects 0.000 description 3
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- 238000012545 processing Methods 0.000 description 3
- 230000010354 integration Effects 0.000 description 2
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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Abstract
The invention relates to the technical field of big data, in particular to a highway management method, a system, a terminal and a storage medium based on big data, comprising the following steps: continuously collecting monitoring information and accident information of the expressway, wherein the monitoring information comprises traffic flow, speed and road condition; uploading the monitoring information and the accident information to a shared database, and mining the association relation between the monitoring information and the accident information based on the data in the shared database by utilizing a big data mining technology; formulating a speed limit value of the expressway based on the association relation between the monitoring information and the accident information and the monitoring information of the expressway; and counting the average traffic flow of the expressway, and if the average traffic flow exceeds a set threshold value, generating an optimization scheme for the expressway. Through fully collecting and organically integrating various traffic data, the application can be used as a guide to excavate and analyze the data resources, so that an accurate and effective optimization scheme can be customized in time.
Description
Technical Field
The invention belongs to the technical field of big data, and particularly relates to a highway management method, a system, a terminal and a storage medium based on big data.
Background
The characteristics of modern highway traffic management services determine that the modern highway traffic management services not only need the driving of information technology, but also need related big data as resources. The arrival of the digital economic age makes big data an essential production material in various fields, and the big data is applied to the expressway traffic management service, so that not only can the difficult opportunities and challenges provided for the development and application of the technology in the field be provided, but also effective ways and beneficial ideas are provided for the upgrading of the traffic management service.
The conventional expressway has hysteresis in deployment and maintenance, for example, after serious problems exist on the road, a treatment scheme is formulated, and if a large amount of data analysis is not performed in the process of preparing the treatment scheme, the problem of congestion and frequent accidents may not be solved fundamentally.
Disclosure of Invention
In order to solve the above-mentioned shortcomings of the prior art, the present invention provides a highway management method, system, terminal and storage medium based on big data, so as to solve the above-mentioned technical problems.
In a first aspect, the present invention provides a highway management method based on big data, including:
continuously collecting monitoring information and accident information of the expressway, wherein the monitoring information comprises traffic flow, speed and road condition;
uploading the monitoring information and the accident information to a shared database, and mining the association relation between the monitoring information and the accident information based on the data in the shared database by utilizing a big data mining technology;
formulating a speed limit value of the expressway based on the association relation between the monitoring information and the accident information and the monitoring information of the expressway;
and counting the average traffic flow of the expressway, and if the average traffic flow exceeds a set threshold value, generating an optimization scheme for the expressway.
In an alternative embodiment, continuously collecting monitoring information and accident information of the expressway, wherein the monitoring information comprises traffic flow, speed and road condition, and the method comprises the following steps:
monitoring the traffic flow, the speed and the road condition of the expressway through video monitoring, millimeter wave radar and laser radar;
and counting rescue records, and analyzing the rescue records to obtain accident information, wherein the accident information comprises accident types and occurrence time.
In an alternative embodiment, the speed limit value of the expressway is formulated based on the association relation between the monitoring information and the accident information and the monitoring information of the expressway, and the method comprises the following steps:
selecting monitoring information of the expressway in a specified time range to calculate average vehicle flow and average vehicle speed;
the method comprises the steps of calling the latest road conditions of the expressway, wherein the road conditions comprise jolting degree, width, bending and gradient;
matching the average vehicle flow, the average vehicle speed and the latest road condition with the association relation, wherein the association relation comprises a plurality of groups of standard monitoring information with the association degree of 80% with the accident;
and if the average vehicle flow, the average vehicle speed and the latest road condition are matched with any one of the plurality of sets of standard monitoring information, adjusting the speed limit value of the expressway.
In an alternative embodiment, counting average traffic flow of the expressway, and if the average traffic flow exceeds a set threshold, generating an optimization scheme for the expressway includes:
if the speed limit value of the expressway is an unadjustable basic value, judging whether jolting exists in the road condition of the expressway:
if yes, generating an optimization scheme for finishing the pavement;
if not, generating a diversion road for increasing the expressway or widening an optimization scheme of the expressway.
In a second aspect, the present invention provides a highway management system based on big data, comprising:
the data collection module is used for continuously collecting monitoring information and accident information of the expressway, wherein the monitoring information comprises traffic flow, speed and road conditions;
the association mining module is used for uploading the monitoring information and the accident information to a shared database, and mining association relations between the monitoring information and the accident information based on data in the shared database by utilizing a big data mining technology;
the speed limit adjusting module is used for making a speed limit value of the expressway based on the association relation between the monitoring information and the accident information and the monitoring information of the expressway;
and the scheme generation module is used for counting the average traffic flow of the expressway, and generating an optimization scheme for the expressway if the average traffic flow exceeds a set threshold value.
