CN112398932A - Method, device and equipment for acquiring road condition information and computer readable storage medium - Google Patents
Method, device and equipment for acquiring road condition information and computer readable storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—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
Abstract
The embodiment of the application provides a method, a device, equipment and a computer readable storage medium for acquiring road condition information, wherein the method comprises the following steps: acquiring a first type number of road condition information of each vehicle in at least two vehicles, a historical failure rate of vehicle-mounted equipment of each vehicle, a second type number and the number of second vehicles; determining expected values of all vehicles according to the first type number, the historical fault rate and the second type number; and adjusting the running state of the first vehicle according to the expected value and the number of the second vehicles so that the first vehicle can acquire the road condition information sent by the Internet of vehicles cloud platform through the adjusted running state. According to the method, the quantity of the road condition information which can be sent by the Internet of vehicles cloud platform in the preset first time is limited, and the vehicle-mounted equipment of the first vehicle adjusts the running state of the first vehicle according to the expected value obtained through calculation and the quantity of the second vehicles running in front of the first vehicle, so that the road condition information sent by the Internet of vehicles cloud platform is obtained.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a computer-readable storage medium for acquiring traffic information.
Background
In the prior art, an Intelligent Vehicle-road coordination system (IVICS) is called a Vehicle-road coordination system for short, and is a development direction of an Intelligent traffic system. The vehicle networking cloud platform can provide road condition information for vehicles in the vehicle-road coordination system, and the traffic of the vehicle networking cloud platform for sending the road condition information is limited in a preset period of time, so that the vehicle networking cloud platform can only send a certain amount of road condition information in the preset period of time.
In a preset period of time, vehicles passing through a road section monitored by the Internet of vehicles cloud platform can acquire road condition information from the Internet of vehicles cloud platform; because the internet of vehicles cloud platform can only send a certain amount of road condition information within a predetermined period of time, vehicles passing through the road section monitored by the internet of vehicles cloud platform may not be able to acquire the road condition information from the internet of vehicles cloud platform. Therefore, under the condition that the quantity of the road condition information which can be sent by the internet of vehicles cloud platform is limited within a preset period of time, how the vehicle obtains the road condition information sent by the internet of vehicles cloud platform is a problem to be solved.
Disclosure of Invention
The application provides a method, a device, an electronic device and a computer-readable storage medium for acquiring road condition information aiming at the defects of the existing mode, and is used for solving the problem of how to acquire the road condition information sent by the Internet of vehicles cloud platform under the condition that the quantity of the road condition information which can be sent by the Internet of vehicles cloud platform is limited.
In a first aspect, the present application provides a method for acquiring traffic information, which is applied to a vehicle-mounted device, and includes:
acquiring a first type number of road condition information of each vehicle in at least two vehicles, a historical failure rate of vehicle-mounted equipment of each vehicle, a second type number and the number of second vehicles; the at least two vehicles are vehicles of a road section monitored by the Internet of vehicles cloud platform within a preset first time, the at least two vehicles comprise a first vehicle and a second vehicle, and the second vehicle runs before the first vehicle; the first type number is the type number of the road condition information which is estimated to be obtained by the vehicle-mounted equipment of each vehicle through the Internet of vehicles cloud platform; the second type number is the type number of the road condition information which can be provided by the Internet of vehicles cloud platform in the preset first time;
determining expected values of all vehicles according to the first type number, the historical fault rate and the second type number;
and adjusting the running state of the first vehicle according to the expected value and the number of the second vehicles so as to enable the first vehicle to obtain the road condition information sent by the Internet of vehicles cloud platform through the adjusted running state.
Optionally, the obtaining a first type number of the traffic information of each of the at least two vehicles includes:
the method comprises the steps of obtaining a first type number of road condition information of each vehicle through an Internet of vehicles cloud platform or vehicle-mounted equipment of each vehicle, wherein the type of the road condition information comprises at least one of temperature and humidity of a road section, visibility of the road section, road surface conditions of the road section, traffic jam conditions of the road section and traffic accident conditions of the road section.
Optionally, determining the expected value of each vehicle according to the first category number, the historical failure rate and the second category number includes:
calculating to obtain a third class number based on the second class number and the first class number; the first type number is based on that the historical failure rate of the vehicle-mounted equipment of each vehicle is zero, and the vehicle-mounted equipment of each vehicle predicts the type number of the road condition information acquired through the Internet of vehicles cloud platform; the third type number is the type number of the road condition information obtained by detecting the road section by the vehicle-mounted equipment of each vehicle based on the fact that the historical failure rate of the vehicle-mounted equipment of each vehicle is zero;
determining expected values of all vehicles according to the second type number, the third type number and the historical failure rate; the historical failure rate is the proportion of the time of failure of the vehicle-mounted equipment of each vehicle in the preset second time; the expected value is based on that the historical failure rate of the vehicle-mounted equipment of each vehicle is not zero, and the types and the quantity of the road condition information which is obtained by each vehicle through the internet of vehicles cloud platform are estimated.
Optionally, before adjusting the driving state of the first vehicle according to the expected value and the number of the second vehicles, the method further includes:
determining the quantity of the road condition information which can be provided by the Internet of vehicles cloud platform in a preset first time according to the second type number;
calculating to obtain a first numerical value based on the quantity of the road condition information and the expected value of the first vehicle;
adjusting the driving state of the first vehicle in accordance with the desired value and the number of second vehicles, comprising:
and adjusting the running state of the first vehicle according to the expected value, the number of the second vehicles and the first value.
