CN113077638A - Method, device and equipment for vehicle speed recommendation - Google Patents

Method, device and equipment for vehicle speed recommendation Download PDF

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Publication number
CN113077638A
CN113077638A CN202110261776.9A CN202110261776A CN113077638A CN 113077638 A CN113077638 A CN 113077638A CN 202110261776 A CN202110261776 A CN 202110261776A CN 113077638 A CN113077638 A CN 113077638A
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target area
traffic flow
speed
traffic
road
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CN113077638B (en
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李梦
张奕
佘红艳
常思阳
陈剑秋
陈书佩
吴英贤
唐博博
钱诗磊
夏晓敬
杨沂波
马旭光
张双
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Hualui Cloud Technology Co ltd
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Hua Lu Yun Technology Co ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/065Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/052Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/10Internal combustion engine [ICE] based vehicles
    • Y02T10/40Engine management systems

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  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The application relates to the technical field of traffic, and discloses a method for recommending vehicle speed, which comprises the following steps: acquiring the traffic flow at the inlet of a target area; acquiring an inlet suggested speed of a target area by utilizing a first preset model according to the traffic flow at the inlet of the target area; recommending the target area import suggestion speed to the user. In consideration of the relationship between the traffic flow at the inlet and the traffic flow speed at the inlet, the suggested speed at the inlet of the target area is given according to the traffic flow at the inlet of the target area, so that the traffic flow balance of the target area is realized, and a better traffic induction effect is achieved. The application also discloses a device and equipment for recommending the vehicle speed.

Description

Method, device and equipment for vehicle speed recommendation
Technical Field
The present application relates to the field of traffic guidance technologies, and for example, to a method, an apparatus, and a device for vehicle speed recommendation.
Background
Traffic guidance is based on modern technologies such as electronics, computers, networks and communication, improves a road traffic system by guiding the travel behavior of road users, prevents traffic jams, reduces the stay time of vehicles on roads, and finally achieves reasonable distribution of traffic flow on each road section in a road network.
In the process of implementing the embodiments of the present disclosure, it is found that at least the following problems exist in the related art: the existing traffic guidance technology generally monitors whether a certain target area is congested, and prompts a user to pay attention to control the vehicle speed under the condition that the target area is monitored to be congested, but cannot prompt the user to provide a specific vehicle speed suggestion, so that the traffic guidance effect is poor.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview nor is intended to identify key/critical elements or to delineate the scope of such embodiments but rather as a prelude to the more detailed description that is presented later.
The embodiment of the disclosure provides a method, a device and equipment for recommending vehicle speed, so as to improve traffic induction effect.
In some embodiments, the method comprises: acquiring the traffic flow at the inlet of a target area; obtaining an inlet suggested speed of the target area by utilizing a first preset model according to the traffic flow at the inlet of the target area; recommending the target area import suggestion speed to a user.
In some embodiments, the apparatus comprises: comprising a processor and a memory storing program instructions, the processor being configured, upon execution of the program instructions, to perform the method for vehicle speed recommendation described above.
In some embodiments, the apparatus comprises the above-described means for vehicle speed recommendation.
The method, the device and the equipment for recommending the vehicle speed provided by the embodiment of the disclosure can realize the following technical effects: the method comprises the steps of obtaining a traffic flow at an inlet of a target area, obtaining an inlet suggested speed of the target area by using a first preset model according to the traffic flow at the inlet of the target area, and recommending the inlet suggested speed of the target area to a user. Because the relationship between the traffic flow at the inlet of the target area and the speed of the traffic flow at the inlet of the target area is considered, the suggested speed at the inlet of the target area is given according to the traffic flow at the inlet of the target area, so that the traffic flow balance of the target area can be better induced, and a better traffic induction effect is achieved.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
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One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:
FIG. 1 is a schematic illustration of a method for vehicle speed recommendation provided by an embodiment of the present disclosure;
FIG. 2 is a schematic illustration of another method for vehicle speed recommendation provided by an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of an apparatus for vehicle speed recommendation provided by an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
The terms "first," "second," and the like in the description and in the claims, and the above-described drawings of embodiments of the present disclosure, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the present disclosure described herein may be made. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.
