CN111447592A - Method, equipment and storage medium for determining transmission resources - Google Patents
Method, equipment and storage medium for determining transmission resources Download PDFInfo
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- CN111447592A CN111447592A CN202010212275.7A CN202010212275A CN111447592A CN 111447592 A CN111447592 A CN 111447592A CN 202010212275 A CN202010212275 A CN 202010212275A CN 111447592 A CN111447592 A CN 111447592A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/46—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for vehicle-to-vehicle communication [V2V]
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096791—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is another vehicle
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
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- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
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Abstract
The embodiment of the application discloses a method, equipment and a storage medium for determining transmission resources, which are applied to an internet of vehicles and can comprehensively consider resource differences transmitted by N different target vehicles in the internet of vehicles by M road condition information, so that the target resource amount is calculated based on road condition information state sequences respectively corresponding to the N target vehicles, and the obtained target resource amount is more fit with the actually required resource amount. The method for determining transmission resources provided by the embodiment of the application comprises the following steps: acquiring M kinds of road condition information in a target transmission channel, wherein M is greater than 0 and is an integer; determining road condition information state sequences respectively corresponding to N target vehicles on a target transmission channel based on the M kinds of road condition information, wherein N is more than 2 and is an integer; and determining the target resource quantity based on the road condition information state sequences corresponding to the N target vehicles.
Description
Technical Field
The embodiment of the application relates to the field of vehicle-road cooperation and vehicle networking, in particular to a method, equipment and a storage medium for determining transmission resources.
Background
In the vehicle-road cooperative system, the internet of vehicles is used as a system for sensing, transmitting and outputting road condition information, the road condition information on a transmission channel can be collected through a plurality of input vehicles in the internet of vehicles, the road condition information is transmitted through a plurality of transmission vehicles, and finally the road condition information is output by a plurality of vehicles.
At present, in the process of determining the consumption of the transmission resources of the traffic information, the conventional technical solution is to determine the amount of resources that need to be consumed corresponding to a certain vehicle (for example, vehicle a) on the transmission channel, and then take the amount of resources that need to be consumed corresponding to the vehicle as the amount of resources that need to be consumed by the other vehicles on the transmission channel, so as to obtain the total amount of resources that need to be consumed on the transmission channel by multiplying the amount of resources that need to be consumed corresponding to the vehicle a by the total number of vehicles on the transmission channel.
However, in the current method for determining the resource amount, the resource amount of a certain vehicle is regarded as the resource amount of the other vehicles, and the resource difference of road condition information transmitted between different vehicles is ignored, so that the finally determined resource total amount is far from the actual resource total amount and is not in accordance with the reality.
Disclosure of Invention
The embodiment of the application provides a method, equipment and a storage medium for determining transmission resources, which comprehensively consider resource differences transmitted by M road condition information among N different target vehicles, thereby calculating target resource quantities based on road condition information state sequences respectively corresponding to the N target vehicles, and enabling the obtained target resource quantities to be more fit with actually required resource quantities.
In view of this, the embodiments of the present application provide the following solutions:
In a first aspect, an embodiment of the present application provides a method for determining transmission resources, where the method may include:
Acquiring M kinds of road condition information in a target transmission channel, wherein M is greater than 0 and is an integer;
Determining road condition information state sequences respectively corresponding to N target vehicles on the target transmission channel based on the M kinds of road condition information, wherein N is more than 2 and is an integer;
And determining the target resource quantity based on the road condition information state sequence corresponding to the N target vehicles.
In a second aspect, an embodiment of the present application provides a transmission resource determining apparatus, where the transmission resource determining apparatus may include:
The system comprises an acquisition unit, a transmission unit and a processing unit, wherein the acquisition unit is used for acquiring at least M kinds of road condition information in a target transmission channel, M is more than 0, and M is an integer;
A first determining unit, configured to determine, according to the M types of traffic information, traffic information state sequences corresponding to N target vehicles on the target transmission channel, where N is greater than 2, and N is an integer;
And the second determining unit is used for determining the target resource quantity based on the road condition information state sequences corresponding to the N target vehicles.
Optionally, with reference to the second aspect, in a first possible implementation manner, the first determining unit includes:
The first determining module is used for determining a first road condition information state sequence corresponding to a target vehicle k according to the M kinds of road condition information, wherein k is more than 0 and less than or equal to N, and k is an integer;
The first determining module is configured to determine, according to a preset transmission relationship in the target transmission channel, a second road condition information state sequence corresponding to the target vehicle k +1 according to the first road condition information state sequence, where the preset transmission relationship is a relationship between transmission from the target vehicle k to the target vehicle k +1 in sequence.
