CN114078328A - Road condition determination method and device and computer readable storage medium - Google Patents
Road condition determination method and device and computer readable storage medium Download PDFInfo
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- CN114078328A CN114078328A CN202111467759.7A CN202111467759A CN114078328A CN 114078328 A CN114078328 A CN 114078328A CN 202111467759 A CN202111467759 A CN 202111467759A CN 114078328 A CN114078328 A CN 114078328A
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
- H04W4/027—Services making use of location information using location based information parameters using movement velocity, acceleration information
Abstract
The application provides a road condition determining method, a road condition determining device and a computer readable storage medium, relates to the field of communication, and can improve the accuracy of a determined road condition result while reducing input cost. The method comprises the following steps: acquiring the moving speed and the moving direction of each terminal device in K terminal devices moving in a target road section, wherein K is a positive integer; screening the moving speed and the moving direction of the K terminal devices according to the moving speed and the moving direction of each terminal device in the K terminal devices and the timestamp of the same type of mobile network signaling of each terminal device in the K terminal devices, and determining the moving speeds of a plurality of vehicles in each moving direction in one or more moving directions of a target road section; and determining the road condition of the target road section in each moving direction according to the moving speeds of the vehicles in each moving direction.
Description
Technical Field
The present application relates to the field of communications, and in particular, to a method and an apparatus for determining a road condition, and a computer-readable storage medium.
Background
In the prior art, for determining road conditions in real time:
the method is based on the fact that road traffic participants determine through Global Positioning System (GPS) data reported by navigation software, in the method, the accuracy of road condition results depends on the coverage rate of the navigation software, the higher the coverage rate of the navigation software is, the more the number of the acquired GPS data is, and the higher the accuracy of the road condition results is. However, the vehicle does not necessarily use the navigation software, and if the coverage rate of the navigation software is low, the amount of the acquired GPS data is small, so that the accuracy of the road condition determination result is low.
The other method is to additionally arrange sensing equipment on the road, and identify the number of vehicles on the road and measure the speed of the vehicles through the sensing equipment so as to determine the road condition. However, this method requires additional sensor equipment on the road, and the input cost is large.
Disclosure of Invention
The application provides a road condition determining method, a road condition determining device and a computer readable storage medium, which can reduce input cost and improve accuracy of a determined road condition result.
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, a traffic condition determining method is provided, which may be executed by a traffic condition determining apparatus, and includes: acquiring the moving speed and the moving direction of each terminal device in K terminal devices moving in a target road section, wherein K is a positive integer; screening the moving speed and the moving direction of the K terminal devices according to the moving speed and the moving direction of each terminal device in the K terminal devices and the timestamp of the same type of mobile network signaling of each terminal device in the K terminal devices, and determining the moving speeds of a plurality of vehicles in each moving direction in one or more moving directions of a target road section; and determining the road condition of the target road section in each moving direction according to the moving speeds of the vehicles in each moving direction.
The method and the device determine the road condition of each moving direction of the target road section by screening the moving speed and the moving direction of the terminal device moving in the target road section. On the one hand, because this application need not to install sensing equipment additional at the road, therefore the input cost of this application is less than the input cost that needs to install sensing equipment additional at the road among the prior art, and on the other hand, because the coverage of terminal equipment in the vehicle is higher than the coverage of navigation software in the vehicle, therefore this application is based on the quantity of the data that terminal equipment acquireed is more than the quantity of the data that acquires based on the navigation software, and then the precision of the road conditions result of definite road is higher than the precision of the road conditions result of road confirmed based on the navigation software. In conclusion, the scheme of the application can reduce the input cost and improve the accuracy of the road condition result prediction.
With reference to the first aspect, in some implementations of the first aspect, obtaining a moving speed of each of K terminal devices moving in the target road segment includes: determining the length of the target road section according to the coverage radius of a base station serving the target road section and the distance between the base station and the target road section; determining the difference value between the time when each terminal device in the K terminal devices is accessed to the base station and the time when each terminal device in the K terminal devices leaves the base station as the moving time of each terminal device in the K terminal devices on the target road section; and determining the ratio of the length of the target road section to the moving time of each terminal device in the K terminal devices on the target road section as the moving speed of each terminal device in the K terminal devices.
With reference to the first aspect, in some implementations of the first aspect, the obtaining a moving direction of each of K terminal devices moving in the target road segment includes: and determining the moving direction of each terminal device in the K terminal devices according to the relative position of the base station of the service target road section and the next base station accessed after each terminal device in the K terminal devices leaves the base station and a first mapping relation, wherein the first mapping relation comprises the mapping relation between the relative position information of the base station of the service target road section and the next base station accessed after each terminal device in the K terminal devices leaves the base station and the moving direction of the terminal device on the target road section.
With reference to the first aspect, in some implementations of the first aspect, the filtering the moving speeds and the moving directions of the K terminal devices according to the moving speed and the moving direction of each of the K terminal devices and a timestamp of a same type of mobile network signaling of each of the K terminal devices, and determining the moving speeds of a plurality of vehicles in each of one or more moving directions of the target road segment includes: determining M primary screening terminal devices according to the timestamp of the same type of mobile network signaling of each terminal device in the K terminal devices, the moving speed and the moving direction of each terminal device in the K terminal devices, wherein the timestamp and the moving speed of the same type of mobile network signaling of each terminal device in the M primary screening terminal devices are different, and the moving direction of each terminal device in the M primary screening terminal devices is the same; and determining the moving speeds of a plurality of vehicles in each moving direction in one or more moving directions of the target road section according to the moving speed of each terminal device in the M preliminary screening terminal devices.