The term "plurality" means two or more unless otherwise specified.
In the embodiment of the present disclosure, the character "/" indicates that the preceding and following objects are in an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes objects, meaning that three relationships may exist. For example, a and/or B, represents: a or B, or A and B.
As shown in fig. 1, an embodiment of the present disclosure provides a method for vehicle speed recommendation, including:
step S101, obtaining the traffic flow at the entrance of the target area.
And step S102, obtaining the suggested speed of the target area inlet by utilizing a first preset model according to the traffic flow at the target area inlet.
And step S103, recommending the import suggestion speed of the target area to the user.
By adopting the method for recommending the vehicle speed provided by the embodiment of the disclosure, the vehicle flow at the inlet of the target area is obtained, the recommended speed of the inlet of the target area is obtained by utilizing the first preset model according to the vehicle flow at the inlet of the target area, and the recommended speed of the inlet of the target area is recommended to the user. In consideration of the relationship between the traffic flow at the inlet and the traffic flow speed at the inlet, the suggested speed at the inlet of the target area is given according to the traffic flow at the inlet of the target area, so that the traffic flow balance of the target area is realized, and a better traffic induction effect is achieved.
Optionally, the first preset model is a linear regression fitting model, and the first preset model is obtained as follows: acquiring import traffic flow sample data and import traffic flow speed sample data; and obtaining a first preset model according to the import traffic flow sample data and the import traffic flow speed sample data.
Optionally, the vehicle flow at the entrance of the target area and the inlet vehicle flow sample data are collected by a first vehicle flow detector. Optionally, the first vehicle flow detector is a video detector.
Optionally, the method further comprises collecting inlet traffic flow speed sample data by a first speed detector. Optionally, the first speed detector is a video detector.
Optionally, the linear regression fitting model is trained according to the import traffic flow sample data and the import traffic flow speed sample data to obtain a first preset model.
Optionally, the first preset point p is obtained according to the import traffic flow sample data and the import traffic flow speed sample datai(qii) (ii) a Wherein q isiFor the ith import traffic flow sample data, μiAn ith inlet traffic flow speed sample, i ═ 1, 2, · n; according to a first preset point pi(qii) Performing polynomial fitting to obtain a first alternative model; polynomial y ═ a0+a1·x1+......+akxn k(ii) a Wherein y is inlet traffic flow speed sample fitting data, x1,x2,......,xnFitting data to the import traffic flow sample, a0,a1,......,akThe parameters of the first alternative model are n and k are positive integers; and determining the first candidate model with the minimum deviation square sum between the first candidate model and the first preset point as the first preset model.
Optionally, the sum of squared deviations R between the first alternative model and the first preset point2At the minimum, R is2Corresponding a0,a1,......,akAnd determining parameters of the first preset model, thereby determining the first preset model.
Optionally by calculation
Figure BDA0002970327760000041
Obtaining the deviation square sum R between the first alternative model and the first preset point2(ii) a Wherein, muiSample data for the ith inlet traffic flow speed.
Optionally, obtaining the suggested speed of the target area entrance by using a first preset model according to the traffic flow at the target area entrance comprises: acquiring the traffic flow of a target area; and under the condition that the traffic flow of the target area meets a first preset condition, calculating by using a first preset model according to the traffic flow at the entrance of the target area to obtain the suggested speed of the entrance of the target area.
Optionally, the traffic flow Q of the target area is acquired according to a third traffic flow detectors. Optionally, the third traffic flow detector is a video detector.
Optionally, when the traffic flow of the target area meets a first preset condition, obtaining the suggested speed of the target area entrance by using a first preset model according to the traffic flow at the target area entrance includes: and under the condition that the traffic flow of the target area reaches a set threshold value, calculating by using a first preset model according to the traffic flow at the entrance of the target area to obtain the suggested speed of the entrance of the target area.
Therefore, under the condition that the traffic flow of the target area reaches the set threshold value, the suggested speed of the entrance of the target area is obtained, so that the traffic flow at the entrance of the target area is controlled, the traffic flow balance of the target area is realized, and a better traffic induction effect is achieved.