Optionally, with reference to the first possible implementation manner of the second aspect, in a second possible implementation manner, the obtaining unit is further configured to obtain a first preset transmission matrix before determining, according to a preset transmission relationship in the target transmission channel, a second road condition information state sequence corresponding to a target vehicle k +1 according to the first road condition information state sequence, where the first preset transmission matrix is a transmission matrix for transmitting the at least M kinds of road condition information from the target vehicle k to the target vehicle k + 1;
Correspondingly, the first determining module includes:
And the first determining submodule is used for determining a second road condition information state sequence corresponding to the target vehicle k +1 according to the first preset transmission matrix and the first road condition information state sequence.
Optionally, with reference to the first to second possible implementation manners of the first aspect of the second aspect, in a third possible implementation manner, the second determining unit includes:
A second determining module, configured to determine first sequence information in the first road condition information state sequence and second sequence information in the second road condition information state sequence, where the first sequence information indicates a number of road condition information in the target vehicle k, and the second sequence information indicates a number of road condition information in the target vehicle k + 1;
The second determining module is configured to determine a first resource amount according to the first sequence information and the second sequence information, where the first resource amount is a unit resource amount required for transmission from the target vehicle k to the target vehicle k + 1;
The second determining module is configured to determine the target resource amount according to the first resource amount.
Optionally, with reference to the second aspect and the first to second possible implementation manners of the second aspect, in a fourth possible implementation manner, the road condition information includes a road condition, a weather condition, or a vehicle condition of the target vehicle, and the resource corresponding to the target resource amount includes an energy consumption condition, a bandwidth condition, or a calculation resource condition.
Optionally, with reference to the second aspect and the first to second possible implementation manners of the second aspect, in a fifth possible implementation manner, the road condition information includes a road condition, a weather condition, or a vehicle condition of the target vehicle, and the resource corresponding to the target resource amount includes an energy consumption condition, a bandwidth condition, or a calculation resource condition.
In a third aspect, an embodiment of the present application provides a computer device, including:
The method comprises the following steps: an input/output (I/O) interface, a processor and a memory,
The memory stores program instructions;
The processor is adapted to execute program instructions stored in the memory for implementing the method according to any one of the possible implementations of the first aspect as described above.
A fourth aspect of the present application provides a computer-readable storage medium having stored thereon computer-executable instructions for performing the method according to any one of the possible implementation manners of the first aspect and the first aspect.
A fifth aspect of embodiments of the present application provides a computer program product comprising instructions which, when run on a computer or processor, cause the computer or processor to perform the method of any of the above aspects.
According to the technical scheme, the embodiment of the application has the following advantages:
In the embodiment of the application, by acquiring M types of traffic information in the target transmission channel, the transmission resource determining device can determine the traffic information state sequences corresponding to the N target vehicles based on the M types of traffic information, and determine the target resource amount based on the traffic information state sequences corresponding to the N target vehicles. That is to say, in this embodiment, the traffic information state sequences corresponding to the N target vehicles respectively are determined through the M traffic information, and the resource differences transmitted between the N different target vehicles by the M traffic information are comprehensively considered, so that the target resource amount is calculated based on the traffic information state sequences corresponding to the N target vehicles respectively, and the obtained target resource amount greatly fits the actually required resource amount.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present application.
FIG. 1 is a schematic diagram of an architecture of a processing system in an embodiment of the present application;
Fig. 2 is a schematic view of an application scenario provided in an embodiment of the present application;
Fig. 3 is a schematic diagram of an embodiment of a method for determining transmission resources provided by an embodiment of the present application;
Fig. 4 is a schematic diagram of another embodiment of a method for determining transmission resources provided in an embodiment of the present application;
Fig. 5 is a schematic diagram of another embodiment of a method for determining transmission resources provided in an embodiment of the present application;
Fig. 6 is a schematic diagram of an embodiment of a transmission resource determination apparatus provided in an embodiment of the present application;
Fig. 7 is a schematic structural diagram of a computer device provided in an embodiment of the present application.
Detailed Description
The embodiment of the application provides a method, equipment and a storage medium for determining transmission resources, which comprehensively consider resource differences transmitted by M road condition information among N different target vehicles, thereby calculating target resource quantities based on road condition information state sequences respectively corresponding to the N target vehicles, and enabling the obtained target resource quantities to be more fit with actually required resource quantities.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
With the research and progress of artificial intelligence technology, the artificial intelligence technology is developed and applied in a plurality of fields, such as common smart homes, smart wearable devices, virtual assistants, smart speakers, smart marketing, unmanned driving, automatic driving, unmanned aerial vehicles, robots, smart medical care, smart customer service, and the like.
The automatic driving technology generally comprises technologies such as high-precision maps, environment perception, behavior decision, path planning, motion control and the like, and the self-determined driving technology has wide application prospect,
Artificial Intelligence (AI) is a theory, method, technique and application system that uses a digital computer or a machine controlled by a digital computer to simulate, extend and expand human Intelligence, perceive the environment, acquire knowledge and use the knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence. Artificial intelligence is the research of the design principle and the realization method of various intelligent machines, so that the machines have the functions of perception, reasoning and decision making.