Optionally, adjusting the driving state of the first vehicle according to the desired value and the number of the second vehicles comprises:
arranging the expected values of all vehicles except the expected value of the first vehicle in a descending order, and determining N expected values which are sequenced at the top, wherein the sum of the N expected values which are sequenced at the top is not more than the first numerical value, and N is a positive integer;
arranging the expected values of all vehicles except the expected value of the first vehicle in a descending order, and determining M expected values which are sequenced at the top, wherein the sum of the M expected values which are sequenced at the top is not more than a first numerical value, and M is a positive integer;
the driving state of the first vehicle is adjusted according to N, M and the number of the second vehicles.
Optionally, adjusting the driving state of the first vehicle according to N, M and the number of second vehicles comprises:
when the number of the second vehicles is not more than N, adjusting the running state of the first vehicle to be a first state, wherein the first state comprises that the first vehicle does not overtake the second vehicles;
when the number of the second vehicles is larger than M, adjusting the running state of the first vehicle to be a second state, wherein the first state comprises that the first vehicle overtakes at least one second vehicle;
and when the number of the second vehicles is larger than N and not larger than M, obtaining a random number according to N, M and the number of the second vehicles, and adjusting the running state of the first vehicle according to the random number.
Optionally, adjusting the driving state of the first vehicle according to the random number comprises:
obtaining a second value by subtracting the number of the second vehicles from the number of the M;
obtaining a third numerical value by subtracting M and N;
when the random number is not larger than the quotient between the second numerical value and the third numerical value, adjusting the running state of the first vehicle to be a first state;
and when the random number is larger than the quotient between the second numerical value and the third numerical value, adjusting the running state of the first vehicle to be a second state.
In a second aspect, the present application provides a device for acquiring traffic information, which is applied to a vehicle-mounted device, and includes:
the first processing module is used for acquiring a first type number of road condition information of each vehicle in at least two vehicles, a historical failure rate of vehicle-mounted equipment of each vehicle, a second type number and the number of second vehicles; the at least two vehicles are vehicles of a road section monitored by the Internet of vehicles cloud platform within a preset first time, the at least two vehicles comprise a first vehicle and a second vehicle, and the second vehicle runs before the first vehicle; the first type number is the type number of the road condition information which is estimated to be obtained by the vehicle-mounted equipment of each vehicle through the Internet of vehicles cloud platform; the second type number is the type number of the road condition information which can be provided by the Internet of vehicles cloud platform in the preset first time;
the second processing module is used for determining expected values of all vehicles according to the first type number, the historical fault rate and the second type number;
and the third processing module is used for adjusting the running state of the first vehicle according to the expected value and the number of the second vehicles, so that the first vehicle can acquire the road condition information sent by the Internet of vehicles cloud platform through the adjusted running state.
Optionally, the first processing module is specifically configured to obtain, through the internet of vehicles cloud platform or the vehicle-mounted device of each vehicle, a first type number of the road condition information of each vehicle, where the type of the road condition information includes at least one of a temperature and a humidity of a road section, a visibility of the road section, a road surface condition of the road section, a traffic congestion condition of the road section, and a traffic accident condition of the road section.
Optionally, the second processing module is specifically configured to calculate a third class number based on the second class number and the first class number; the first type number is based on that the historical failure rate of the vehicle-mounted equipment of each vehicle is zero, and the vehicle-mounted equipment of each vehicle predicts the type number of the road condition information acquired through the Internet of vehicles cloud platform; the third type number is the type number of the road condition information obtained by detecting the road section by the vehicle-mounted equipment of each vehicle based on the fact that the historical failure rate of the vehicle-mounted equipment of each vehicle is zero; determining expected values of all vehicles according to the second type number, the third type number and the historical failure rate; the historical failure rate is the proportion of the time of failure of the vehicle-mounted equipment of each vehicle in the preset second time; the expected value is based on that the historical failure rate of the vehicle-mounted equipment of each vehicle is not zero, and the types and the quantity of the road condition information which is obtained by each vehicle through the internet of vehicles cloud platform are estimated.
Optionally, the second processing module is further configured to determine, according to the second type number, the number of the road condition information that can be provided by the internet-of-vehicles cloud platform in a preset first time; calculating to obtain a first numerical value based on the quantity of the road condition information and the expected value of the first vehicle; and the third processing module is specifically used for adjusting the running state of the first vehicle according to the expected value, the number of the second vehicles and the first numerical value.
Optionally, the third processing module is specifically configured to arrange the expected values of the vehicles except the expected value of the first vehicle in descending order, determine N expected values sorted at the top, where the sum of the N expected values sorted at the top is not greater than the first numerical value, and N is a positive integer; arranging the expected values of all vehicles except the expected value of the first vehicle in a descending order, and determining M expected values which are sequenced at the top, wherein the sum of the M expected values which are sequenced at the top is not more than a first numerical value, and M is a positive integer; the driving state of the first vehicle is adjusted according to N, M and the number of the second vehicles.
Optionally, the third processing module is specifically configured to, when the number of the second vehicles is not greater than N, adjust the driving state of the first vehicle to a first state, where the first state includes that the first vehicle does not overtake the second vehicle; when the number of the second vehicles is larger than M, adjusting the running state of the first vehicle to be a second state, wherein the first state comprises that the first vehicle overtakes at least one second vehicle; and when the number of the second vehicles is larger than N and not larger than M, obtaining a random number according to N, M and the number of the second vehicles, and adjusting the running state of the first vehicle according to the random number.
Optionally, the third processing module is specifically configured to obtain a second value by subtracting the number of the second vehicles from M; obtaining a third numerical value by subtracting M and N; when the random number is not larger than the quotient between the second numerical value and the third numerical value, adjusting the running state of the first vehicle to be a first state; and when the random number is larger than the quotient between the second numerical value and the third numerical value, adjusting the running state of the first vehicle to be a second state.