With reference to the first aspect, in certain embodiments of the first aspect, determining moving speeds of a plurality of vehicles in each of one or more moving directions of the target road segment from the moving speed of each of the M prescreening terminal devices includes: if the maximum moving speed of one or more of the M prescreening terminal devices in the first moving direction is larger than a first threshold value, determining the average moving speed of one or more of the M prescreening terminal devices in the first moving direction, of which the moving speed is larger than the first threshold value, as the moving speeds of a plurality of vehicles in the first moving direction of the target road section, wherein the first moving direction is any one of the one or more moving directions; or if the maximum moving speed of one or more preliminary screening terminal devices in the first moving direction in the M preliminary screening terminal devices is not greater than the first threshold, determining the average moving speed of one or more preliminary screening terminal devices in the first moving direction in the M preliminary screening terminal devices as the moving speeds of the plurality of vehicles in the first moving direction on the target road section.
In a second aspect, a traffic determination device is provided for implementing the traffic determination method. The road condition determining apparatus includes modules, units, or means (means) corresponding to the implementation of the above method, and the modules, units, or means may be implemented by hardware, software, or by hardware executing corresponding software. The hardware or software includes one or more modules or units corresponding to the above functions.
With reference to the second aspect, in some embodiments of the second aspect, the road condition determining device includes: the device comprises an acquisition module and a determination module; the acquisition module is used for acquiring the moving speed and the moving direction of each terminal device in K terminal devices moving in the target road section, wherein K is a positive integer; the determining module is used for screening the moving speed and the moving direction of the K terminal devices according to the moving speed and the moving direction of each terminal device in the K terminal devices and the timestamp of the same type of mobile network signaling of each terminal device in the K terminal devices, and determining the moving speeds of a plurality of vehicles in each moving direction in one or more moving directions of the target road section; the determining module is further used for determining road conditions of the target road section in each moving direction according to the moving speeds of the vehicles in each moving direction.
With reference to the second aspect, in some embodiments of the second aspect, the obtaining module is configured to obtain a moving speed of each of K terminal devices moving in the target road segment, and includes: the system comprises a base station, a target road section and a control unit, wherein the base station is used for serving the target road section and determining the length of the target road section according to the coverage radius of the base station serving the target road section and the distance between the base station and the target road section; determining the difference value between the time when each terminal device in the K terminal devices is accessed to the base station and the time when each terminal device in the K terminal devices leaves the base station as the moving time of each terminal device in the K terminal devices on the target road section; and determining the ratio of the length of the target road section to the moving time of each terminal device in the K terminal devices on the target road section as the moving speed of each terminal device in the K terminal devices.
With reference to the second aspect, in some embodiments of the second aspect, the obtaining module is configured to obtain a moving direction of each of K terminal devices moving in the target road segment, and includes: the method comprises the steps of determining the moving direction of each terminal device in the K terminal devices according to the relative position between the base station of the service target road section and the next base station accessed after each terminal device in the K terminal devices leaves the base station and a first mapping relation, wherein the first mapping relation comprises the mapping relation between the relative position information between the base station of the service target road section and the next base station accessed after each terminal device in the K terminal devices leaves the base station and the moving direction of the terminal device on the target road section.
With reference to the second aspect, in certain embodiments of the second aspect, the determining module for determining moving speeds of a plurality of vehicles in each of one or more moving directions of the target road segment includes: the system comprises M primary screening terminal devices, a server and a server, wherein the M primary screening terminal devices are used for determining the M primary screening terminal devices according to the timestamp of the same type of mobile network signaling of each terminal device in the K terminal devices, the moving speed and the moving direction of each terminal device in the K terminal devices, the timestamp and the moving speed of the same type of mobile network signaling of each terminal device in the M primary screening terminal devices are different, and the moving direction of each terminal device in the M primary screening terminal devices is the same; and determining the moving speeds of a plurality of vehicles in each moving direction in one or more moving directions of the target road section according to the moving speed of each terminal device in the M preliminary screening terminal devices.
With reference to the second aspect, in certain embodiments of the second aspect, the determining module, configured to determine moving speeds of a plurality of vehicles in each of one or more moving directions of the target road segment according to the moving speed of each of the M prescreening terminal devices, includes: the average moving speed of one or more terminal devices of the one or more prescreening terminal devices in the first moving direction of the M prescreening terminal devices is determined as the moving speed of a plurality of vehicles in the first moving direction of the target road section, wherein the moving speed of the one or more terminal devices in the first moving direction of the M prescreening terminal devices is greater than a first threshold value, and the first moving direction is any moving direction of the one or more moving directions; or, if the maximum moving speed of one or more of the M prescreening terminal devices in the first moving direction is not greater than the first threshold, determining the average moving speed of one or more of the M prescreening terminal devices in the first moving direction as the moving speeds of the plurality of vehicles in the first moving direction on the target road segment.