In an alternative embodiment, the data collection module includes:
the first collecting unit is used for monitoring the traffic flow, the speed and the road condition of the expressway through video monitoring, millimeter wave radar and laser radar;
the second collecting unit is used for counting rescue records and analyzing the rescue records to obtain accident information, wherein the accident information comprises accident types and occurrence time.
In an alternative embodiment, the speed limit adjustment module includes:
the data statistics unit is used for selecting monitoring information of the expressway in a specified time range to calculate average vehicle flow and average vehicle speed;
the data calling unit is used for calling the latest road conditions of the expressway, wherein the road conditions comprise jolting degree, width, bending and gradient;
the standard matching unit is used for matching the average traffic flow, the average vehicle speed and the latest road condition with the association relation, wherein the association relation comprises a plurality of groups of standard monitoring information with the association degree of 80% with the accident;
and the speed limit adjusting unit is used for adjusting the speed limit value of the expressway if the average vehicle flow, the average vehicle speed and the latest road condition are matched with any one of the plurality of sets of standard monitoring information.
In an alternative embodiment, the scheme generating module includes:
the road condition judging unit is used for judging whether the road condition of the expressway is bumpy or not if the speed limit value of the expressway is an unadjustable basic value;
the first generation unit is used for generating an optimization scheme for finishing the road surface if the road condition of the expressway is bumpy;
and the second generation unit is used for generating a diversion road for increasing the expressway or widening an optimization scheme of the expressway if the road condition of the expressway is not bumpy.
In a third aspect, a terminal is provided, including:
a processor, a memory, wherein,
the memory is used for storing a computer program,
the processor is configured to call and run the computer program from the memory, so that the terminal performs the method of the terminal as described above.
In a fourth aspect, there is provided a computer storage medium having instructions stored therein which, when run on a computer, cause the computer to perform the method of the above aspects.
The expressway management method, the expressway management system, the expressway management terminal and the expressway management storage medium have the advantages that through full collection and organic integration of various traffic data, the application is used as a guide, the data resources can be mined and analyzed, and further a precise and effective optimization scheme is customized in time, so that the expressway management system is high-efficiency and accurate.
In addition, the invention has reliable design principle, simple structure and very wide application prospect.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the description of the embodiments or the prior art will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a schematic flow chart of a method of one embodiment of the invention.
FIG. 2 is a schematic block diagram of a system of one embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In order to make the technical solution of the present invention better understood by those skilled in the art, the technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
The expressway management method based on big data provided by the embodiment of the invention is executed by the computer equipment, and correspondingly, the expressway management system based on big data is operated in the computer equipment.
FIG. 1 is a schematic flow chart of a method of one embodiment of the invention. The execution subject of fig. 1 may be a highway management system based on big data. The order of the steps in the flow chart may be changed and some may be omitted according to different needs.
As shown in fig. 1, the method includes:
step 110, continuously collecting monitoring information and accident information of the expressway, wherein the monitoring information comprises traffic flow, speed and road condition;
step 120, uploading the monitoring information and the accident information to a shared database, and mining the association relationship between the monitoring information and the accident information based on the data in the shared database by utilizing a big data mining technology;
step 130, formulating a speed limit value of the expressway based on the association relation between the monitoring information and the accident information and the monitoring information of the expressway;
and 140, counting the average traffic flow of the expressway, and if the average traffic flow exceeds a set threshold value, generating an optimization scheme for the expressway.
In order to facilitate understanding of the present invention, the following describes the highway management method based on big data according to the present invention in further detail with reference to the process of managing the highway in the embodiment.
Specifically, the highway management method based on big data comprises the following steps:
s1, continuously collecting monitoring information and accident information of the expressway, wherein the monitoring information comprises traffic flow, speed and road conditions.
Monitoring the traffic flow, the speed and the road condition of the expressway through video monitoring, millimeter wave radar and laser radar; the rescue records are counted, the rescue records are analyzed to obtain accident information, and the accident information comprises accident types and occurrence time, for example, the vehicle overturns at the certain time of the certain month of the certain year and the certain day of the certain year.
S2, uploading the monitoring information and the accident information to a shared database, and mining the association relation between the monitoring information and the accident information based on the data in the shared database by utilizing a big data mining technology.