In a third aspect, the present application provides an electronic device, comprising: a processor, a memory, and a bus;
a bus for connecting the processor and the memory;
a memory for storing operating instructions;
the processor is configured to execute the method for acquiring the traffic information according to the first aspect of the present application by calling the operation instruction.
In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, where the computer program is used to execute the method for acquiring traffic information of the first aspect of the present application.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects:
because the number of the road condition information which can be sent by the Internet of vehicles cloud platform in the preset first time is limited, the vehicle-mounted equipment of the first vehicle determines the expected value of each vehicle according to the number of the road condition information types which is predicted by the vehicle-mounted equipment of each vehicle and is obtained through the Internet of vehicles cloud platform, the number of the road condition information types which can be provided by the Internet of vehicles cloud platform in the preset first time, and the historical failure rate of the vehicle-mounted equipment of each vehicle; the vehicle-mounted equipment of the first vehicle adjusts the running state of the first vehicle according to the expected value and the number of the second vehicles running before the first vehicle, so that the first vehicle obtains the road condition information sent by the Internet of vehicles cloud platform, and meanwhile, the safety of road driving is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.
Fig. 1 is a schematic diagram of a system architecture provided in an embodiment of the present application;
fig. 2 is a schematic flow chart of a method for acquiring traffic information according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of acquiring traffic information according to an embodiment of the present application;
fig. 4 is a schematic diagram of an application scenario provided in an embodiment of the present application;
fig. 5 is a schematic structural diagram of a device for acquiring traffic information according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, features and advantages of the present invention more apparent and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments of the present application. 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.
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, 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. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
The Internet of Things (The Internet of Things, IOT for short) is to collect any object or process needing monitoring, connection and interaction in real time and collect various required information such as sound, light, heat, electricity, mechanics, chemistry, biology and location through various devices and technologies such as various information sensors, radio frequency identification technologies, global positioning systems, infrared sensors and laser scanners, and to realize ubiquitous connection of objects and people through various possible network accesses, so as to realize intelligent sensing, identification and management of objects and processes. The internet of things is an information bearer based on the internet, a traditional telecommunication network and the like, and all common physical objects which can be independently addressed form an interconnected network.
The Cloud IOT aims to connect information sensed by sensing equipment in the traditional Internet of things and received instructions into the Internet, really realizes networking, and realizes mass data storage and operation through a Cloud computing technology.
For better understanding and description of the embodiments of the present application, some technical terms used in the embodiments of the present application will be briefly described below.
Networking of vehicles: the internet of vehicles is a large system network which is based on an in-vehicle network, an inter-vehicle network and a vehicle-mounted mobile internet and performs wireless communication and information exchange between vehicles-X (X represents vehicles, roads, pedestrians, the internet and the like) according to an agreed communication protocol and a data interaction standard, is an integrated network capable of realizing intelligent traffic management, intelligent dynamic information service and intelligent vehicle control, and is a typical application of the internet of things technology in the field of traffic systems.
The car networking cloud platform: the vehicle networking cloud platform is a vehicle operation information platform based on a cloud architecture of the vehicle networking.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a system architecture provided in an embodiment of the present application, where the system architecture includes: vehicle 110, internet of vehicles cloud platform 120, vehicle 130, infrastructure 140, and terminal 150. Vehicle-to-cloud communication is performed between vehicle 110 and internet of vehicles cloud platform 120, vehicle-to-vehicle communication is performed between vehicle 110 and vehicle 130, vehicle-to-road communication is performed between vehicle 110 and infrastructure 140, and vehicle-to-person communication is performed between vehicle 110 and terminal 150.
The embodiment of the application provides a method for acquiring road condition information, which is applied to a vehicle-mounted device of a first vehicle, and the flow schematic diagram of the method is shown in fig. 2, and the method comprises the following steps:
s101, acquiring a first type number of road condition information of each vehicle in at least two vehicles, a historical failure rate of vehicle-mounted equipment of each vehicle, a second type number and the number of second vehicles; the at least two vehicles are vehicles of a road section monitored by the Internet of vehicles cloud platform within a preset first time, the at least two vehicles comprise a first vehicle and a second vehicle, and the second vehicle runs before the first vehicle; the first type number is the type number of the road condition information which is estimated to be obtained by the vehicle-mounted equipment of each vehicle through the Internet of vehicles cloud platform; the second type number is the type quantity of road condition information that car networking cloud platform can provide in predetermineeing the first time.
Optionally, the vehicle-mounted device of each of the at least two vehicles comprises a vehicle-mounted computer and a sensing device, wherein the sensing device comprises a sensor.
Alternatively, as shown in fig. 3, the at least two vehicles include a first vehicle 201, a plurality of second vehicles 202 traveling before the first vehicle 201, and a plurality of third vehicles 203 traveling after the first vehicle 201. The road section monitored by the internet of vehicles cloud platform 204 is a road section 205, the road sections currently traveled by the first vehicle 201, the plurality of second vehicles 202 and the plurality of third vehicles 203 are road sections 206, and the exit intersection of the road sections 206 is the entrance intersection of the road section 205. After exiting from the exit intersection of the road segment 206, the first vehicle 201, the second vehicle 202, and the third vehicle 203 pass through the road segment 205 monitored by the internet of vehicles cloud platform 204. The vehicle-mounted computer of the first vehicle 201 obtains the number n of at least two vehicles in real time from the road monitoring platform at the intersection of the road section 206, wherein n is a positive integer.