In a third aspect, a traffic determination device is provided, including: at least one processor; the processor is configured to execute a computer program or instructions to enable the road condition determining apparatus to perform the method of the first aspect.
With reference to the third aspect, in some embodiments of the third aspect, the road condition determining apparatus further includes a memory, and the memory is used for storing necessary program instructions and data. The memory may be coupled to the processor or may be independent of the processor.
In some possible designs, the road condition determining device may be a chip or a chip system. When the road condition determining device is a chip system, the road condition determining device can be composed of a chip, and can also comprise a chip and other discrete devices.
In a fourth aspect, a computer-readable storage medium is provided, having stored thereon computer instructions, which, when executed by a computer, cause the computer to perform the method of the first aspect described above.
In a fifth aspect, there is provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the method of the first aspect described above.
For technical effects brought by any one of the design manners of the second aspect to the fifth aspect, reference may be made to the technical effects brought by different design manners of the first aspect, and details are not repeated herein.
Drawings
Fig. 1 is a schematic flow chart of a road condition determining method provided in the present application;
fig. 2a is a schematic diagram illustrating a position relationship between a base station and a target road segment according to the present application;
fig. 2b is a schematic flow chart of another road condition determining method provided in the present application;
fig. 3 is a schematic structural diagram of a road condition determining device provided in the present application;
fig. 4 is a schematic structural diagram of another road condition determining device provided in the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
In the description of the present application, "plurality" means two or more than two unless otherwise specified. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple.
In addition, in order to facilitate clear description of technical solutions of the embodiments of the present application, in the embodiments of the present application, terms such as "first" and "second" are used to distinguish the same items or similar items having substantially the same functions and actions. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance. Also, in the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as examples, illustrations or illustrations. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present relevant concepts in a concrete fashion for ease of understanding.
It should be appreciated that reference throughout this specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present application. Thus, the various embodiments are not necessarily referring to the same embodiment throughout the specification. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in the various embodiments of the present application, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the inherent logic of the processes, and should not constitute any limitation to the implementation process of the embodiments of the present application.
It is to be understood that, in the present application, "when …", "if" and "if" all refer to the corresponding processing under certain objective conditions, and are not time-limited, and do not require action that necessarily requires judgment when implemented, nor do they imply that there are other limitations.
It is understood that some optional features in the embodiments of the present application may be implemented independently without depending on other features in some scenarios, such as a currently-based solution, to solve corresponding technical problems and achieve corresponding effects, or may be combined with other features according to requirements in some scenarios. Accordingly, the apparatuses provided in the embodiments of the present application may also implement these features or functions, which are not described herein again.
In this application, the same or similar parts between the respective embodiments may be referred to each other unless otherwise specified. In the embodiments and implementation methods in the embodiments in the present application, unless otherwise specified or conflicting in logic, terms and/or descriptions between different embodiments and implementation methods in the embodiments have consistency and can be mutually cited, and technical features in different embodiments and implementation methods in the embodiments can be combined to form a new embodiment, implementation mode, implementation method or implementation method according to the inherent logic relationship. The following embodiments of the present application do not limit the scope of the present application.
The technical solution of the embodiment of the present application may be applied to various communication systems, which may be a third generation partnership project (3 GPP) communication system, for example, a Long Term Evolution (LTE) system, a fifth generation (5th generation, 5G) mobile communication network, a New Radio (NR) system, or a new radio to Internet of Things (NR V2X) system, or a system formed by combining LTE and 5G networking, or a device to device (D2D) communication system, a machine to machine (M2M) communication system, an Internet of Things (of Things, IoT), and other next-generation communication systems, or may be a non-3 GPP communication system, without limitation. The above-mentioned communication system applicable to the present application is only an example, and the communication system applicable to the present application is not limited thereto, and is herein collectively described, and will not be described again.
The following description will be made with reference to the accompanying drawings for a road condition determining method provided in the embodiments of the present application.
It is to be understood that, in the embodiments of the present application, the executing subject may perform some or all of the steps in the embodiments of the present application, and these steps or operations are merely examples, and the embodiments of the present application may also perform other operations or variations of various operations. Further, the various steps may be performed in a different order presented in the embodiments of the application, and not all operations in the embodiments of the application may be performed.
As shown in fig. 1, a schematic flow chart of a road condition determining method provided in the embodiment of the present application is shown, where the road condition determining method includes the following steps:
s101, the road condition determining device obtains the moving speed and the moving direction of each terminal device in K terminal devices moving in a target road section, wherein K is a positive integer.
Optionally, the obtaining, by the road condition determining device, the moving speed of each terminal device of the K terminal devices moving in the target road segment includes: the road condition determining device determines the length of the target road section according to the coverage radius of the base station serving the target road section and the distance between the base station and the target road section. And determining the difference value between the time when each terminal device in the K terminal devices accesses the base station and the time when each terminal device in the K terminal devices leaves the base station as the moving time of each terminal device in the K terminal devices on the target road section. And determining the ratio of the length of the target road section to the moving time of each terminal device in the K terminal devices on the target road section as the moving speed of each terminal device in the K terminal devices.