The artificial intelligence technology is a comprehensive subject and relates to the field of extensive technology, namely the technology of a hardware level and the technology of a software level. The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.
Computer Vision technology (CV) Computer Vision is a science for researching how to make a machine "see", and further refers to that a camera and a Computer are used to replace human eyes to perform machine Vision such as identification, tracking and measurement on a target, and further image processing is performed, so that the Computer processing becomes an image more suitable for human eyes to observe or transmitted to an instrument to detect. As a scientific discipline, computer vision research-related theories and techniques attempt to build artificial intelligence systems that can capture information from images or multidimensional data. Computer vision technologies generally include image processing, image recognition, image semantic understanding, image retrieval, OCR, video processing, video semantic understanding, video content/behavior recognition, three-dimensional object reconstruction, 3D technologies, virtual reality, augmented reality, synchronous positioning, map construction, and other technologies, and also include common biometric technologies such as face recognition and fingerprint recognition.
At present, in the process of determining the consumption of the transmission resources of the traffic information, the conventional technical solution is to determine the amount of resources that need to be consumed corresponding to a certain vehicle (for example, vehicle a) on the transmission channel, and then take the amount of resources that need to be consumed corresponding to the vehicle as the amount of resources that need to be consumed by the other vehicles on the transmission channel, so as to obtain the total amount of resources that need to be consumed on the transmission channel by multiplying the amount of resources that need to be consumed corresponding to the vehicle a by the total number of vehicles on the transmission channel. However, in the current method for determining the resource amount, the resource amount of a certain vehicle is regarded as the resource amount of the other vehicles, and the resource difference of road condition information transmitted between different vehicles is ignored, so that the finally determined resource total amount is far from the actual resource total amount and is not in accordance with the reality.
In order to solve the above problem, in the embodiment of the present application, a method for determining transmission resources is provided, and the method is applied to the processing system shown in fig. 1 and the application scenario described in fig. 2. Please refer to fig. 1, which is a schematic diagram of an architecture of a processing system according to an embodiment of the present application. As shown in fig. 1, the schematic architecture diagram includes a transmission resource determining device and at least N target vehicles, where N is greater than 2 and N is an integer, a terminal device corresponding to an input vehicle in the N target vehicles may be configured to obtain traffic information on a transmission channel and report the traffic information to the transmission resource determining device, so that the transmission resource determining device may convert the traffic information into a traffic information state sequence corresponding to the input vehicle, and determine traffic information state sequences corresponding to the transmission vehicle and the output vehicle based on the traffic information state sequence corresponding to the input vehicle, so as to determine the amount of target resources based on the traffic information state sequences corresponding to the N target vehicles. It should be understood that the above-mentioned transmission resource determining device may be a cloud computing server or the like, and is not limited in this embodiment.
In addition, please refer to fig. 2, which is a schematic view of an application scenario provided in the embodiment of the present application. As can be seen from fig. 2, the target transmission lane includes 6 vehicles including an input vehicle, a transmission vehicle, and an output vehicle, where the vehicle 1 is the input vehicle, the transmission vehicles are the vehicles 2, 3, 4, and 5 on the target transmission lane, and the output vehicle is the vehicle 6. In addition, the input vehicle is used for collecting road condition information, the road condition information is transmitted to the output vehicle through the transmission vehicle, and finally the output vehicle outputs the road condition information, for example, the vehicle 1 is used for collecting road condition information, the road condition information is transmitted to the vehicle 6 through the vehicle 2, the vehicle 3, the vehicle 4 and the vehicle 5 in sequence, and finally the vehicle 6 outputs the road condition information.
It should be noted that the total number of vehicles on the target transmission channel depicted in fig. 2 may be other than 6, such as: 8, 9, etc., and the total number of vehicles on the target lane is not limited in this embodiment, and the foregoing 6 vehicles are only an exemplary illustration; in addition, the aforementioned input vehicle is not limited to the vehicle 1, and the number of vehicles of the input vehicle is not limited, and the aforementioned representation of the input vehicle as the vehicle 1 is merely a schematic illustration; the aforementioned transmission vehicles are not limited to the vehicle 2, the vehicle 3, the vehicle 4, the vehicle 5, and the number of vehicles of the transmission vehicles, and the aforementioned representation of the transmission vehicles as the vehicle 2, the vehicle 3, the vehicle 4, and the vehicle 5 is only one schematic illustration; the aforementioned output vehicle is not limited to the vehicle 6, and the number of vehicles of the output vehicle is not limited, and the aforementioned representation of the output vehicle as the vehicle 6 is merely a schematic illustration. Secondly, the transmission direction is not limited to the transmission direction from vehicle 1- > vehicle 2- > vehicle 3- > vehicle 4- > vehicle 5- > vehicle 6, but in practical applications may also include the transmission direction from vehicle 1- > vehicle 3- > vehicle 4- > vehicle 2- > vehicle 6, etc., and the aforementioned vehicle 1- > vehicle 2- > vehicle 3- > vehicle 4- > vehicle 5- > vehicle 6 is only an illustrative illustration.