For example, the first vehicle 201 may pass through the road monitoring platform at the entrance intersection and the road monitoring platform at the exit intersection of the road segment 206, and may monitor the number of vehicles entering from the entrance intersection of the road segment 206 and the number of vehicles exiting from the exit intersection of the road segment 206 in real time, and the number of vehicles exiting from the exit intersection of the road segment 206 and the number of vehicles entering from the entrance intersection of the road segment 206 are differentiated to obtain the number n of the first vehicle 201, the plurality of second vehicles 202, and the plurality of third vehicles 203 currently driving on the road segment 206. The exit intersection of the road segment 206 is the entrance intersection of the road segment 205, the number of vehicles entering the road segment 205 is n, that is, the number of at least two vehicles is n, and the first type number of the road condition information of each vehicle in the n vehicles is r1、r2……rn，r1、r2……rnAre all positive integers.
Optionally, the step S101 of "obtaining the first type number of the traffic information of each of the at least two vehicles" includes:
the method comprises the steps of obtaining a first type number of road condition information of each vehicle through an Internet of vehicles cloud platform or vehicle-mounted equipment of each vehicle, wherein the type of the road condition information comprises at least one of temperature and humidity of a road section, visibility of the road section, road surface conditions of the road section, traffic jam conditions of the road section and traffic accident conditions of the road section.
Optionally, the at least two vehicles include a first vehicle, a plurality of second vehicles traveling before the first vehicle, and a plurality of third vehicles traveling after the first vehicle; the method comprises the steps that a first Vehicle, a plurality of second vehicles and a plurality of third vehicles are communicated through a V2V (Vehicle-to-Vehicle communication) protocol, and the first Vehicle acquires a first type number of road condition information sent by Vehicle-mounted equipment of each of the plurality of second vehicles and the plurality of third vehicles; the multiple second vehicles and the multiple third vehicles report the first types of the respective road condition information to the internet of vehicles cloud platform, and the first vehicle can acquire the first types of the road condition information of the multiple second vehicles and the multiple third vehicles through the internet of vehicles cloud platform.
Optionally, when a piece of traffic information sent by the internet of vehicles cloud platform includes a second number of pieces of traffic information, the piece of traffic information is complete traffic information, wherein one piece of traffic information is one frame of traffic information; one piece of traffic information may include multiple pieces of traffic information, i.e., multiple frames of traffic information. For example, a piece of road condition information issued by the internet of vehicles cloud platform includes temperature and humidity of a road section, visibility of the road section, road surface conditions of the road section, traffic congestion conditions of the road section, and traffic accident conditions of the road section, and then the piece of road condition information includes five pieces of road condition information, that is, five frames of road condition information.
Optionally, the second number is r, and r is a positive integer. Because the traffic of the internet of vehicles cloud platform for sending the traffic information is limited, the internet of vehicles cloud platform can only send a certain amount of traffic information within a preset first time, for example, the internet of vehicles cloud platform can only send m pieces of traffic information within the preset first time, and each piece of traffic information in the m pieces of traffic information includes r pieces of traffic information, that is, r frames of traffic information; the vehicle networking cloud platform can send the m x r frame traffic information in total within a preset first time.
For example, the number of the at least two vehicles is 1000, and each of the 1000 vehicles can receive one piece of road condition information; due to the limitation of bandwidth transmission of the internet of vehicles cloud platform, the traffic of the internet of vehicles cloud platform for sending the traffic information is limited, so that the internet of vehicles cloud platform can only send 300 pieces of traffic information in the first preset time, that is, the internet of vehicles cloud platform can only provide traffic information for 300 vehicles driving ahead in the 1000 vehicles. After the internet of vehicles cloud platform provides the road condition information for the 300 vehicles driving ahead within the preset first time, the internet of vehicles cloud platform stops sending the road condition information within the preset first time.
And S102, determining expected values of the vehicles according to the first type number, the historical failure rate and the second type number.
Optionally, the historical failure rate is a proportion of the time of failure of the vehicle-mounted equipment of each vehicle to the predetermined second time; the expected value is based on that the historical failure rate of the vehicle-mounted equipment of each vehicle is not zero, and the types and the quantity of the road condition information which is obtained by each vehicle through the internet of vehicles cloud platform are estimated.
Optionally, when the historical failure rate of the vehicle-mounted device of each of the at least two vehicles is zero, the number of the at least two vehicles is n, and the first types of the road condition information of each of the n vehicles are r1、r2……rn。
Optionally, n vehicles communicate with each other through the V2V protocol, and each of the n vehicles may obtain the historical failure rate of the on-board device of each vehicle, where the historical failure rate of the on-board device of each vehicle is p1、p2……pnWherein p is1、p2……pnAre all positive real numbers less than 1. For example, p1、p2……pnThe predetermined second time is 365 days which is a proportion of the time in which the on-board device of each vehicle failed in the predetermined second time to the predetermined second time.
Optionally, determining the expected value of each vehicle according to the first category number, the historical failure rate and the second category number includes:
calculating to obtain a third class number based on the second class number and the first class number; the first type number is based on that the historical failure rate of the vehicle-mounted equipment of each vehicle is zero, and the vehicle-mounted equipment of each vehicle predicts the type number of the road condition information acquired through the Internet of vehicles cloud platform; the third type number is the type number of the road condition information obtained by detecting the road section by the vehicle-mounted equipment of each vehicle based on the fact that the historical failure rate of the vehicle-mounted equipment of each vehicle is zero;
and determining the expected value of each vehicle according to the second category number, the third category number and the historical failure rate.
Alternatively, the calculation formula (1) of the expected value of each vehicle is as follows:
ei＝r-(1-pi)(r-ri) (1)
wherein e isiIs the desired value, p, of vehicle iiIs the historical failure rate of the on-board equipment of the vehicle i, r is the second kind of number, riThe value range of i is 1,2, … …, n-1, n, which is the first type number of the traffic information of the vehicle i.