As a possible implementation, taking fig. 2a as an example, fig. 2a is a schematic diagram of a position relationship between a base station and a target road section provided by the present application, where a coverage radius R of a base station a serving the target road section is 500 meters (m), a distance H between the base station a and the target road section is 400m, and the coverage radius R is according to the pythagorean theorem L/22+H2＝R2Therefore, the length L/2 of the half of the target link is 300m, and the length L/2 of the target link is determined to be 600 m. For any terminal device in K terminal devices, the time when the terminal device accesses the base station A is 12:00, the time when the terminal device leaves the base station A is 12:01, and the moving time of the terminal device on the target road section is determined to be 60 seconds(s). Therefore, the road condition determining device determines that the moving speed of the terminal device is 10 m/s-36 kilometers per hour (km/h).
As a possible implementation, the time when the terminal device accesses the base station and the time when the terminal device leaves the base station may be obtained by the road condition determining device from a signaling of the terminal device for recording interaction between the terminal device and the mobile network, where the interaction signaling may be signaling related to flows of terminal device attachment, detachment, service request, service detachment request, bearer resource application, bearer resource release, terminal capability reporting, tracking area updating, and the like.
For example, the signaling that the terminal device interacts with the mobile network may be mobile network signaling of an operation domain (O domain) acquired by the road condition determining apparatus by interfacing with the real-time data system through the kafka tool, and table 1 below is an exemplary diagram of the mobile signaling provided in the present application:
TABLE 1
| Msisdn | Time of start of service | End of service time | CITY-ID | eNodeB | CELL-ID |
| 186xxxx2487 | 2020-6-1:8:00:00 | 2020-6-1:8:10:00 | 110 | 106544 | 1065441 |
| Longitude (G) | Latitude | Network system | IMEI | Sdrtype | Cause code |
| 105.8749 | 25.6987 | 4G | 1234567890123 | attach | Failure of authentication |
Wherein Msisdn represents a communication number of a terminal device, a start service time represents a start time of a service corresponding to the signaling, an end service time represents an end time of the service corresponding to the signaling, CITY-ID represents a number of a CITY where the base station is located, eNodeB represents a number of the base station, CELL-ID represents a number of a CELL where the terminal device is located, longitude represents longitude where the base station is located, latitude represents latitude where the base station is located, a network format represents a network format of the base station, an International Mobile Equipment Identity (IMEI) represents a number of the terminal device, Sdrtype represents a type of the service corresponding to the signaling, and house code represents an interaction result of the service corresponding to the signaling.
As a possible implementation, the coverage radius of the base station serving the target road segment and the distance between the base station and the target road segment may be obtained by the road condition determining device querying a first information table according to the number or the position information of the base station, where the first information table includes the coverage radius of the base station serving the target road segment and the distance between the base station and the target road segment.
Optionally, the obtaining, by the road condition determining device, a moving direction of each terminal device of the K terminal devices moving in the target road segment includes: the road condition determining device determines the moving direction of each terminal device in the K terminal devices according to the relative position between the base station of the service target road section and the next base station accessed after each terminal device in the K terminal devices leaves the base station and a first mapping relation, wherein the first mapping relation comprises the mapping relation between the relative position information between the base station of the service target road section and the next base station accessed after each terminal device in the K terminal devices leaves the base station and the moving direction of the terminal device on the target road section.
As a possible implementation, taking the schematic diagram of the position relationship between the base station and the target road segment shown in fig. 2a as an example, if any terminal device in the K terminal devices leaves the base station a and then accesses the base station B, the road condition determining device determines that the relative position between the base station a serving the target road segment and the next base station B accessed after the terminal device leaves the base station a is from the base station a to the base station B, and determines, in combination with the first mapping relationship, that the moving direction of the terminal device is from the left end to the right end of the target road segment shown in fig. 2a, that is, from west to east. Or, if any terminal device of the K terminal devices leaves the base station a and then accesses the base station C, the road condition determining device determines that the relative position between the base station a of the service target section and the next base station C accessed after the terminal device leaves the base station a is from the base station a to the base station C, and determines that the moving direction of the terminal device is from the right end to the left end of the target section shown in fig. 2a, that is, from east to west, in combination with the first mapping relationship.
S102, the road condition determining device screens the moving speed and the moving direction of the K terminal devices according to the moving speed and the moving direction of each terminal device in the K terminal devices and the timestamp of the same type of mobile network signaling of each terminal device in the K terminal devices, and determines the moving speeds of a plurality of vehicles in each moving direction in one or more moving directions of the target road section.
In a possible implementation manner, as shown in fig. 2b, the road condition determining apparatus filters the moving speed and the moving direction of the K terminal devices according to the moving speed and the moving direction of each of the K terminal devices and a timestamp of a same type of mobile network signaling of each of the K terminal devices, and determines the moving speeds of a plurality of vehicles in each of one or more moving directions of the target road segment, which specifically includes the following steps S1021-S1022:
s1021, the road condition determining device determines M primary screening terminal devices according to the timestamp of the same type of mobile network signaling of each terminal device in the K terminal devices, the moving speed and the moving direction of each terminal device in the K terminal devices, wherein the timestamp and the moving speed of the same type of mobile network signaling of each terminal device in the M primary screening terminal devices are different, and the moving direction of each terminal device in the M primary screening terminal devices is the same.