Optionally, the set threshold is determined as follows: acquiring the road traffic capacity corresponding to various roads in a preset road traffic database; the road traffic database stores the corresponding relation between the type of the road and the traffic capacity of the road; and determining a set threshold according to the road traffic capacity of various roads.
Optionally, the types of roads include: express way, main road, secondary road, branch road.
Optionally, obtaining the set threshold according to the road traffic capacity of various roads includes: calculating by using the road traffic capacity of various roads according to a preset algorithm to obtain the road traffic capacity of a target area; and determining a set threshold according to the road traffic capacity of the target area.
Optionally, by calculating Cs=Ca*Na+0.9*Cb*Nb+0.8*Cc*Nc+0.6*Cd*NdObtaining the road traffic capacity C of the target areas(ii) a Wherein, CsThe road traffic capacity of the target area; caThe traffic capacity of the road corresponding to the express way, NaThe number of roads for express way; cbThe traffic capacity of the road corresponding to the main road, NbThe number of roads as a trunk road; ccThe road traffic capacity corresponding to the secondary road, NcThe number of roads of the secondary trunk road; cdThe road traffic capacity corresponding to the branch, NdThe number of roads that are branches.
Optionally, the threshold is set to 0.8 × Cs. Under the condition of adopting the set threshold, aiming at the distribution rule of the traffic flow in the road network and the road traffic capacity of various roads in the road network, the control and regulation means are utilized to ensure that the traffic flow can be uniformly distributed on the road network in different time and space, thereby reducing the occurrence of traffic jam and blockage.
Optionally, recommending the target area import suggestion speed to the user includes: and pushing the recommended speed of the entrance of the target area to the user through the traffic guidance screen.
Optionally, recommending the target area import suggestion speed to the user includes: and acquiring a first target vehicle, recommending the entrance suggested speed of the target area to a user corresponding to the first target vehicle, namely, sending the exit suggested speed of the target area to a user terminal corresponding to the first target vehicle. Optionally, the user terminal includes a mobile phone, a tablet computer, a vehicle-mounted computer, and the like.
Optionally, obtaining a first target vehicle comprises: determining a vehicle with a vehicle position within a first preset distance at the entrance of the target area as a first candidate vehicle; and determining a first candidate vehicle with the vehicle action track as the vehicle driving to the target area as a first target vehicle.
Optionally, the vehicle travel track is determined from the turn signals of the first candidate vehicle. Optionally, the vehicle driving track is determined according to the ground mark of the lane where the first candidate vehicle is located.
Optionally, after obtaining the traffic flow at the entrance of the target area, the method further includes: acquiring the traffic flow at an outlet of a target area; obtaining a suggested speed of the outlet of the target area by utilizing a second preset model according to the traffic flow at the outlet of the target area; recommending the target area exit suggested speed to the user.
Optionally, the second preset model is a linear regression fitting model, and the second preset model is obtained as follows: acquiring outlet traffic flow sample data and outlet traffic flow speed sample data; and obtaining a second preset model according to the outlet traffic flow sample data and the outlet traffic flow speed sample data.
Optionally, the traffic flow at the exit of the target area and the exit traffic flow sample data are collected by a second traffic flow detector. Optionally, the second vehicle flow detector is a video detector.
Optionally, exit traffic flow speed sample data is collected by a second speed detector. Optionally, the second velocity detector is a video detector.
Optionally, a second preset point p is obtained according to the exit traffic flow sample data and the exit traffic flow speed sample datal(qll);Wherein q islSample data of the first exit traffic flow,. mu.lA sample data of the speed of the first exit vehicle stream, wherein l is 1, 2. According to a second preset point pl(qll) Performing polynomial fitting to obtain a second alternative model; polynomial is
Figure BDA0002970327760000061
Wherein y 'is outlet flow velocity sample fitting data, x'1,x′2,......,x′mData, a 'are fitted to the Exit traffic samples'0,a′1,......,a′hThe parameters of the second alternative model are m and h are positive integers; and determining the second candidate model with the minimum deviation square sum between the second candidate model and the second preset point as the second preset model.