The method for determining transmission resources in this embodiment may be applied to the system architecture shown in fig. 1, and may also be applied to other system architectures, which are not limited herein.
For convenience of understanding, in the embodiments of the present application, a method for determining transmission resources is provided, and please refer to fig. 3, which is a schematic diagram illustrating an embodiment of the method for determining transmission resources provided in the embodiments of the present application.
As shown in fig. 3, a method for determining transmission resources provided in an embodiment of the present application may include:
301. Acquiring at least M kinds of road condition information in a target transmission channel, wherein M is greater than 0 and is an integer.
In this embodiment, the traffic information may be obtained by the terminal device in the input vehicle in the target transmission channel, so that the terminal device in the input vehicle may upload the traffic information to the transmission resource determining device, and the transmission resource determining device may obtain the traffic information in the target transmission channel.
It should be understood that the aforementioned M kinds of road condition information may include a road condition, a weather condition, and a vehicle condition of the target vehicle, and in practical applications, other conditions may be included besides the aforementioned road condition, weather condition, and vehicle condition, which will not be limited in the embodiment of the present application.
302. And determining the road condition information state sequences respectively corresponding to the N target vehicles on the target transmission channel based on the M kinds of road condition information, wherein N is more than 2, and N is an integer.
In this embodiment, the traffic information state sequence corresponding to each target vehicle may indicate a traffic information type in a transmission process from a previous target vehicle to a current target vehicle, and each traffic information state sequence includes corresponding sequence information, where the sequence information may be used to indicate the number of information in the corresponding target vehicle. Therefore, the transmission resource determining device may determine the traffic information state sequences corresponding to the N target vehicles on the target transmission channel based on the M traffic information after acquiring the at least M traffic information, so as to determine the target resource amount based on the traffic information state sequences corresponding to the N target vehicles.
In some embodiments, the foregoing step 302 in fig. 3 can also be understood with reference to fig. 4, where fig. 4 is another method for determining transmission resources provided by the embodiment of the present application. As shown in fig. 4, another method for determining transmission resources provided in the embodiment of the present application may include:
S401, determining a first road condition information state sequence corresponding to a target vehicle k based on the M kinds of road condition information, wherein k is greater than 0 and less than or equal to N, and k is an integer;
S402, according to a preset transmission relation in the target transmission channel, determining a second road condition information state sequence corresponding to a target vehicle k +1 according to the first road condition information state sequence, wherein the preset transmission relation is a relation between the target vehicle k and the target vehicle k +1 in sequence.
That is, after acquiring M kinds of traffic information, the input vehicle in the target transmission channel uploads the traffic information to the transmission resource determining device, so that the transmission resource determining device can convert the M kinds of traffic information into a traffic information state sequence corresponding to the input vehicle, that is, a first traffic information state sequence, and then uses the first traffic information state sequence as the input of another target vehicle according to a preset transmission relationship, so that the transmission resource determining device can convert the first traffic information state into a traffic information state sequence of another target vehicle, and so on, and finally converts the traffic information state sequence corresponding to the previous target vehicle into a traffic information state sequence corresponding to the output vehicle when the traffic information is transmitted to the output vehicle.
For example, based on the schematic diagram of the application scenario described in fig. 2, M road condition information is collected by the vehicle 1, and may be denoted as x _0, 1}, x _0, 2},. If the M road condition information is transmitted according to the transmission relationship described in fig. 2, that is, according to the transmission relationship described in fig. 2, the vehicle 1- > the vehicle 2- > the vehicle 3- > the vehicle 4- > the vehicle 5- > the vehicle 6, the transmission resource determining device may use the first road condition information state sequence x _ {1,1}, x _ {1,2},. ras, x _ {1, M _1} corresponding to the vehicle 1 as the input of the vehicle 2, so as to determine the second road condition information state sequence corresponding to the vehicle 2 based on x _ {1,1}, x _ {1,2},. ras, x _ {1, M _1}, x _ {2,2},. ras, x _ {2, M _2 }.
The transmission resource determining apparatus may use a second road condition information state sequence x _ {2,1}, x _ {2,2},. x _.,. x _ {2, m _2} corresponding to the vehicle 2 as an input of the vehicle 3, so as to determine a second road condition information state sequence, denoted as x _3, 1}, x _3, 2}, x _3, m _3} corresponding to the vehicle 3 based on the second road condition information state sequence x _2, 1}, x _2, 2 }.
