CN108288377B - Road condition information generation method and device - Google Patents
Road condition information generation method and device Download PDFInfo
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- CN108288377B CN108288377B CN201710015060.4A CN201710015060A CN108288377B CN 108288377 B CN108288377 B CN 108288377B CN 201710015060 A CN201710015060 A CN 201710015060A CN 108288377 B CN108288377 B CN 108288377B
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Abstract
The invention discloses a method and a device for generating road condition information, wherein the method for generating the road condition information comprises the following steps: acquiring network information of all connectable networks detected by a terminal within preset time, wherein the network information comprises a network identifier and detection time of each connectable network; screening out a target identifier of the mobile network from the network identifiers to obtain a target identifier set; calculating the occurrence duration of each target identifier in the target identifier set according to the detection time; and generating road condition information according to the target identification set and the occurrence duration. The method for generating the road condition information can be used for estimating the vehicle running speed according to the detection condition of the vehicle-mounted network so as to analyze the road condition of the current road, and is simple and high in accuracy.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a road condition information generation method and device.
Background
With the development of urbanization in China and the improvement of the living standard of people, the possession of cars is larger and larger, so that the road congestion condition is more and more serious, especially in the peak period of travel.
At present, except that governments actively adopt various policies and regulations to effectively manage and dredge the operation and planning of road traffic, so as to avoid road congestion as much as possible, various software and hardware are also developed by various large companies to monitor the operation condition of the road in real time, for example, a positioning system can be mounted on a vehicle or a mobile terminal to detect the number of vehicles running on the current road, so as to judge the congestion condition of the current road, and a user can reasonably plan a trip route of the user.
Disclosure of Invention
The invention aims to provide a road condition information generation method and a road condition information generation device, and aims to solve the technical problems that the congestion condition of the existing road is easy to misjudge and the accuracy is low.
In order to solve the above technical problems, embodiments of the present invention provide the following technical solutions:
a road condition information generation method comprises the following steps:
acquiring network information of all connectable networks detected by a terminal within preset time, wherein the network information comprises a network identifier and detection time of each connectable network;
screening out a target identification of the mobile network from the network identifications to obtain a target identification set;
calculating the occurrence duration of each target identifier in the target identifier set according to the detection time;
and generating road condition information according to the target identification set and the occurrence duration.
In order to solve the above technical problems, embodiments of the present invention further provide the following technical solutions:
a road condition information generating device comprises:
the terminal comprises an acquisition module, a detection module and a processing module, wherein the acquisition module is used for acquiring network information of all connectable networks detected by the terminal within preset time, and the network information comprises a network identifier and detection time of each connectable network;
the determining module is used for screening out a target identifier of the mobile network from the network identifiers to obtain a target identifier set;
the calculation module is used for calculating the occurrence duration of each target identifier in the target identifier set according to the detection time;
and the generating module is used for generating road condition information according to the target identification set and the occurrence duration.
According to the method and the device for generating the road condition information, the network information of all connectable networks detected by the terminal within the preset time is obtained, the network information comprises the network identification and the detection time of each connectable network, the target identification of the mobile network is screened from the network identifications to obtain a target identification set, then the occurrence duration of each target identification in the target identification set is calculated according to the detection time, and the road condition information is generated according to the target identification set and the occurrence duration, so that the road condition of the current road can be analyzed according to the detection condition of the vehicle-mounted network, and the method is simple and high in accuracy.
Drawings
The technical solution and other advantages of the present invention will become apparent from the following detailed description of specific embodiments of the present invention, which is to be read in connection with the accompanying drawings.
Fig. 1a is a scene schematic diagram of a road condition information generating system according to an embodiment of the present invention;
fig. 1b is a schematic flow chart of a method for generating road condition information according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of a method for generating road condition information according to an embodiment of the present invention;
fig. 3a is a schematic structural diagram of a road condition information generating device according to an embodiment of the present invention;
fig. 3b is another schematic structural diagram of the road condition information generating device according to the embodiment of the present invention;
fig. 4 is a schematic structural diagram of a server according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a method, a device and a system for generating road condition information.