As a possible implementation, table 2 below is an example of the timestamp, the moving speed, and the moving direction of the same type of mobile network signaling for K terminal devices provided in the present application, where K is 8.
TABLE 2
| Time stamp | Communication number of terminal device | Speed of movement | Direction of movement |
| 2020-6-1:8:00：00 | 12345678 | 30km/h | East to west |
| 2020-6-1:8:00：00 | 23456781 | 40km/h | East to west |
| 2020-6-1:8:00：00 | 34567812 | 30km/h | East to west |
| 2020-6-1:8:00：00 | 45678123 | 40km/h | West to east |
| 2020-6-1:8:00：00 | 56781234 | 30km/h | East to west |
| 2020-6-1:8:00：00 | 67812345 | 10km/h | East to west |
| 2020-6-1:8:00：00 | 78123456 | 30km/h | West to east |
| 2020-6-1:8:00：00 | 81234567 | 10km/h | West to east |
And the road condition determining device determines M primary screening terminal devices according to the time stamp, the moving speed and the moving direction of the mobile network signaling of the same type of the 8 terminal devices. Table 3 below is an example of M prescreening terminal devices provided in the present application, where the example is that M is 3, and the moving direction is east to west.
TABLE 3
| Time stamp | Communication number of terminal device | Speed of movement | Direction of movement |
| 2020-6-1:8:00：00 | 12345678 | 30km/h | East to west |
| 2020-6-1:8:00：00 | 23456781 | 40km/h | East to west |
| 2020-6-1:8:00：00 | 67812345 | 10km/h | East to west |
As can be seen from table 2, the timestamp and the moving speed of the same type of mobile network signaling of each of the 3 prescreening terminal devices are different, and the moving direction is the same. That is, the step is to determine a plurality of terminal devices with the same timestamp, moving speed and moving direction of the same type of mobile network signaling in the K terminal devices as one prescreening terminal device.
And S1022, the road condition determining device determines the moving speeds of a plurality of vehicles in each moving direction in one or more moving directions of the target road section according to the moving speed of each terminal device in the M primary screening terminal devices.
As a possible implementation, if the maximum moving speed of one or more of the M prescreening terminal devices in the first moving direction is greater than a first threshold, the road condition determining device determines an average moving speed of one or more of the one or more prescreening terminal devices in the first moving direction of the M prescreening terminal devices in which the moving speed is greater than the first threshold as the moving speeds of the plurality of vehicles in the first moving direction of the target road segment, where the first moving direction is any one of the one or more moving directions; or if the maximum moving speed of one or more preliminary screening terminal devices in the first moving direction in the M preliminary screening terminal devices is not greater than the first threshold, the road condition determining device determines the average moving speed of one or more preliminary screening terminal devices in the first moving direction in the M preliminary screening terminal devices as the moving speeds of the plurality of vehicles in the first moving direction of the target road section.
As an example, taking 3 prescreen terminal devices shown in table 3 and taking the first threshold value as 15km/h as an example, in table 3, the moving speed of the prescreen terminal device with the communication number 23456781 is the maximum, and the moving speed is 40km/h is greater than the first threshold value 15km/h, and the road condition determining device takes the average moving speed of 35km/h of the prescreen terminal devices with the communication numbers 12345678 and 2345678, which have the moving speeds greater than 15km/h, among the 3 prescreen terminal devices as the moving speeds of the plurality of vehicles in the east-west direction of the target road segment.
As another example, taking 3 prescreen terminal devices shown in table 3 and taking the first threshold as 15km/h as an example, if the moving speeds of the prescreen terminal devices with the communication numbers 12345678 and 2345678 are 15km/h and 5km/h, respectively, among the 3 prescreen terminal devices shown in table 3, at this time, the moving speed of the prescreen terminal device with the communication number 12345678 among the 3 prescreen terminal devices is the largest, and the moving speed is 15km/h not greater than the first threshold 15km/h, and the road condition determining device takes the average moving speed of 10km/h of the 3 prescreen terminal devices as the moving speed of a plurality of vehicles in the east-west direction of the target road segment.
S103, the road condition determining device determines the road condition of each moving direction of the target road section according to the moving speeds of the vehicles in each moving direction.
Optionally, as shown in table 4, table 4 is an example of a mapping relationship between a moving speed of a vehicle and a road condition provided in the present application.
TABLE 4
| Multiple vehicle moving speed | Road conditions |
| 0-15km/h | Severe congestion |
| 15-30km/h | Congestion |
| 30-60km/h | In general |
| 60-90km/h | Clear |
| Greater than 90km/h | Is very unblocked |
Taking the moving speeds of the vehicles in the east-west direction of the target road segment in the step S1022 as an example, if the moving speeds of the vehicles in the east-west direction of the target road segment are 35km/h, the road condition determining device determines that the road condition of the road in the east-west direction of the target road segment is normal, or if the moving speeds of the vehicles in the east-west direction of the target road segment are 10km/h, the road condition determining device determines that the road condition of the road in the east-west direction of the target road segment is heavily congested.