The transmission resource determining apparatus may use a second road condition information state sequence x _ {3,1}, x _ {3,2},. x _.,. x _3, m _3} corresponding to the vehicle 3 as an input of the vehicle 4, so as to determine a second road condition information state sequence corresponding to the vehicle 4 based on the second road condition information state sequence x _3, 1}, x _3, 2}, x _3, m _3}, which is denoted as x _4, 1}, x _ {4,2},. x _.,. x _, 4, m _4 }.
The transmission resource determining apparatus may use a second road condition information state sequence x _ {4,1}, x _ {4,2},. 6, x _4, m _4} corresponding to the vehicle 4 as an input of the vehicle 5, so as to determine a second road condition information state sequence corresponding to the vehicle 5 based on the second road condition information state sequence x _4, 1}, x _4, 2}, x _4, m _4}, which is denoted as x _5, 1}, x _5, 2 }.
The transmission resource determining apparatus may use the second road condition information state sequence x _ {5,1}, x _5, 2},. 1, x _5, m _5} corresponding to the vehicle 5 as an input of the vehicle 6, so as to determine the second road condition information state sequence corresponding to the vehicle 4 based on the second road condition information state sequence x _5, 1}, x _5, 2}, x _5, m _5}, which is denoted as x _6, 1}, x _6, 2 }.
Optionally, in other embodiments, on the basis of the content described in the foregoing fig. 4, for the second road condition information state sequence corresponding to the target vehicle k +1, which is determined according to the preset transmission relationship in the target transmission channel in step S402, it can be understood with reference to fig. 5. Fig. 5 is a flowchart of another method for determining transmission resources according to an embodiment of the present application. As shown in fig. 5, another method for determining transmission resources provided in the embodiment of the present application may include:
S501, before determining the second road condition information state sequence corresponding to the target vehicle k +1 according to the first road condition information state sequence according to the preset transmission relationship in the target transmission channel, the method may further include: acquiring a first preset transmission matrix, wherein the first preset transmission matrix is a transmission matrix for transmitting the M kinds of road condition information from the target vehicle k to the target vehicle k + 1;
Correspondingly, determining the second road condition information state sequence corresponding to the target vehicle k +1 according to the first road condition information state sequence may include:
S502, determining a second road condition information state sequence corresponding to the target vehicle k +1 based on the first preset transmission matrix and the first road condition information state sequence.
That is, it is understood that the transmission resource determining device may obtain, from a cloud or a vehicle-road coordination server, a transmission matrix between the M road condition information transmitted from the target vehicle k to the target vehicle k +1, that is, a first preset transmission matrix, which is denoted as a _ { k +1}, where a _ { k +1} is an M _ { k +1} row M _ k column matrix. For example, in the schematic diagram of the application scenario described in fig. 2, the embodiment may record a first preset transmission matrix for transmitting M kinds of road condition information to an input vehicle (i.e., vehicle 1) as a _1, where a _1 is a matrix with M _1 rows and M _0 columns; a first preset transmission matrix for transmitting M types of road condition information from an input vehicle (i.e., vehicle 1) to a first transmission vehicle (i.e., vehicle 2) is denoted as a _2, and the like, which will not be specifically described in this embodiment of the present application.
After acquiring each transmission matrix transmitted from the target vehicle k to the target vehicle k +1, the transmission resource determining device may establish a transmission model of the road condition information between the target vehicles according to the corresponding first preset transmission matrix and the first road condition information state sequence, that is, the second road condition information state sequence corresponding to the target vehicle k +1
Therefore, the transmission resource determining device can obtain the corresponding second road condition information state sequence based on the transmission model, and can effectively simulate the transmission process of the M kinds of road condition information among different target vehicles.
For example, based on the embodiment described with reference to step S402 in fig. 4, the first road condition information state sequence x _1, x _1, 2, is obtained based on a _1 and x _0, 1, x _0, 2, and x _.
(x_{1,1},x_{1,2},...,x_{1,m_1})＝A_1*(x_{0,1},x_{0,2},...,x_{0,m_0})；
And the second road condition information state sequence x _2, 1, x _2, is available based on a _2 and x _1, x _1, 2, x _1, i.e.: the second road condition information state sequences corresponding to the remaining vehicles 3, 4, 5, and 6 may be understood with reference to the second road condition information state sequence corresponding to the vehicle 2 (x _2, 1, x _2, m _ 2), which will not be described herein again.
303. And determining the target resource quantity based on the road condition information state sequence corresponding to the N target vehicles.
In this embodiment, the traffic information state sequence can be used to indicate the number of traffic information types transmitted from the previous target vehicle to the current target vehicle, that is, the traffic information types transmitted from the target vehicle k to the target vehicle k + 1. Since the number of traffic information in different target vehicles is different and the number of traffic information can affect the transmission difference of traffic information in corresponding target vehicles, the transmission resource determining device can determine the resource amount required for the transmission of traffic information between N target vehicles based on the traffic information state sequences corresponding to the N target vehicles.