Optionally, the sum of squared deviations R 'between the second candidate model and the second preset point'2At minimum, R'2Corresponding a'0,a′1,......,a′hAnd determining parameters of the second preset model, thereby determining the second preset model.
Optionally by calculation
Figure BDA0002970327760000062
Obtaining deviation sum of squares R 'between second candidate model and second preset point'2(ii) a Wherein, mulAnd the sample data of the speed of the first exit traffic flow.
Optionally, obtaining the target area outlet suggested speed by using a second preset model according to the traffic flow at the target area outlet includes: acquiring the traffic flow of a target area; and under the condition that the traffic flow of the target area meets a second preset condition, calculating by using a second preset model according to the traffic flow at the outlet of the target area to obtain the suggested speed at the outlet of the target area.
Optionally, the traffic flow Q of the target area is acquired according to a third traffic flow detectors. Optionally, the third traffic flow detector is a video detector.
Optionally, the second preset condition is that the traffic flow in the target area reaches a set threshold.
Therefore, under the condition that the traffic flow of the target area reaches the set threshold value, the suggested speed of the target area exit is obtained, so that the traffic flow control is carried out on the target area exit, the traffic flow balance of the target area is realized, and a better traffic induction effect is achieved.
Optionally, the set threshold is determined as follows: acquiring the road traffic capacity corresponding to various roads in a preset road traffic database; the road traffic database stores the corresponding relation between the type of the road and the traffic capacity of the road; and determining a set threshold according to the road traffic capacity of various roads.
Optionally, the types of roads include: express way, main road, secondary road, branch road.
Optionally, obtaining the set threshold according to the road traffic capacity of various roads includes: calculating by using the road traffic capacity of various roads according to a preset algorithm to obtain the road traffic capacity of a target area; and determining a set threshold according to the road traffic capacity of the target area.
Optionally, by calculating Cs=Ca*Na+0.9*Cb*Nb+0.8*Cc*Nc+0.6*Cd*NdObtaining the road traffic capacity C of the target areas(ii) a Wherein, CsThe road traffic capacity of the target area; caThe traffic capacity of the road corresponding to the express way, NaThe number of roads for express way; cbThe traffic capacity of the road corresponding to the main road, NbThe number of roads as a trunk road; ccThe road traffic capacity corresponding to the secondary road, NcThe number of roads of the secondary trunk road; cdThe road traffic capacity corresponding to the branch, NdThe number of roads that are branches.
Optionally, the threshold is set to 0.8 × Cs. Under the condition of adopting the set threshold value, aiming at the distribution rule of traffic flow in the road network and the road traffic capacity of various roads in the road network,the control and regulation means are used to make the traffic flow be uniformly distributed on the road network in different time and space so as to reduce the traffic jam and jam.
Optionally, recommending the target area exit suggested speed to the user includes: and pushing the suggested speed of the target area exit to the user through the traffic guidance screen.
Optionally, recommending the target area exit suggested speed to the user includes: and acquiring a second target vehicle, recommending the target area exit suggested speed to a user corresponding to the second target vehicle, namely, sending the target area exit suggested speed to a user terminal corresponding to the second target vehicle. Optionally, the user terminal includes a mobile phone, a tablet computer, a vehicle-mounted computer, and the like.
Optionally, obtaining a second target vehicle comprises: determining vehicles with vehicle positions within a second preset distance of the target area exit as second candidate vehicles; and determining a second candidate vehicle with the vehicle action track of driving away from the target area as a second target vehicle.
Optionally, the vehicle travel track is determined from the turn signals of the second candidate vehicle. Optionally, the vehicle driving track is determined according to the ground mark of the lane where the second candidate vehicle is located.
Optionally, in a case where the traffic flow at the target area inlet is smaller than the traffic flow at the target area outlet, and the traffic flow at the target area inlet and the traffic flow at the target area outlet satisfy a third preset condition, the recommendation of the target area inlet suggested speed and the target area outlet suggested speed to the user is stopped. Optionally, the third preset condition is qα-qβ+Qs≤0.8*Cs(ii) a Wherein q isαIs the traffic flow at the entrance of the target area, qβIs the traffic flow at the exit of the target area, QsTraffic flow for the target area, CsIs the road traffic capacity of the target area.