Referring to fig. 1a, the system for generating traffic information may include any one of the traffic information generating devices provided in the embodiments of the present invention, and the traffic information generating device may be integrated in a server.
The server can acquire network information of all connectable networks detected by the terminal within preset time, the network information comprises network identifiers and detection time of each connectable network, target identifiers of the mobile networks are screened from the network identifiers to obtain a target identifier set, then the occurrence duration of each target identifier in the target identifier set is calculated according to the detection time, and road condition information is generated according to the target identifier set and the occurrence duration.
In addition, the system for generating the traffic information may further include a terminal, and the terminal may acquire the network information and send the network information to the server, so that the server generates the traffic information according to the network information.
The preset time may be determined according to actual requirements, and may be ten minutes or half an hour, for example. The connectable network refers to a Wireless-Fidelity (WiFi) network detectable by the terminal, and may include a mobile network and a non-mobile network, where the mobile network refers to a WiFi network that can be moved, and mainly includes a WiFi network provided by an automobile or an in-vehicle electronic device, such as a WiFi network provided by an automobile itself, a WiFi network provided by a tachograph, and an in-vehicle sharing WiFi network, and the non-mobile network refers to a WiFi network that is stationary, such as a WiFi network installed in a fixed location, such as a shop, a residence, an office, and the like. The terminal may include a WiFi signal detection device, where the network Identifier is mainly used to distinguish different WiFi networks, and may include Service Identifier Set (SSID) information, where each SSID is a name of a wireless local area network, and may be a name default to the device when the device leaves a factory, or may be a name customized by a user. The detection time refers to the set of all the detected time instants of each connectable network, which may include the first appearance time instant and the final disappearance time instant. The duration of occurrence is primarily a duration detectable by the connectable network within the predetermined time, which may indicate the driving speed of the vehicle. The road condition information mainly refers to road congestion conditions, which may include congestion, unblocked, upcoming congestion, upcoming unblocked and the like.
Specifically, after the terminal is installed at a specified position of a road, the terminal can periodically acquire network identifiers and detection time of all connectable networks within a certain time, and then send the network identifiers and the detection time to the server, then the server can determine a target identifier set of the mobile network according to the network identifiers, determine occurrence time according to the detection time, then generate road condition information such as road congestion, smoothness, congestion about to be acquired or smoothness about to be acquired according to the target identifier set and the occurrence time, and finally the road condition information can be sent to the user terminal through a specified network platform or acquired from the specified network platform by the user terminal.
The details will be described below separately. The numbers in the following examples are not intended to limit the order of priority of the examples.
First embodiment
In this embodiment, a description will be given from the perspective of a traffic information generating device, please refer to fig. 1b, where fig. 1b specifically describes a traffic information generating method according to a first embodiment of the present invention, which may include:
s101, network information of all connectable networks detected by a terminal within preset time is obtained, wherein the network information comprises network identification and detection time of each connectable network.
In this embodiment, the network information may be actively sent by the terminal, may also be actively obtained by the server, and may specifically be determined according to actual requirements. The preset time may be determined according to the importance of the road or the detection range of the terminal, for example, ten minutes or half hours, and the like, and generally, the more important the road or the smaller the detection range of the terminal, the shorter the preset time may be. It should be noted that the duration of the preset time is not set too long, and preferably does not exceed the duration of the whole process from traffic jam to traffic jam.
The connectable network refers to a Wireless-Fidelity (WiFi) network detectable by the terminal, and may include a mobile network and a non-mobile network, where the mobile network refers to a WiFi network capable of moving, and mainly includes a WiFi network provided by an automobile or some vehicle-mounted electronic devices, such as a WiFi network provided by a vehicle recorder and a vehicle-mounted sharing WiFi network. Non-mobile networks refer to fixed WiFi, such as WiFi installed in fixed locations such as stores, homes, offices, and the like. The terminal may include a WiFi signal detection device, which typically has a detection range, such as 10-50 meters. The network Identifier is mainly used for distinguishing different WiFi networks, and may include Service Set Identifier (SSID) information, where each SSID is a name of a wireless local area network, and may be a default name of the device when leaving a factory, or a name customized by a user, and an expression form of the SSID information may be numbers and/or chinese characters, or a combination of numbers and/or chinese characters and symbols. The detection time refers to the set of all the detected moments of each connectable network, and can be synchronized with Beijing time, and can comprise the first appearance moment and the final disappearance moment.