Optionally, in other embodiments, determining the target resource amount for the road condition information state sequence corresponding to N target vehicles may include:
Determining first sequence information in the first road condition information state sequence and second sequence information in the second road condition information state sequence, wherein the first sequence information represents the road condition information number in the target vehicle k, and the second sequence information represents the road condition information number in the target vehicle k + 1;
Determining a first resource amount, which is a unit resource amount required for transmission from the target vehicle k to the target vehicle k +1, based on the first sequence information and the second sequence information;
Determining the target resource amount based on the first resource amount and the N target vehicles.
That is, since the traffic information status sequence includes the corresponding sequence information, the sequence information may indicate the number of traffic information in the corresponding target vehicle, such as: m _ k may indicate the number of types of road condition information in the target vehicle k. In other embodiments, the amount of resources required for transmitting the traffic information between the target vehicles may be determined based on the sequence information, because the number of traffic information in different target vehicles is different and the number of traffic information may affect the difference in transmission of the traffic information in the corresponding target vehicles.
The first road condition information state sequence and the second road condition information state sequence respectively include corresponding first sequence information and second sequence information, the first sequence information can represent the number of road condition information in the target vehicle k, and the second sequence information can represent the number of road condition information in the target vehicle k + 1. Therefore, the transmission resource determining device can determine the unit resource amount required for transmitting the M kinds of traffic information from the target vehicle k to the target vehicle k +1, i.e. the first resource amount, which is denoted as M _ k × M _ { k +1}, from the first sequence information and the second sequence information. For example, the first resource amount required for transmitting the M kinds of traffic information to the vehicle 1 is M _0 × M _ 1; the first resource amount required for transmitting from the vehicle 1 to the vehicle 2 is m _1 × m _2, and the remaining first resource amounts respectively corresponding to transmitting from the vehicle 2 to the vehicle 3, transmitting from the vehicle 3 to the vehicle 4, transmitting from the vehicle 4 to the vehicle 5, and transmitting from the vehicle 5 to the vehicle 6 can be understood by referring to the first resource amount corresponding to transmitting from the vehicle 1 to the vehicle 2, which will not be described herein again.
Therefore, after determining each first resource amount corresponding to the target vehicle k +1 in the target channel, the transmission resource determining device may add each first resource amount, so as to obtain the target resource amounts that need to be consumed after the M kinds of road condition information are output by the input vehicle, the transmission vehicle, and the output vehicle after being acquired, and may record the target resource amounts as M _ 0M _1+ M _ 1M _2+.... + M _ { N-1 }. M _ { N } unit resource amounts, where N is the total number of vehicles of the target vehicle on the target transmission channel.
For example: in the application scenario diagram described in the foregoing fig. 2, in the target transmission channel, the vehicle 1 first collects M kinds of traffic information, and then transmits the traffic information to the vehicle 2, the vehicle 2 transmits the received traffic information to the traffic 3, the vehicle 3 transmits the received traffic information to the traffic 4, the vehicle 4 transmits the received traffic information to the traffic 5, the vehicle 5 transmits the traffic information to the vehicle 6, and the traffic information of the vehicle 6 is the traffic information output by the target transmission channel, so that the corresponding target resource amount is M _ 0M _1+ M _ 1M _2+ M _ 2M _3_ M _3 + M _ 4M _5+ M _ 5M _6 unit resource amounts.
In other embodiments, it should be understood that the aforementioned M kinds of road condition information may include a road condition, a weather condition, and a vehicle condition of the target vehicle, and in practical applications, other conditions may be included besides the aforementioned road condition, weather condition, and vehicle condition, which will not be limited in this embodiment. In addition, the resources corresponding to the target resource amount may also include, but are not limited to, an energy consumption situation, a bandwidth situation, a computing resource situation, and the like, and will not be limited in this embodiment of the application.
In the embodiment of the application, by acquiring M types of traffic information in the target transmission channel, the transmission resource determining device can determine the traffic information state sequences corresponding to the N target vehicles based on the M types of traffic information, and determine the target resource amount based on the traffic information state sequences corresponding to the N target vehicles. That is to say, in this embodiment, the traffic information state sequences corresponding to the N target vehicles respectively are determined through the M traffic information, and the resource differences transmitted between the N different target vehicles by the M traffic information are comprehensively considered, so that the target resource amount is calculated based on the traffic information state sequences corresponding to the N target vehicles respectively, and the obtained target resource amount is more suitable for the actually required resource amount.
The scheme provided by the embodiment of the application is mainly introduced from the perspective of a method. It is to be understood that the hardware structure and/or software modules for performing the respective functions are included to realize the above functions. Those of skill in the art will readily appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends 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 present application.
In the embodiment of the present application, functional modules of the apparatus may be divided according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.