As shown in fig. 2, an embodiment of the present disclosure provides a method for vehicle speed recommendation, including:
step S201, obtaining the traffic flow at the entrance of a target area; and acquiring the traffic flow at the outlet of the target area.
Step S202, the traffic flow of the target area is obtained.
And step S203, under the condition that the traffic flow of the target area reaches a set threshold, calculating by using a first preset model according to the traffic flow at the entrance of the target area to obtain the suggested speed of the entrance of the target area.
And step S204, under the condition that the traffic flow of the target area reaches a set threshold, calculating by using a second preset model according to the traffic flow at the outlet of the target area to obtain the suggested speed at the outlet of the target area.
Step S205, determining a vehicle with the vehicle position within a first preset distance at the entrance of the target area as a first candidate vehicle; and determining a first candidate vehicle with the vehicle action track as the vehicle driving to the target area as a first target vehicle.
Step S206, determining the vehicle with the vehicle position within a second preset distance at the exit of the target area as a second candidate vehicle; and determining a second candidate vehicle with the vehicle action track of driving away from the target area as a second target vehicle.
Step S207, recommending the entrance suggested speed of the target area to a user corresponding to the first target vehicle; and recommending the target area exit suggested speed to a user corresponding to the second target vehicle.
Step S208, under the condition that the traffic flow at the inlet of the target area is smaller than that at the outlet of the target area, and the traffic flow at the inlet of the target area and the traffic flow at the outlet of the target area meet a third preset condition, the recommendation of the target area inlet suggested speed and the target area outlet suggested speed to the user is stopped.
By adopting the method for recommending the vehicle speed provided by the embodiment of the disclosure, the vehicle flow at the inlet of the target area is obtained, the recommended speed of the inlet of the target area is obtained by utilizing the first preset model according to the vehicle flow at the inlet of the target area, and the recommended speed of the inlet of the target area is recommended to the user. In consideration of the relationship between the traffic flow at the inlet and the traffic flow speed at the inlet, the suggested speed at the inlet of the target area is given according to the traffic flow at the inlet of the target area, so that the traffic flow balance of the target area is realized, and a better traffic induction effect is achieved.
As shown in fig. 3, an embodiment of the present disclosure provides a device for vehicle speed recommendation, which includes a processor (processor)100 and a memory (memory)101 storing program instructions. Optionally, the apparatus may also include a Communication Interface (Communication Interface)102 and a bus 103. The processor 100, the communication interface 102, and the memory 101 may communicate with each other via a bus 103. The communication interface 102 may be used for information transfer. The processor 100 may call program instructions in the memory 101 to perform the method for vehicle speed recommendation of the above-described embodiment.
Further, the program instructions in the memory 101 may be implemented in the form of software functional units and stored in a computer readable storage medium when sold or used as a stand-alone product.
The memory 101, which is a computer-readable storage medium, may be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 100 executes functional applications and data processing, i.e., implementing the method for vehicle speed recommendation in the above-described embodiments, by executing program instructions/modules stored in the memory 101.
The memory 101 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. In addition, the memory 101 may include a high-speed random access memory, and may also include a nonvolatile memory.
By adopting the device for recommending the vehicle speed, which is provided by the embodiment of the disclosure, the target area entrance suggested speed can be obtained by obtaining the vehicle flow at the entrance of the target area and utilizing the first preset model according to the vehicle flow at the entrance of the target area, and the target area entrance suggested speed is recommended to the user. In consideration of the relationship between the traffic flow at the inlet and the traffic flow speed at the inlet, the suggested speed at the inlet of the target area is given according to the traffic flow at the inlet of the target area, so that the traffic flow balance of the target area is realized, and a better traffic induction effect is achieved.
The disclosed embodiment provides a device comprising the above-mentioned device for vehicle speed recommendation.
Optionally, the apparatus comprises: computers, servers, traffic induction devices, etc.