S102, screening out the target identification of the mobile network from the network identification to obtain a target identification set.
For example, the step S102 may specifically include:
matching each network identifier with a preset identifier;
and determining the network identifier which fails to be matched into a target identifier, and determining the connectable network corresponding to the target identifier as the mobile network.
In this embodiment, the preset identifier may be determined according to an actual requirement, and mainly refers to some non-mobile WiFi network identifiers, such as WiFi provided by a roadside merchant or a public WiFi network identifier, and the non-mobile WiFi may affect the determination of the road congestion condition, so that the non-mobile WiFi network identifiers need to be excluded. In an actual operation process, detection conditions of WiFi in a long period of time (for example, one or two days) may be obtained in advance, and if some WiFi can be detected all the time, network identifiers of the WiFi may be determined as preset identifiers and stored. Of course, to improve accuracy, such as changes to non-mobile WiFi due to certain merchant updates, the preset identifier may be updated periodically, such as once every ten days or half a month.
S103, calculating the occurrence duration of each target identifier in the target identifier set according to the detection time.
In this embodiment, the occurrence duration mainly refers to a duration detectable by the connectable network within the preset time, and may indicate a driving speed of the vehicle, generally, the longer the occurrence duration is, the slower the driving speed is, the shorter the occurrence duration is, the faster the driving speed is, and specifically, the occurrence duration may be obtained by calculating a difference between the first occurrence time and the last disappearance time.
And S104, generating road condition information according to the target identification set and the occurrence duration.
In this embodiment, the traffic information may include information that a road is congested, unblocked, about to be congested, about to be unblocked, and the like, and after the server generates the traffic information, the traffic information may be sent to the client terminal at regular time, so that the user can check the traffic information.
For example, the step S104 may specifically include:
counting the number of all target identifications in the target identification set;
judging whether the counted number is not less than a preset threshold value or not;
and if the current time is not less than the preset threshold value, generating road condition information according to the occurrence time.
In this embodiment, the preset threshold may be determined according to an actual requirement, and may be a historical minimum number of vehicles driving in a period of time when the road is congested, where the historical minimum number may be calculated manually or calculated by using an algorithm, for example, the historical minimum number may be calculated by a video vehicle flow monitoring system, specifically, a video image at a road intersection may be collected by a camera, the video image is captured continuously in a sequence, and is stored in a frame memory after analog-to-digital conversion and digitization, then, the collected sequential digital image is preprocessed (for example, filtering and denoising, image sharpening, contrast enhancement, and the like) and the preprocessed image is identified to obtain the number of vehicles, where if the preprocessed image is a collected image in the daytime, image difference processing is required and feature extraction is performed on the differentiated image, and performing vehicle identification by using the extracted features. If the preprocessed image is an image acquired at night, the vehicle is difficult to identify by using an image differential method due to the influence of the vehicle lamp, local binarization can be performed firstly in consideration of the protruding edge of the vehicle lamp, and then the vehicle lamp is detected by adopting mathematical morphology so as to realize the identification of the vehicle.
For example, the step of "generating the traffic information according to the occurrence duration" may specifically include:
1-1, comparing and analyzing each occurrence time length with a first preset time length and a second preset time length respectively, wherein the first preset time length is greater than the second preset time length;
1-2, if each occurrence time length is longer than a first preset time length, generating road condition information indicating that the road is congested;
if each occurrence time length is not greater than a second preset time length, generating road condition information indicating that the road is smooth;
if the occurrence time length longer than the first preset time length and the occurrence time length shorter than the second preset time length exist at the same time, determining the growth trend of the target identification set in the preset time according to the detection time; and generating road condition information indicating that the road is about to be congested or unblocked according to the increasing trend.