Referring to fig. 6, in describing the transmission resource determining apparatus 60 in the embodiment of the present application in detail, fig. 6 is a schematic diagram of an embodiment of the transmission resource determining apparatus 60 provided in the embodiment of the present application, where the transmission resource determining apparatus 60 may include:
An obtaining unit 601, configured to obtain at least M kinds of road condition information in a target transmission channel, where M is greater than 0, and M is an integer;
A first determining unit 602, configured to determine, according to the M types of traffic information, traffic information state sequences corresponding to N target vehicles on the target transmission channel, where N is greater than 2, and N is an integer;
A second determining unit 603, configured to determine the target resource amount based on the N road condition information state sequences corresponding to the target vehicles.
Optionally, on the basis of the embodiment corresponding to fig. 6, in another embodiment of the transmission resource determining apparatus 60 provided in this embodiment of the present application, the first determining unit 602 may include:
The first determining module is used for determining a first road condition information state sequence corresponding to a target vehicle k according to the M kinds of road condition information, wherein k is more than 0 and less than or equal to N, and k is an integer;
The first determining module is configured to determine, according to a preset transmission relationship in the target transmission channel, a second road condition information state sequence corresponding to the target vehicle k +1 according to the first road condition information state sequence, where the preset transmission relationship is a relationship between transmission from the target vehicle k to the target vehicle k +1 in sequence.
Optionally, on the basis of the optional embodiment corresponding to fig. 6, in another embodiment of the transmission resource determining apparatus 60 provided in this embodiment of the present application, the obtaining unit 601 is further configured to obtain a first preset transmission matrix before determining, according to a preset transmission relationship in the target transmission channel, a second road condition information state sequence corresponding to a target vehicle k +1 according to the first road condition information state sequence, where the first preset transmission matrix is a transmission matrix for transmitting the at least M kinds of road condition information from the target vehicle k to the target vehicle k + 1;
Correspondingly, the first determining module includes:
And the first determining submodule is used for determining a second road condition information state sequence corresponding to the target vehicle k +1 according to the first preset transmission matrix and the first road condition information state sequence.
Optionally, on the basis of the optional embodiment of fig. 6, in another embodiment of the transmission resource determining apparatus 60 provided in this embodiment of the present application, the second determining unit 603 includes:
A second determining module, configured to determine first sequence information in the first road condition information state sequence and second sequence information in the second road condition information state sequence, where the first sequence information indicates a number of road condition information in the target vehicle k, and the second sequence information indicates a number of road condition information in the target vehicle k + 1;
The second determining module is configured to determine a first resource amount according to the first sequence information and the second sequence information, where the first resource amount is a unit resource amount required for transmission from the target vehicle k to the target vehicle k + 1;
The second determining module is configured to determine the target resource amount according to the first resource amount.
Optionally, on the basis of the optional embodiments of fig. 6 and fig. 6, in another embodiment of the transmission resource determining device 60 provided in this embodiment of the present application, the road condition information includes a road condition, a weather condition, or a vehicle condition of the target vehicle, and the resource corresponding to the target resource amount includes an energy consumption condition, a bandwidth condition, or a calculation resource condition.
The transmission resource determining apparatus 60 in the embodiment of the present application is described above from the perspective of a modular functional entity, and the computer device in the embodiment of the present application is described below from the perspective of hardware processing. Fig. 7 is a schematic structural diagram of a computer device according to an embodiment of the present application, where the computer device may include the transmission resource determining apparatus 60 described above, and the computer device may generate a relatively large difference due to different configurations or performances, and the computer device may include at least one processor 701, a communication line 707, a memory 703, and at least one communication interface 704.
The processor 701 may be a general processing unit (CPU), a microprocessor, an application-specific integrated circuit (server IC), or one or more ICs for controlling the execution of programs in accordance with the present invention.
The communication link 707 may include a path that conveys information between the aforementioned components.
the communication interface 704 may be any device, such as a transceiver, for communicating with other devices or communication networks, such as AN ethernet, a Radio Access Network (RAN), a wireless local area network (wlan), etc.
The memory 703 may be a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, which may be separate and coupled to the processor via a communication line 707. The memory may also be integral to the processor.
The memory 703 is used for storing computer-executable instructions for executing the present invention, and is controlled by the processor 701 to execute. The processor 701 is configured to execute computer-executable instructions stored in the memory 703, so as to implement the method for determining transmission resources provided by the above-mentioned embodiments of the present application.
Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.
In particular implementations, the computer device may include multiple processors, such as processor 701 and processor 702 in fig. 7, for example, as an embodiment. Each of these processors may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
In particular implementations, the computer device may also include an output device 705 and an input device 706, as one embodiment. An output device 705 is in communication with the processor 701 and may display information in a variety of ways. The input device 706 is in communication with the processor 701 and may receive user input in a variety of ways. For example, the input device 706 may be a mouse, a touch screen device, or a sensing device, among others.