The device can obtain the import suggested speed of the target area by acquiring the traffic flow at the import of the target area and utilizing the first preset model according to the traffic flow at the import of the target area, and recommend the import suggested speed of the target area to the user. In consideration of the relationship between the traffic flow at the inlet and the traffic flow speed at the inlet, the suggested speed at the inlet of the target area is given according to the traffic flow at the inlet of the target area, so that the traffic flow balance of the target area is realized, and a better traffic induction effect is achieved.
Embodiments of the present disclosure provide a computer-readable storage medium having stored thereon computer-executable instructions configured to perform the above-described method for vehicle speed recommendation.
The disclosed embodiments provide a computer program product comprising a computer program stored on a computer readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the above-described method for vehicle speed recommendation.
The computer-readable storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, where the computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising an …" does not exclude the presence of other like elements in a process, method or apparatus that comprises the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It can be clearly understood by the skilled person that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units may be merely a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Claims (10)

1. A method for vehicle speed recommendation, comprising:
acquiring the traffic flow at the inlet of a target area;
obtaining an inlet suggested speed of the target area by utilizing a first preset model according to the traffic flow at the inlet of the target area;
recommending the target area import suggestion speed to a user.
2. The method according to claim 1, characterized in that the first predetermined model is a linear regression fitting model, said first predetermined model being obtained in the following way:
acquiring import traffic flow sample data and import traffic flow speed sample data;
and obtaining a first preset model according to the import traffic flow sample data and the import traffic flow speed sample data.
3. The method of claim 1, wherein obtaining a target area entrance suggested speed using a first preset model based on the traffic flow at the target area entrance comprises:
acquiring the traffic flow of a target area;
and under the condition that the traffic flow of the target area meets a first preset condition, calculating by using a first preset model according to the traffic flow at the entrance of the target area to obtain the suggested speed of the entrance of the target area.
4. The method according to claim 3, wherein in the case that the traffic flow of the target area satisfies a first preset condition, obtaining a target area entrance suggested speed according to the traffic flow at the entrance of the target area by using a first preset model comprises:
under the condition that the traffic flow of the target area reaches a set threshold value, calculating by using a first preset model according to the traffic flow at the entrance of the target area to obtain an entrance suggested speed of the target area;
the set threshold is determined as follows: acquiring the road traffic capacity corresponding to various roads in a preset road traffic database; the road traffic database stores the corresponding relation between the type of the road and the traffic capacity of the road; and determining a set threshold according to the road traffic capacity corresponding to various roads.
5. The method of claim 4, wherein obtaining the set threshold according to the road traffic capacity of each road comprises:
calculating by using the road traffic capacity of various roads according to a preset algorithm to obtain the road traffic capacity of a target area;
and determining a set threshold according to the road traffic capacity of the target area.
6. The method of any one of claims 1 to 5, wherein said obtaining the traffic flow at the entrance of the target area further comprises:
acquiring the traffic flow at an outlet of a target area;
obtaining a suggested speed of the outlet of the target area by utilizing a second preset model according to the traffic flow at the outlet of the target area;
recommending the target area exit suggested speed to a user.
7. The method according to claim 6, characterized in that the second predetermined model is a linear regression fitting model, said second predetermined model being obtained in the following way:
acquiring outlet traffic flow sample data and outlet traffic flow speed sample data;
and obtaining a second preset model according to the outlet traffic flow sample data and the outlet traffic flow speed sample data.
8. The method of claim 6, wherein obtaining a target zone exit suggested speed using a second pre-set model based on the flow rate of the vehicle at the target zone exit comprises:
acquiring the traffic flow of a target area;
and under the condition that the traffic flow of the target area meets a second preset condition, calculating by using a second preset model according to the traffic flow at the outlet of the target area to obtain the suggested speed at the outlet of the target area.
9. An apparatus for vehicle speed recommendation, comprising a processor and a memory storing program instructions, characterized in that the processor is configured to perform a method for vehicle speed recommendation according to any one of claims 1 to 8 when executing the program instructions.
10. An arrangement, characterized by comprising an arrangement for vehicle speed recommendation according to claim 9.
CN202110261776.9A 2021-03-10 2021-03-10 Method, device and equipment for vehicle speed recommendation Active CN113077638B (en)

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