The third category number r-r is zero based on the historical failure rate of the sensing equipment included in the vehicle-mounted equipment of each vehicleiThe number of types of road condition information obtained by detecting a road section by sensing equipment included in the vehicle-mounted equipment of each vehicle.
S103, adjusting the running state of the first vehicle according to the expected value and the number of the second vehicles, so that the first vehicle can obtain the road condition information sent by the Internet of vehicles cloud platform through the adjusted running state.
Optionally, the expected value of each of the at least two vehicles is e1、e2……enWherein e is1、e2……enIncluding the desired value e of the first vehicleh。
Optionally, before adjusting the driving state of the first vehicle according to the expected value and the number of the second vehicles, the method further includes:
determining the quantity of the road condition information which can be provided by the Internet of vehicles cloud platform in a preset first time according to the second type number;
calculating to obtain a first numerical value based on the quantity of the road condition information and the expected value of the first vehicle;
adjusting the driving state of the first vehicle in accordance with the desired value and the number of second vehicles, comprising:
and adjusting the running state of the first vehicle according to the expected value, the number of the second vehicles and the first value.
Optionally, determining the number m × r of the road condition information that can be provided by the internet of vehicles cloud platform in a preset first time according to the second type number r; based on the number m × r of the traffic information and the expected value e of the first vehiclehMixing m × r with ehDifference is obtained to obtain the first value mxr-eh。
Optionally, adjusting the driving state of the first vehicle according to the desired value and the number of the second vehicles comprises:
arranging the expected values of all vehicles except the expected value of the first vehicle in a descending order, and determining N expected values which are sequenced at the top, wherein the sum of the N expected values which are sequenced at the top is not more than the first numerical value, and N is a positive integer;
arranging the expected values of all vehicles except the expected value of the first vehicle in a descending order, and determining M expected values which are sequenced at the top, wherein the sum of the M expected values which are sequenced at the top is not more than a first numerical value, and M is a positive integer;
the driving state of the first vehicle is adjusted according to N, M and the number of the second vehicles.
Optionally, mixing e1、e2……enRemoving ehAll the expected values except the expected values are arranged in a descending order, and N expected values which are respectively e and are ranked at the top are determinedmin1、emin2……eminN(ii) a Sum e between these N expected valuesmin1+emin2+…+eminN≤m×r-eh。
Optionally, mixing e1、e2……enRemoving ehAll the expected values except the expected values are arranged in the order from small to large, and M expected values which are respectively e and are ranked at the top are determinedmax1、emax2……emaxM(ii) a Sum e between the M expected valuesmax1+emax2+…+emaxM≤m×r-eh。
Optionally, adjusting the driving state of the first vehicle according to N, M and the number of second vehicles comprises:
when the number of the second vehicles is not more than N, adjusting the running state of the first vehicle to be a first state, wherein the first state comprises that the first vehicle does not overtake the second vehicles;
when the number of the second vehicles is larger than M, adjusting the running state of the first vehicle to be a second state, wherein the first state comprises that the first vehicle overtakes at least one second vehicle;
and when the number of the second vehicles is larger than N and not larger than M, obtaining a random number according to N, M and the number of the second vehicles, and adjusting the running state of the first vehicle according to the random number.
Optionally, the first vehicle obtains the number of second vehicles through vehicle-mounted devices of the first vehicle or roadside devices on both sides of the road segment 206, where the number of second vehicles is K, and K is a positive integer. When the number K of the second vehicles is less than or equal to N, the running state of the first vehicle is adjusted to be a first state, the first vehicle does not need to reduce the number of the second vehicles running before the first vehicle by overtaking, and the first vehicle acquires road condition information sent by the Internet of vehicles cloud platform through the first state; when the number K of the second vehicles is larger than M, the running state of the first vehicle is adjusted to be a second state, the first vehicle reduces the number of the second vehicles running before the first vehicle by overtaking, and the first vehicle acquires road condition information sent by the Internet of vehicles cloud platform through the second state; and when N is less than or equal to M, obtaining a random number S which is subjected to 0-1 uniform distribution according to N, M and the number K of the second vehicles, and adjusting the driving state of the first vehicle according to the random number S.
Optionally, adjusting the driving state of the first vehicle according to the random number, comprising steps a1-a 4:
step A1: and obtaining a second value by subtracting the number of the second vehicles from the number of the M.
Optionally, M is subtracted from the number K of second vehicles to obtain a second value M-K.
Step A2: and obtaining a third numerical value by subtracting the M and the N.
Optionally, M is subtracted from N to obtain a third value M-N.
Step A3: and when the random number is not greater than the quotient between the second numerical value and the third numerical value, adjusting the running state of the first vehicle to be the first state.
Alternatively, when random number
The driving state of the first vehicle is adjusted to be the first state, the first vehicle does not need to reduce the number of second vehicles driving in front of the first vehicle through overtaking, and the first vehicle acquires the road condition information sent by the Internet of vehicles cloud platform through the first state.
Step A4: and when the random number is larger than the quotient between the second numerical value and the third numerical value, adjusting the running state of the first vehicle to be a second state.
Alternatively, when random number
And S is less than or equal to 1, the running state of the first vehicle is adjusted to be a second state, the first vehicle reduces the number of second vehicles running before the first vehicle by overtaking, and the first vehicle acquires road condition information sent by the Internet of vehicles cloud platform through the second state.