Mining the association degree between the monitoring information and the accident information by using an Apriori algorithm, wherein the association degree comprises the following steps: generation of Frequent item sets (Frequencnt items) generating item sets of all items > = minutiae
And (3) generating association rules, namely binary division is carried out on each frequent item set (XY) to generate a series of rule (X- > Y) Apriori algorithm ideas with highest confdense (for example, large traffic flow, high speed, poor road condition and frequent accident affirmation).
And S3, formulating a speed limit value of the expressway based on the association relation between the monitoring information and the accident information and the monitoring information of the expressway.
Selecting monitoring information of the expressway in a specified time range to calculate average vehicle flow and average vehicle speed; the method comprises the steps of calling the latest road conditions of the expressway, wherein the road conditions comprise jolting degree, width, bending and gradient; matching the average vehicle flow, the average vehicle speed and the latest road condition with the association relation, wherein the association relation comprises a plurality of groups of standard monitoring information with the association degree of 80% with the accident; and if the average vehicle flow, the average vehicle speed and the latest road condition are matched with any one of the plurality of sets of standard monitoring information, adjusting the speed limit value of the expressway.
Wherein, the association relation can be a plurality of pieces, and each piece has a determined magnitude. In addition, the association relationship may be a numerical range, for example, the vehicle flow > a, the vehicle speed > b, and the road bump degree > c.
If the average traffic flow, the average speed and the road bump degree of the expressway in the next month accord with the scene defined by the association relation, the speed limit value of the expressway is adjusted, and if the speed is too high, the speed limit value is reduced.
S4, calculating the average traffic flow of the expressway, and if the average traffic flow exceeds a set threshold value, generating an optimization scheme for the expressway.
If the speed limit value of the expressway is an unadjustable basic value, judging whether jolting exists in the road condition of the expressway: if yes, generating an optimization scheme for finishing the pavement; if not, generating a diversion road for increasing the expressway or widening an optimization scheme of the expressway.
If the current speed limit of the expressway is 60, the expressway can not be adjusted down any more. If the highway has jolts, the road jolts cause a plurality of accidents, and the pavement needs to be trimmed. If there is no bump on the expressway, the main problem is that the traffic flow is too large, and the diversion road needs to be increased or the road surface needs to be widened.
In some embodiments, the big data based highway management system may include a plurality of functional modules consisting of computer program segments. The computer program of the individual program segments in the big data based highway management system may be stored in a memory of a computer device and executed by at least one processor to perform (see fig. 1 for details) big data based highway management functions.
In this embodiment, the highway management system based on big data may be divided into a plurality of functional modules according to the functions performed by the highway management system, as shown in fig. 2. The functional modules of system 200 may include: a data collection module 210, an association mining module 220, a speed limit adjustment module 230, and a scenario generation module 240. The module referred to in the present invention refers to a series of computer program segments capable of being executed by at least one processor and of performing a fixed function, stored in a memory. In the present embodiment, the functions of the respective modules will be described in detail in the following embodiments.
The data collection module is used for continuously collecting monitoring information and accident information of the expressway, wherein the monitoring information comprises traffic flow, speed and road conditions;
the association mining module is used for uploading the monitoring information and the accident information to a shared database, and mining association relations between the monitoring information and the accident information based on data in the shared database by utilizing a big data mining technology;
the speed limit adjusting module is used for making a speed limit value of the expressway based on the association relation between the monitoring information and the accident information and the monitoring information of the expressway;
and the scheme generation module is used for counting the average traffic flow of the expressway, and generating an optimization scheme for the expressway if the average traffic flow exceeds a set threshold value.
Optionally, as an embodiment of the present invention, the data collecting module includes:
the first collecting unit is used for monitoring the traffic flow, the speed and the road condition of the expressway through video monitoring, millimeter wave radar and laser radar;
the second collecting unit is used for counting rescue records and analyzing the rescue records to obtain accident information, wherein the accident information comprises accident types and occurrence time.
Optionally, as an embodiment of the present invention, the speed limit adjustment module includes:
the data statistics unit is used for selecting monitoring information of the expressway in a specified time range to calculate average vehicle flow and average vehicle speed;
the data calling unit is used for calling the latest road conditions of the expressway, wherein the road conditions comprise jolting degree, width, bending and gradient;
the standard matching unit is used for matching the average traffic flow, the average vehicle speed and the latest road condition with the association relation, wherein the association relation comprises a plurality of groups of standard monitoring information with the association degree of 80% with the accident;
and the speed limit adjusting unit is used for adjusting the speed limit value of the expressway if the average vehicle flow, the average vehicle speed and the latest road condition are matched with any one of the plurality of sets of standard monitoring information.