The computer apparatus described above may be a general-purpose device or a special-purpose device. In particular implementations, the computer device may be a desktop, laptop, nas server, wireless end device, embedded device, or device having a similar structure as in fig. 7. The embodiment of the application does not limit the type of the computer equipment.
In the embodiment of the present application, the processor 701 included in the computer device further has the following functions:
Acquiring M kinds of road condition information in a target transmission channel, wherein M is greater than 0 and is an integer;
Determining road condition information state sequences respectively corresponding to N target vehicles on the target transmission channel based on the M kinds of road condition information, wherein N is more than 2 and is an integer;
And determining the target resource quantity based on the road condition information state sequence corresponding to the N target vehicles.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the unit is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of 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 achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application 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 integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing 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 according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A method for determining transmission resources, comprising:
Acquiring M kinds of road condition information in a target transmission channel, wherein M is greater than 0 and is an integer;
Determining road condition information state sequences respectively corresponding to N target vehicles on the target transmission channel based on the M kinds of road condition information, wherein N is more than 2 and is an integer;
And determining the target resource quantity based on the road condition information state sequence corresponding to the N target vehicles.
2. The method according to claim 1, wherein the determining the traffic information state sequences corresponding to the N target vehicles on the target transmission channel based on the M traffic information comprises:
Determining a first road condition information state sequence corresponding to a target vehicle k based on the M kinds of road condition information, wherein k is more than 0 and less than or equal to N, and k is an integer;
And according to a preset transmission relation in the target transmission channel, determining a second road condition information state sequence corresponding to the target vehicle k +1 according to the first road condition information state sequence, wherein the preset transmission relation is a relation between the target vehicle k and the target vehicle k +1 in sequence.
3. The method according to claim 2, wherein before determining a second road condition information state sequence corresponding to a target vehicle k +1 from the first road condition information state sequence according to a preset transmission relationship in the target transmission channel, the method further comprises:
Acquiring a first preset transmission matrix, wherein the first preset transmission matrix is a transmission matrix for transmitting the at least M kinds of road condition information from the target vehicle k to the target vehicle k + 1;
Correspondingly, determining a second road condition information state sequence corresponding to the target vehicle k +1 according to the first road condition information state sequence comprises the following steps:
And determining a second road condition information state sequence corresponding to the target vehicle k +1 based on the first preset transmission matrix and the first road condition information state sequence.
4. The method according to any one of claims 2 to 3, wherein the determining the target resource amount based on the traffic information state sequence corresponding to the N target vehicles comprises:
Determining first sequence information in the first road condition information state sequence and second sequence information in the second road condition information state sequence, wherein the first sequence information represents the road condition information number in the target vehicle k, and the second sequence information represents the road condition information number in the target vehicle k + 1;
Determining a first resource amount, which is a unit resource amount required for transmission from the target vehicle k to the target vehicle k +1, based on the first sequence information and the second sequence information;
Determining the target amount of resources based on the first amount of resources.
5. The method according to any one of claims 1 to 3, wherein the traffic information includes a road condition, a weather condition or a vehicle condition of the target vehicle, and the resource corresponding to the target resource amount includes an energy consumption condition, a bandwidth condition or a computational resource condition.
6. The method according to claim 4, wherein the traffic information includes a road condition, a weather condition or a vehicle condition of the target vehicle, and the resource corresponding to the target resource amount includes an energy consumption condition, a bandwidth condition or a computational resource condition.
7. A transmission resource determination apparatus, comprising:
The system comprises an acquisition unit, a transmission unit and a processing unit, wherein the acquisition unit is used for acquiring at least M kinds of road condition information in a target transmission channel, M is more than 0, and M is an integer;
A first determining unit, configured to determine, according to the M types of traffic information, traffic information state sequences corresponding to N target vehicles on the target transmission channel, where N is greater than 2, and N is an integer;
And the second determining unit is used for determining the target resource quantity based on the road condition information state sequences corresponding to the N target vehicles.
8. The transmission resource determination apparatus according to claim 7, wherein the first determination unit comprises:
The first determining module is used for determining a first road condition information state sequence corresponding to a target vehicle k according to the M kinds of road condition information, wherein k is more than 0 and less than or equal to N, and k is an integer;
The first determining module is configured to determine, according to a preset transmission relationship in the target transmission channel, a second road condition information state sequence corresponding to the target vehicle k +1 according to the first road condition information state sequence, where the preset transmission relationship is a relationship between transmission from the target vehicle k to the target vehicle k +1 in sequence.
9. A computer device, characterized in that the computer device comprises: an input/output (I/O) interface, a processor and a memory,
The memory has stored therein program instructions;
The processor is configured to execute program instructions stored in the memory to perform the method of any of claims 1-6.
10. A computer-readable storage medium comprising instructions that, when executed on a computer device, cause the computer device to perform the method of one of claims 1-6.
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