In the embodiment of the application, because the number of the road condition information which can be sent by the internet of vehicles cloud platform in the preset first time is limited, the vehicle-mounted device of the first vehicle determines the expected value of each vehicle according to the number of the road condition information types which is predicted by the vehicle-mounted device of each vehicle and is obtained through the internet of vehicles cloud platform, the number of the road condition information types which can be provided by the internet of vehicles cloud platform in the preset first time, and the historical failure rate of the vehicle-mounted device of each vehicle; the vehicle-mounted equipment of the first vehicle adjusts the running state of the first vehicle according to the expected value and the number of the second vehicles running before the first vehicle, so that the first vehicle obtains the road condition information sent by the Internet of vehicles cloud platform, and meanwhile, the safety of road driving is improved.
In order to better understand the method provided by the embodiment of the present application, the following further describes the scheme of the embodiment of the present application with reference to an example of a specific application scenario.
The method provided by the embodiment of the application is applied to a scene that a cloud platform of the internet of vehicles provides road condition information for vehicles, as shown in fig. 4. The method provided by the embodiment of the application can be released in the forms of a WeChat small program, a small scene of vehicle-mounted WeChat, a Tencent map, a mobile phone application program APP and the like.
The method provided by the embodiment of the application is used in a simulator. As shown in table 1, the simulator performs 10 times of experiments, wherein 100 times of statistics are performed in each experiment, so as to obtain the number of times that the first vehicle can obtain the traffic information from the internet of vehicles cloud platform in 100 times of statistics, that is, the simulator performs statistics to obtain the probability that the first vehicle obtains the traffic information from the internet of vehicles cloud platform. The simulator counts that the probability that the first vehicle acquires the road condition information from the internet of vehicles cloud platform is greater than the probability that the first vehicle acquires the road condition information from the internet of vehicles cloud platform in the prior art, so that the method provided by the embodiment of the application is superior to the scheme in the prior art.
TABLE 1 probability of obtaining traffic information
Based on the same inventive concept, the embodiment of the present application further provides a device for acquiring traffic information, which is applied to a vehicle-mounted device of a first vehicle, and a schematic structural diagram of the device is shown in fig. 5, and the device 30 for acquiring traffic information includes a first processing module 301, a second processing module 302, and a third processing module 303.
The first processing module 301 is configured to obtain a first type number of road condition information of each vehicle, a historical failure rate of on-board equipment of each vehicle, a second type number, and a number of second vehicles; the at least two vehicles are vehicles of a road section monitored by the Internet of vehicles cloud platform within a preset first time, the at least two vehicles comprise a first vehicle and a second vehicle, and the second vehicle runs before the first vehicle; the first type number is the type number of the road condition information which is estimated to be obtained by the vehicle-mounted equipment of each vehicle through the Internet of vehicles cloud platform; the second type number is the type number of the road condition information which can be provided by the Internet of vehicles cloud platform in the preset first time;
the second processing module 302 is used for determining expected values of all vehicles according to the first type number, the historical fault rate and the second type number;
the third processing module 303 is configured to adjust the driving state of the first vehicle according to the expected value and the number of the second vehicles, so that the first vehicle obtains the road condition information sent by the internet of vehicles cloud platform through the adjusted driving state.
Optionally, the first processing module 301 is specifically configured to obtain, through the internet of vehicles cloud platform or the vehicle-mounted device of each vehicle, a first type number of the road condition information of each vehicle, where the type of the road condition information includes at least one of a temperature and a humidity of a road section, a visibility of the road section, a road surface condition of the road section, a traffic congestion condition of the road section, and a traffic accident condition of the road section.
Optionally, the second processing module 302 is specifically configured to calculate a third class number based on the second class number and the first class number; the first type number is based on that the historical failure rate of the vehicle-mounted equipment of each vehicle is zero, and the vehicle-mounted equipment of each vehicle predicts the type number of the road condition information acquired through the Internet of vehicles cloud platform; the third type number is the type number of the road condition information obtained by detecting the road section by the vehicle-mounted equipment of each vehicle based on the fact that the historical failure rate of the vehicle-mounted equipment of each vehicle is zero; determining expected values of all vehicles according to the second type number, the third type number and the historical failure rate; the historical failure rate is the proportion of the time of failure of the vehicle-mounted equipment of each vehicle in the preset second time; the expected value is based on that the historical failure rate of the vehicle-mounted equipment of each vehicle is not zero, and the types and the quantity of the road condition information which is obtained by each vehicle through the internet of vehicles cloud platform are estimated.
Optionally, the second processing module 302 is further configured to determine, according to the second type number, the number of the road condition information that can be provided by the internet of vehicles cloud platform in a preset first time; calculating to obtain a first numerical value based on the quantity of the road condition information and the expected value of the first vehicle; and the third processing module is specifically used for adjusting the running state of the first vehicle according to the expected value, the number of the second vehicles and the first numerical value.
Optionally, the third processing module 303 is specifically configured to arrange the expected values of the vehicles except the expected value of the first vehicle in descending order, determine N expected values sorted before, where the sum of the N expected values sorted before is not greater than the first value, and N is a positive integer; arranging the expected values of all vehicles except the expected value of the first vehicle in a descending order, and determining M expected values which are sequenced at the top, wherein the sum of the M expected values which are sequenced at the top is not more than a first numerical value, and M is a positive integer; the driving state of the first vehicle is adjusted according to N, M and the number of the second vehicles.
Optionally, the third processing module 303 is specifically configured to, when the number of the second vehicles is not greater than N, adjust the running state of the first vehicle to a first state, where the first state includes that the first vehicle does not overtake the second vehicle; when the number of the second vehicles is larger than M, adjusting the running state of the first vehicle to be a second state, wherein the first state comprises that the first vehicle overtakes at least one second vehicle; and when the number of the second vehicles is larger than N and not larger than M, obtaining a random number according to N, M and the number of the second vehicles, and adjusting the running state of the first vehicle according to the random number.