The method and the device determine the road condition of each moving direction of the target road section by screening the moving speed and the moving direction of the terminal device moving in the target road section. On the one hand, because this application need not to install sensing equipment additional at the road, therefore the input cost of this application is less than the input cost that needs to install sensing equipment additional at the road among the prior art, and on the other hand, because the coverage of terminal equipment in the vehicle is higher than the coverage of navigation software in the vehicle, therefore this application is based on the quantity of the data that terminal equipment acquireed is more than the quantity of the data that acquires based on the navigation software, and then the precision of the road conditions result of definite road is higher than the precision of the road conditions result of road confirmed based on the navigation software. In conclusion, the scheme of the application can reduce the input cost and improve the accuracy of the road condition result prediction.
The above-mentioned scheme provided by the embodiment of the present application is introduced mainly from the perspective of the road condition determining device executing the road condition determining method. In order to realize the above functions, the road condition determining apparatus includes a hardware structure and/or a software module corresponding to each function. Those of skill in the art will readily appreciate that the various illustrative elements 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 invention.
In the embodiment of the present application, the road condition determining device may be divided into the functional modules according to the above method examples, 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. Optionally, the division of the modules in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation. Further, a "module" herein may refer to a specific application-specific integrated circuit (ASIC), a circuit, a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that may provide the described functionality.
In the case of functional module division, fig. 3 shows a schematic structural diagram of a road condition determining apparatus 30. As shown in fig. 3, the road condition determining apparatus includes an obtaining module 301 and a processing module 302.
In some embodiments, the road condition determining device 30 may further include a storage module (not shown in fig. 3) for storing program instructions and data.
The system comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring the moving speed and the moving direction of each terminal device in K terminal devices moving in a target road section, and K is a positive integer; the determining module is used for screening the moving speed and the moving direction of the K terminal devices according to the moving speed and the moving direction of each terminal device in the K terminal devices and the timestamp of the same type of mobile network signaling of each terminal device in the K terminal devices, and determining the moving speeds of a plurality of vehicles in each moving direction in one or more moving directions of the target road section; the determining module is further used for determining road conditions of the target road section in each moving direction according to the moving speeds of the vehicles in each moving direction.
As a possible implementation, the obtaining module is configured to obtain a moving speed of each of K terminal devices moving in a target road segment, and includes: the system comprises a base station, a target road section and a control unit, wherein the base station is used for serving the target road section and determining the length of the target road section according to the coverage radius of the base station serving the target road section and the distance between the base station and the target road section; determining the difference value between the time when each terminal device in the K terminal devices is accessed to the base station and the time when each terminal device in the K terminal devices leaves the base station as the moving time of each terminal device in the K terminal devices on the target road section; and determining the ratio of the length of the target road section to the moving time of each terminal device in the K terminal devices on the target road section as the moving speed of each terminal device in the K terminal devices.
As a possible implementation, the obtaining module is configured to obtain a moving direction of each of K terminal devices moving in a target road segment, and includes: the method comprises the steps of determining the moving direction of each terminal device in the K terminal devices according to the relative position between the base station of the service target road section and the next base station accessed after each terminal device in the K terminal devices leaves the base station and a first mapping relation, wherein the first mapping relation comprises the mapping relation between the relative position information between the base station of the service target road section and the next base station accessed after each terminal device in the K terminal devices leaves the base station and the moving direction of the terminal device on the target road section.
As one possible implementation, a determining module for determining moving speeds of a plurality of vehicles in each of one or more moving directions of a target road segment includes: the system comprises M primary screening terminal devices, a server and a server, wherein the M primary screening terminal devices are used for determining the M primary screening terminal devices according to the timestamp of the same type of mobile network signaling of each terminal device in the K terminal devices, the moving speed and the moving direction of each terminal device in the K terminal devices, the timestamp and the moving speed of the same type of mobile network signaling of each terminal device in the M primary screening terminal devices are different, and the moving direction of each terminal device in the M primary screening terminal devices is the same; and determining the moving speeds of a plurality of vehicles in each moving direction in one or more moving directions of the target road section according to the moving speed of each terminal device in the M preliminary screening terminal devices.
As one possible implementation, the determining module is configured to determine moving speeds of a plurality of vehicles in each of one or more moving directions of the target road segment according to the moving speed of each of the M prescreening terminal devices, and includes: the average moving speed of one or more terminal devices of the one or more prescreening terminal devices in the first moving direction of the M prescreening terminal devices is determined as the moving speed of a plurality of vehicles in the first moving direction of the target road section, wherein the moving speed of the one or more terminal devices in the first moving direction of the M prescreening terminal devices is greater than a first threshold value, and the first moving direction is any moving direction of the one or more moving directions; or, if the maximum moving speed of one or more of the M prescreening terminal devices in the first moving direction is not greater than the first threshold, determining the average moving speed of one or more of the M prescreening terminal devices in the first moving direction as the moving speeds of the plurality of vehicles in the first moving direction on the target road segment.
All relevant contents of each step related to the above method embodiment may be referred to the functional description of the corresponding functional module, and are not described herein again.
In the case of implementing the functions of the functional modules in the form of hardware, fig. 4 shows a schematic structural diagram of another road condition determining device 40. As shown in fig. 4, the road condition determining apparatus includes a processor 401, a memory 402 and a bus 403. The processor 401 and the memory 402 may be connected by a bus 403.