Optionally, as an embodiment of the present invention, the scheme generating module includes:
the road condition judging unit is used for judging whether the road condition of the expressway is bumpy or not if the speed limit value of the expressway is an unadjustable basic value;
the first generation unit is used for generating an optimization scheme for finishing the road surface if the road condition of the expressway is bumpy;
and the second generation unit is used for generating a diversion road for increasing the expressway or widening an optimization scheme of the expressway if the road condition of the expressway is not bumpy.
Fig. 3 is a schematic structural diagram of a terminal 300 according to an embodiment of the present invention, where the terminal 300 may be used to execute the highway management method based on big data according to the embodiment of the present invention.
The terminal 300 may include: a processor 310, a memory 320 and a communication unit 330. The components may communicate via one or more buses, and it will be appreciated by those skilled in the art that the configuration of the server as shown in the drawings is not limiting of the invention, as it may be a bus-like structure, a star-like structure, or include more or fewer components than shown, or may be a combination of certain components or a different arrangement of components.
The memory 320 may be used to store instructions for execution by the processor 310, and the memory 320 may be implemented by any type of volatile or non-volatile memory terminal or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk. The execution of the instructions in memory 320, when executed by processor 310, enables terminal 300 to perform some or all of the steps in the method embodiments described below.
The processor 310 is a control center of the storage terminal, connects various parts of the entire electronic terminal using various interfaces and lines, and performs various functions of the electronic terminal and/or processes data by running or executing software programs and/or modules stored in the memory 320, and invoking data stored in the memory. The processor may be comprised of an integrated circuit (Integrated Circuit, simply referred to as an IC), for example, a single packaged IC, or may be comprised of a plurality of packaged ICs connected to the same function or different functions. For example, the processor 310 may include only a central processing unit (Central Processing Unit, simply CPU). In the embodiment of the invention, the CPU can be a single operation core or can comprise multiple operation cores.
And a communication unit 330 for establishing a communication channel so that the storage terminal can communicate with other terminals. Receiving user data sent by other terminals or sending the user data to other terminals.
The present invention also provides a computer storage medium in which a program may be stored, which program may include some or all of the steps in the embodiments provided by the present invention when executed. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a random-access memory (random access memory, RAM), or the like.
Therefore, through full collection and organic integration of various traffic data, the invention can excavate and analyze the data resources by taking the application as a guide, and further timely customize an accurate and effective optimization scheme to realize efficient and accurate management of the expressway, and the technical effects achieved by the embodiment can be seen from the description above and are not repeated here.
It will be apparent to those skilled in the art that the techniques of embodiments of the present invention may be implemented in software plus a necessary general purpose hardware platform. Based on such understanding, the technical solution in the embodiments of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium such as a U-disc, a mobile hard disc, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, etc. various media capable of storing program codes, including several instructions for causing a computer terminal (which may be a personal computer, a server, or a second terminal, a network terminal, etc.) to execute all or part of the steps of the method described in the embodiments of the present invention.
The same or similar parts between the various embodiments in this specification are referred to each other. In particular, for the terminal embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference should be made to the description in the method embodiment for relevant points.
In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods may be implemented in other ways. For example, the system embodiments described above are merely illustrative, e.g., the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with respect to each other may be through some interface, indirect coupling or communication connection of systems or modules, electrical, mechanical, or other form.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
Although the present invention has been described in detail by way of preferred embodiments with reference to the accompanying drawings, the present invention is not limited thereto. Various equivalent modifications and substitutions may be made in the embodiments of the present invention by those skilled in the art without departing from the spirit and scope of the present invention, and it is intended that all such modifications and substitutions be within the scope of the present invention/be within the scope of the present invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A highway management method based on big data, comprising:
continuously collecting monitoring information and accident information of the expressway, wherein the monitoring information comprises traffic flow, speed and road condition;
uploading the monitoring information and the accident information to a shared database, and mining the association relation between the monitoring information and the accident information based on the data in the shared database by utilizing a big data mining technology;
formulating a speed limit value of the expressway based on the association relation between the monitoring information and the accident information and the monitoring information of the expressway;
and counting the average traffic flow of the expressway, and if the average traffic flow exceeds a set threshold value, generating an optimization scheme for the expressway.