Optionally, the third processing module 303 is specifically configured to obtain a second value by subtracting the number of M and the second vehicle; obtaining a third numerical value by subtracting M and N; when the random number is not larger than the quotient between the second numerical value and the third numerical value, adjusting the running state of the first vehicle to be a first state; and when the random number is larger than the quotient between the second numerical value and the third numerical value, adjusting the running state of the first vehicle to be a second state.
The application of the embodiment of the application has at least the following beneficial effects:
because the number of the road condition information which can be sent by the Internet of vehicles cloud platform in the preset first time is limited, the vehicle-mounted equipment of the first vehicle determines the expected value of each vehicle according to the number of the road condition information types which is predicted by the vehicle-mounted equipment of each vehicle and is obtained through the Internet of vehicles cloud platform, the number of the road condition information types which can be provided by the Internet of vehicles cloud platform in the preset first time, and the historical failure rate of the vehicle-mounted equipment of each vehicle; the vehicle-mounted equipment of the first vehicle adjusts the running state of the first vehicle according to the expected value and the number of the second vehicles running before the first vehicle, so that the first vehicle obtains the road condition information sent by the Internet of vehicles cloud platform, and meanwhile, the safety of road driving is improved.
Based on the same inventive concept, the embodiment of the present application further provides an electronic device, a schematic structural diagram of which is shown in fig. 6, where the electronic device 9000 includes at least one processor 9001, a memory 9002, and a bus 9003, and at least one processor 9001 is electrically connected to the memory 9002; the memory 9002 is configured to store at least one computer executable instruction, and the processor 9001 is configured to execute the at least one computer executable instruction so as to perform the steps of any method for acquiring traffic information as provided in any embodiment or any alternative embodiment of the present application.
Further, the processor 9001 may be an FPGA (Field-Programmable Gate Array) or other devices with logic processing capability, such as an MCU (micro controller Unit) and a CPU (Central processing Unit).
The application of the embodiment of the application has at least the following beneficial effects:
because the number of the road condition information which can be sent by the Internet of vehicles cloud platform in the preset first time is limited, the vehicle-mounted equipment of the first vehicle determines the expected value of each vehicle according to the number of the road condition information types which is predicted by the vehicle-mounted equipment of each vehicle and is obtained through the Internet of vehicles cloud platform, the number of the road condition information types which can be provided by the Internet of vehicles cloud platform in the preset first time, and the historical failure rate of the vehicle-mounted equipment of each vehicle; the vehicle-mounted equipment of the first vehicle adjusts the running state of the first vehicle according to the expected value and the number of the second vehicles running before the first vehicle, so that the first vehicle obtains the road condition information sent by the Internet of vehicles cloud platform, and meanwhile, the safety of road driving is improved.
Based on the same inventive concept, the embodiment of the present application further provides another computer-readable storage medium, which stores a computer program, and the computer program is used for implementing any step of acquiring traffic information provided in any embodiment or any optional implementation manner of the present application when the computer program is executed by a processor.
The computer-readable storage medium provided by the embodiments of the present application includes, but is not limited to, any type of disk including floppy disks, hard disks, optical disks, CD-ROMs, and magneto-optical disks, ROMs (Read-Only memories), RAMs (Random Access memories), EPROMs (Erasable Programmable Read-Only memories), EEPROMs (Electrically Erasable Programmable Read-Only memories), flash memories, magnetic cards, or optical cards. That is, a readable storage medium includes any medium that stores or transmits information in a form readable by a device (e.g., a computer).
The application of the embodiment of the application has at least the following beneficial effects:
because the number of the road condition information which can be sent by the Internet of vehicles cloud platform in the preset first time is limited, the vehicle-mounted equipment of the first vehicle determines the expected value of each vehicle according to the number of the road condition information types which is predicted by the vehicle-mounted equipment of each vehicle and is obtained through the Internet of vehicles cloud platform, the number of the road condition information types which can be provided by the Internet of vehicles cloud platform in the preset first time, and the historical failure rate of the vehicle-mounted equipment of each vehicle; the vehicle-mounted equipment of the first vehicle adjusts the running state of the first vehicle according to the expected value and the number of the second vehicles running before the first vehicle, so that the first vehicle obtains the road condition information sent by the Internet of vehicles cloud platform, and meanwhile, the safety of road driving is improved.
It will be understood by those within the art that 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 computer program instructions. Those skilled in the art will appreciate that the computer program instructions may be implemented by a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, implement the aspects specified in the block or blocks of the block diagrams and/or flowchart illustrations disclosed herein.
Those of skill in the art will appreciate that the various operations, methods, steps in the processes, acts, or solutions discussed in this application can be interchanged, modified, combined, or eliminated. Further, other steps, measures, or schemes in various operations, methods, or flows that have been discussed in this application can be alternated, altered, rearranged, broken down, combined, or deleted. Further, steps, measures, schemes in the prior art having various operations, methods, procedures disclosed in the present application may also be alternated, modified, rearranged, decomposed, combined, or deleted.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, several modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (10)
1. A method for acquiring road condition information is applied to vehicle-mounted equipment, and is characterized by comprising the following steps:
acquiring a first type number of road condition information of each vehicle in at least two vehicles, a historical failure rate of vehicle-mounted equipment of each vehicle, a second type number and the number of second vehicles; the at least two vehicles are vehicles of a road section monitored by the Internet of vehicles cloud platform within a preset first time, the at least two vehicles comprise a first vehicle and a second vehicle, and the second vehicle runs before the first vehicle; the first type number is the type number of the road condition information which is expected to be obtained by the vehicle-mounted equipment of each vehicle through the Internet of vehicles cloud platform; the second type number is the type number of the road condition information which can be provided by the Internet of vehicles cloud platform in the preset first time;
determining expected values of the vehicles according to the first type number, the historical fault rate and the second type number;
and adjusting the running state of the first vehicle according to the expected value and the number of the second vehicles so as to enable the first vehicle to obtain the road condition information sent by the Internet of vehicles cloud platform through the adjusted running state.