The processor 401 is a control center of the road condition determining apparatus 40, and may be a single processor or a collective term for multiple processing elements. For example, the processor 401 may be a Central Processing Unit (CPU), other general-purpose processors, or the like. Wherein a general purpose processor may be a microprocessor or any conventional processor or the like.
For one embodiment, processor 401 may include one or more CPUs, such as CPU 0 and CPU 1 shown in FIG. 4.
The memory 402 may be, but is not limited to, 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, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
As a possible implementation, the memory 402 may be present separately from the processor 401, and the memory 402 may be connected to the processor 401 via a bus 403 for storing instructions or program code. The one-time id using method provided by the embodiment of the present invention can be implemented when the processor 401 calls and executes the instructions or program codes stored in the memory 402.
In another possible implementation, the memory 402 may also be integrated with the processor 401.
The bus 403 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
It should be noted that the structure shown in fig. 4 does not constitute a limitation to the road condition determining apparatus 40. The road condition determining device 40 may include more or less components than those shown in fig. 4, or some components may be combined, or a different arrangement of components than those shown in the drawings.
As an example, in conjunction with fig. 3, the acquiring module 301 and the processing module 302 in the road condition determining device 30 implement the same functions as the processor 401 in fig. 4.
Optionally, as shown in fig. 4, the road condition determining device 40 provided in the embodiment of the present application may further include a communication interface 404.
A communication interface 404 for connecting with other devices through a communication network. The communication network may be an ethernet network, a radio access network, a Wireless Local Area Network (WLAN), etc. The communication interface 404 may include a receiving unit for receiving data, and a transmitting unit for transmitting data.
In a possible implementation manner, in the road condition determining device 40 provided in this embodiment of the present application, the communication interface 404 may also be integrated in the processor 401, which is not specifically limited in this embodiment of the present application.
As a possible product form, the road condition determining apparatus according to the embodiment of the present application may be implemented by using the following: one or more Field Programmable Gate Arrays (FPGAs), Programmable Logic Devices (PLDs), controllers, state machines, gate logic, discrete hardware components, any other suitable circuitry, or any combination of circuitry capable of performing the various functions described throughout this application.
Through the above description of the embodiments, it is clear for a person skilled in the art that, for convenience and simplicity of description, only the division of the above functional units is illustrated. In practical applications, the above function allocation can be performed by different functional units according to needs, that is, the internal structure of the device is divided into different functional units to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
An embodiment of the present invention further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer executes each step in the method flow shown in the foregoing method embodiment.
Embodiments of the present invention provide a computer program product comprising instructions which, when executed on a computer, cause the computer to perform the steps of the method flow illustrated in the above-described method embodiments.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, and a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read-Only Memory (EPROM), registers, a hard disk, an optical fiber, a portable Compact disk Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium, in any suitable combination, or as appropriate in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an application specific ASIC. In embodiments of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Since the traffic determination device, the computer-readable storage medium, and the computer program product provided in this embodiment may be applied to the traffic determination method provided in this embodiment, the technical effects obtained by the method may also refer to the method embodiment, and the details of the embodiment of the present invention are not repeated herein.
While the present application has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (12)
1. A road condition determining method is characterized by comprising the following steps:
acquiring the moving speed and the moving direction of each terminal device in K terminal devices moving in a target road section, wherein K is a positive integer;
screening the moving speed and the moving direction of the K terminal devices according to the moving speed and the moving direction of each terminal device in the K terminal devices and the timestamp of the same type of mobile network signaling of each terminal device in the K terminal devices, and determining the moving speeds of a plurality of vehicles in each moving direction in one or more moving directions of the target road section;
and determining the road condition of the target road section in each moving direction according to the moving speeds of the vehicles in each moving direction.
2. The method according to claim 1, wherein the obtaining of the moving speed of each of the K terminal devices moving in the target road segment comprises:
determining the length of the target road section according to the coverage radius of a base station serving the target road section and the distance between the base station and the target road section;
determining a difference value between the time when each terminal device in the K terminal devices accesses the base station and the time when each terminal device in the K terminal devices leaves the base station as the moving time of each terminal device in the K terminal devices on the target road section;
and determining the ratio of the length of the target road section to the moving time of each terminal device in the K terminal devices on the target road section as the moving speed of each terminal device in the K terminal devices.
3. The method according to claim 1 or 2, wherein the obtaining of the moving direction of each of the K terminal devices moving in the target road segment comprises:
and determining the moving direction of each terminal device in the K terminal devices according to the relative position between the base station serving the target road section and the next base station accessed after each terminal device in the K terminal devices leaves the base station and a first mapping relation, wherein the first mapping relation comprises the mapping relation between the relative position information between the base station serving the target road section and the next base station accessed after each terminal device in the K terminal devices leaves the base station and the moving direction of the terminal device on the target road section.
4. The method of claim 1, wherein the step of screening the moving speed and the moving direction of the K terminal devices according to the moving speed and the moving direction of each of the K terminal devices and the timestamp of the same type of mobile network signaling of each of the K terminal devices to determine the moving speeds of the vehicles in each of the one or more moving directions of the target road segment comprises:
determining M primary screening terminal devices according to the timestamp of the same type of mobile network signaling of each terminal device in the K terminal devices, the moving speed and the moving direction of each terminal device in the K terminal devices, wherein the timestamp and the moving speed of the same type of mobile network signaling of each terminal device in the M primary screening terminal devices are different, and the moving direction of each terminal device in the M primary screening terminal devices is the same;
and determining the moving speeds of a plurality of vehicles in each moving direction in one or more moving directions of the target road section according to the moving speed of each terminal device in the M primary screening terminal devices.