2. The method of claim 1, wherein continuously collecting highway monitoring information and accident information, the monitoring information including traffic flow, speed, road conditions, comprises:
monitoring the traffic flow, the speed and the road condition of the expressway through video monitoring, millimeter wave radar and laser radar;
and counting rescue records, and analyzing the rescue records to obtain accident information, wherein the accident information comprises accident types and occurrence time.
3. The method according to claim 1, wherein formulating the speed limit value of the expressway based on the association relationship between the monitoring information and the accident information and the monitoring information of the expressway, comprises:
selecting monitoring information of the expressway in a specified time range to calculate average vehicle flow and average vehicle speed;
the method comprises the steps of calling the latest road conditions of the expressway, wherein the road conditions comprise jolting degree, width, bending and gradient;
matching the average vehicle flow, the average vehicle speed and the latest road condition with the association relation, wherein the association relation comprises a plurality of groups of standard monitoring information with the association degree of 80% with the accident;
and if the average vehicle flow, the average vehicle speed and the latest road condition are matched with any one of the plurality of sets of standard monitoring information, adjusting the speed limit value of the expressway.
4. A method according to claim 3, wherein counting the average traffic flow of a highway and if the average traffic flow exceeds a set threshold, generating an optimization scheme for the highway comprises:
if the speed limit value of the expressway is an unadjustable basic value, judging whether jolting exists in the road condition of the expressway:
if yes, generating an optimization scheme for finishing the pavement;
if not, generating a diversion road for increasing the expressway or widening an optimization scheme of the expressway.
5. A highway management system based on big data, comprising:
the data collection module is used for continuously collecting monitoring information and accident information of the expressway, wherein the monitoring information comprises traffic flow, speed and road conditions;
the association mining module is used for uploading the monitoring information and the accident information to a shared database, and mining association relations between the monitoring information and the accident information based on data in the shared database by utilizing a big data mining technology;
the speed limit adjusting module is used for making a speed limit value of the expressway based on the association relation between the monitoring information and the accident information and the monitoring information of the expressway;
and the scheme generation module is used for counting the average traffic flow of the expressway, and generating an optimization scheme for the expressway if the average traffic flow exceeds a set threshold value.
6. The system of claim 5, wherein the data collection module comprises:
the first collecting unit is used for monitoring the traffic flow, the speed and the road condition of the expressway through video monitoring, millimeter wave radar and laser radar;
the second collecting unit is used for counting rescue records and analyzing the rescue records to obtain accident information, wherein the accident information comprises accident types and occurrence time.
7. The system of claim 5, wherein the speed limit adjustment module comprises:
the data statistics unit is used for selecting monitoring information of the expressway in a specified time range to calculate average vehicle flow and average vehicle speed;
the data calling unit is used for calling the latest road conditions of the expressway, wherein the road conditions comprise jolting degree, width, bending and gradient;
the standard matching unit is used for matching the average traffic flow, the average vehicle speed and the latest road condition with the association relation, wherein the association relation comprises a plurality of groups of standard monitoring information with the association degree of 80% with the accident;
and the speed limit adjusting unit is used for adjusting the speed limit value of the expressway if the average vehicle flow, the average vehicle speed and the latest road condition are matched with any one of the plurality of sets of standard monitoring information.
8. The system of claim 7, wherein the scenario generation module comprises:
the road condition judging unit is used for judging whether the road condition of the expressway is bumpy or not if the speed limit value of the expressway is an unadjustable basic value;
the first generation unit is used for generating an optimization scheme for finishing the road surface if the road condition of the expressway is bumpy;
and the second generation unit is used for generating a diversion road for increasing the expressway or widening an optimization scheme of the expressway if the road condition of the expressway is not bumpy.
9. A terminal, comprising:
a memory for storing a highway management program of big data;
a processor for implementing the steps of the big data highway management method according to any one of claims 1-4 when executing said big data highway management program.
10. A computer readable storage medium storing a computer program, characterized in that the readable storage medium has stored thereon a highway management program of big data, which when executed by a processor, implements the steps of the highway management method of big data according to any of claims 1-4.
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| CN202311694077.9A CN117809453A (en) | 2023-12-11 | 2023-12-11 | Highway management method, system, terminal and storage medium based on big data |
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| CN202311694077.9A CN117809453A (en) | 2023-12-11 | 2023-12-11 | Highway management method, system, terminal and storage medium based on big data |
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| CN202311694077.9A Pending CN117809453A (en) | 2023-12-11 | 2023-12-11 | Highway management method, system, terminal and storage medium based on big data |
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