2. The method according to claim 1, wherein the obtaining a first type number of the traffic information of each of the at least two vehicles comprises:
acquiring a first type number of road condition information of each vehicle through the Internet of vehicles cloud platform or the vehicle-mounted equipment of each vehicle, wherein the type of the road condition information comprises at least one of temperature and humidity of the road section, visibility of the road section, road surface condition of the road section, traffic jam condition of the road section and traffic accident condition of the road section.
3. The method of claim 1, wherein determining the expected value for each vehicle based on the first category number, the historical failure rate, and the second category number comprises:
calculating to obtain a third class number based on the second class number and the first class number; the first type number is based on that the historical failure rate of the vehicle-mounted equipment of each vehicle is zero, and the vehicle-mounted equipment of each vehicle predicts the type number of the road condition information acquired through the Internet of vehicles cloud platform; the third type number is the type number of the road condition information obtained by detecting the road section based on the fact that the historical failure rate of the vehicle-mounted equipment of each vehicle is zero;
determining expected values of the vehicles according to the second type number, the third type number and the historical failure rate; the historical failure rate is the proportion of the time of failure of the vehicle-mounted equipment of each vehicle to a preset second time; the expected value is based on that the historical failure rate of the vehicle-mounted equipment of each vehicle is not zero, and the vehicles predict the type and quantity of the road condition information acquired through the Internet of vehicles cloud platform.
4. The method of claim 1, further comprising, prior to said adjusting the driving state of the first vehicle based on the desired value and the number of second vehicles:
determining the quantity of the road condition information which can be provided by the Internet of vehicles cloud platform in the preset first time according to the second type number;
calculating to obtain a first numerical value based on the quantity of the road condition information and the expected value of the first vehicle;
the adjusting the driving state of the first vehicle according to the expected value and the number of the second vehicles comprises:
and adjusting the running state of the first vehicle according to the expected value, the number of the second vehicles and the first numerical value.
5. The method of claim 4, wherein the adjusting the driving state of the first vehicle based on the desired value and the number of second vehicles comprises:
arranging the expected values of all vehicles except the expected value of the first vehicle in a descending order, and determining N expected values which are sequenced at the top, wherein the sum of the N expected values which are sequenced at the top is not more than the first numerical value, and N is a positive integer;
arranging the expected values of all vehicles except the expected value of the first vehicle in a descending order, and determining M expected values which are sequenced at the top, wherein the sum of the M expected values which are sequenced at the top is not more than the first numerical value, and M is a positive integer;
and adjusting the running state of the first vehicle according to the N, the M and the number of the second vehicles.
6. The method of claim 5, wherein said adjusting the driving state of the first vehicle based on said N, said M, and the number of second vehicles comprises:
when the number of the second vehicles is not larger than N, adjusting the running state of the first vehicle to be a first state, wherein the first state comprises that the first vehicle does not overtake the second vehicle;
when the number of the second vehicles is larger than M, adjusting the running state of the first vehicle to be a second state, wherein the first state comprises that the first vehicle overtakes at least one second vehicle;
and when the number of the second vehicles is larger than N and not larger than M, obtaining a random number according to N, M and the number of the second vehicles, and adjusting the running state of the first vehicle according to the random number.
7. The method of claim 6, wherein said adjusting the driving state of the first vehicle based on the random number comprises:
obtaining a second numerical value by calculating the difference between the M and the number of the second vehicles;
obtaining a third numerical value by subtracting the M and the N;
when the random number is not larger than the quotient between the second numerical value and the third numerical value, adjusting the running state of the first vehicle to be the first state;
and when the random number is larger than the quotient between the second numerical value and the third numerical value, adjusting the running state of the first vehicle to be the second state.
8. The utility model provides an acquire road conditions information's device is applied to mobile unit, its characterized in that includes:
the first processing module is used for acquiring a first type number of road condition information of each vehicle in at least two vehicles, a historical failure rate of vehicle-mounted equipment of each vehicle, a second type number and the number of second vehicles; the at least two vehicles are vehicles of a road section monitored by the Internet of vehicles cloud platform within a preset first time, the at least two vehicles comprise a first vehicle and a second vehicle, and the second vehicle runs before the first vehicle; the first type number is the type number of the road condition information which is expected to be obtained by the vehicle-mounted equipment of each vehicle through the Internet of vehicles cloud platform; the second type number is the type number of the road condition information which can be provided by the Internet of vehicles cloud platform in the preset first time;
the second processing module is used for determining expected values of all vehicles according to the first type number, the historical fault rate and the second type number;
and the third processing module is used for adjusting the running state of the first vehicle according to the expected value and the number of the second vehicles, so that the first vehicle can acquire the road condition information sent by the internet-of-vehicles cloud platform through the adjusted running state.
9. An electronic device, comprising: a processor, a memory;
the memory for storing a computer program;
the processor is configured to execute the method for acquiring traffic information according to any one of claims 1 to 7 by calling the computer program.
10. A computer-readable storage medium, in which a computer program is stored, and the computer program is used for implementing the method for acquiring traffic information according to any one of claims 1-7 when being executed by a processor.
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