5. The method of claim 4, wherein determining the moving speed of the plurality of vehicles in each of the one or more moving directions of the target road segment from the moving speed of each of the M prescreening terminal devices comprises:
if the maximum moving speed of one or more of the M prescreening terminal devices in a first moving direction is greater than a first threshold, determining an average moving speed of one or more of the M prescreening terminal devices in the first moving direction whose moving speed is greater than the first threshold as moving speeds of a plurality of vehicles in the first moving direction on the target road segment, where the first moving direction is any one of the one or more moving directions;
or, if the maximum moving speed of one or more prescreening terminal devices in the M prescreening terminal devices in the first moving direction is not greater than the first threshold, determining an average moving speed of one or more prescreening terminal devices in the M prescreening terminal devices in the first moving direction as the moving speeds of the plurality of vehicles in the first moving direction on the target road segment.
6. A road condition determining apparatus, comprising: the device comprises an acquisition module and a determination module;
the acquisition module is used for acquiring the moving speed and the moving direction of each terminal device in K terminal devices moving in the target road section, wherein K is a positive integer;
the determining module is configured to filter the moving speeds and moving directions of the K terminal devices according to the moving speed and moving direction of each of the K terminal devices and a timestamp of a same type of mobile network signaling of each of the K terminal devices, and determine the moving speeds of a plurality of vehicles in each of one or more moving directions of the target road segment;
the determining module is further configured to determine a road condition of the target road segment in each moving direction according to the moving speeds of the plurality of vehicles in each moving direction.
7. The apparatus for determining road condition according to claim 6, wherein the acquiring module is configured to acquire a moving speed of each of the K terminal devices moving in the target road segment, and includes:
the length of the target road section is determined according to the coverage radius of a base station serving the target road section and the distance between the base station and the target road section; determining a difference value between the time when each terminal device in the K terminal devices accesses the base station and the time when each terminal device in the K terminal devices leaves the base station as the moving time of each terminal device in the K terminal devices on the target road section; and determining the ratio of the length of the target road section to the moving time of each terminal device in the K terminal devices on the target road section as the moving speed of each terminal device in the K terminal devices.
8. The apparatus according to claim 6 or 7, wherein the acquiring module is configured to acquire a moving direction of each of K terminal devices moving in the target road segment, and includes:
and determining the moving direction of each terminal device in the K terminal devices according to the relative position between the base station serving the target road segment and the next base station accessed after each terminal device in the K terminal devices leaves the base station, and a first mapping relationship, where the first mapping relationship includes a mapping relationship between the relative position information between the base station serving the target road segment and the next base station accessed after each terminal device in the K terminal devices leaves the base station, and the moving direction of the terminal device on the target road segment.
9. The traffic condition determining apparatus of claim 6, wherein the determining module is configured to determine the moving speeds of the plurality of vehicles in each of the one or more moving directions of the target road segment, and comprises:
the system comprises M primary screening terminal devices, a server and a server, wherein the M primary screening terminal devices are used for determining the M primary screening terminal devices according to the timestamp of the same type of mobile network signaling of each terminal device in the K terminal devices, the moving speed and the moving direction of each terminal device in the K terminal devices, the timestamp and the moving speed of the same type of mobile network signaling of each terminal device in the M primary screening terminal devices are different, and the moving direction of each terminal device in the M primary screening terminal devices is the same; and determining the moving speeds of a plurality of vehicles in each moving direction in one or more moving directions of the target road section according to the moving speed of each terminal device in the M primary screening terminal devices.
10. The apparatus of claim 9, wherein the determining module is configured to determine the moving speeds of the plurality of vehicles in each of one or more moving directions of the target road segment according to the moving speed of each of the M prescreening terminal devices, and the determining module comprises:
the average moving speed of one or more terminal devices with a moving speed greater than a first threshold value in one or more prescreening terminal devices in a first moving direction of the M prescreening terminal devices is determined as the moving speed of a plurality of vehicles in the first moving direction of the target road segment, if the maximum moving speed of one or more prescreening terminal devices in the first moving direction of the M prescreening terminal devices is greater than the first threshold value, and the first moving direction is any one of the one or more moving directions;
or, the determining unit is configured to determine, if a maximum moving speed of one or more prescreening terminal devices in the M prescreening terminal devices in the first moving direction is not greater than the first threshold, an average moving speed of one or more prescreening terminal devices in the first moving direction of the M prescreening terminal devices as moving speeds of a plurality of vehicles in the first moving direction on the target road segment.
11. A road condition determining apparatus, comprising: a processor;
the processor is configured to read computer-executable instructions in the memory and execute the computer-executable instructions to cause the road condition determining device to perform the method according to any one of claims 1 to 5.
12. A computer-readable storage medium, in which a computer program or instructions are stored, which, when executed by a road condition determining apparatus, implement the method according to any one of claims 1-5.
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