In this embodiment, the first preset time period and the second preset time period may be determined according to actual requirements, for example, according to a specified driving speed of the vehicle (usually much higher than a walking speed of a person), where the first preset time period may be a time period taken by the vehicle to pass through the terminal detection range at a lowest speed when the vehicle is not in a traffic jam, and the second preset time period may be a time period taken by the vehicle to pass through the terminal detection range at a normal driving speed (not exceeding the specified highest driving speed) when the vehicle is not in a traffic jam. This normal running speed and minimum running speed can detect out through the vehicle velocimeter, and this vehicle velocimeter can realize through the radar antenna of installation on the road, and when the vehicle was close to radar antenna, the reflection signal frequency will be higher than the transmitter frequency of radar, and when the vehicle kept away from radar antenna, the reflection signal frequency will be less than the transmitter frequency of radar, through calculating the variation value of reflection signal frequency, can calculate the speed of vehicle for radar antenna, also the speed of a motor vehicle.
Specifically, when the traveling speeds of all the vehicles are slowed to a certain extent (that is, each occurrence time period is longer than the first preset time period), it indicates that the road is seriously blocked and is not unblocked in a short time. When the running speeds of all the vehicles are increased to a certain degree (namely each occurrence time is less than the second preset time), the road is smooth at present and is not blocked in a short time. When the traveling speed of some vehicles is faster and the traveling speed of some vehicles is slower (that is, the occurrence duration longer than the first preset duration and the occurrence duration shorter than the second preset duration exist at the same time), there are many possibilities, for example, the vehicle speed is faster and slower, or those vehicles with slower speed may include vehicles parked at roadsides and the like, and at this time, in order to avoid misjudgment, the road condition information may be further analyzed according to the growth trend of the vehicles.
For example, the increasing trend mainly refers to an increasing and decreasing trend of the number, and the "determining the increasing trend of the target identifier set within the preset time according to the detection time" in step 1-2 may specifically include:
calculating the number of the target identifications in the target identification set at each moment in the preset time according to the detection time;
if the number of the target identifications at any moment is always larger than the number of the target identifications at the next moment, the determined growth trend is in a descending trend;
if the number of the target marks at any time is always smaller than the number of the target marks at the next time, the determined increasing trend is in an increasing trend.
In this embodiment, when the number of target identifiers at the previous time is always greater than the number of target identifiers at the next time, it indicates that the number of vehicles is increasing in an accumulated manner, and the number of vehicles is in an increasing trend. When the number of the target marks at the previous moment is always smaller than that at the next moment, the number of the vehicles is reduced in an accumulated mode and is in a descending trend.
For example, the step 1-2 of generating the road condition information indicating that the road is about to be congested or about to be unblocked according to the growth trend may specifically include:
when the increasing trend is a descending trend, generating road condition information indicating that the road is about to be unblocked;
when the increasing trend is an increasing trend, traffic information indicating that the road is about to be congested is generated.
In this embodiment, if the increasing trend is a descending trend, that is, the number of vehicles is decreased in an accumulated manner, the driving speed of the vehicle is faster and faster, and at this time, the road condition may be improved after congestion occurs on the road. If the increasing trend is an increasing trend, that is, the number of vehicles is increasing cumulatively, the driving speed of the vehicles is slower and slower, and at this time, the road condition may be worse and worse, and congestion is about to occur.
Certainly, in the step 1-2, if it is inferred that the road is congested within the preset time, the congestion tendency may be further analyzed according to the growth trend, so that the user may reasonably select the driving route, for example, when the growth trend is an ascending trend, the road condition information that the road congestion is aggravated may be generated, and when the growth trend is a descending trend, the road condition information that the road congestion is slowed may be generated.
In addition, in the step S104, the traffic information is generated directly according to the occurrence duration, or the occurrence duration may be processed by a specified algorithm, the traffic information is generated according to the processed data, for example, the driving speed of the vehicle may be calculated according to the detection range and the occurrence duration of the terminal, and then the traffic information is determined according to the driving speed, and so on.
As can be seen from the above, in the method for generating road condition information provided in this embodiment, network information of all connectable networks detected by the terminal within a preset time is obtained, where the network information includes a network identifier of each connectable network and a detection time, a target identifier of the mobile network is screened from the network identifiers to obtain a target identifier set, then an occurrence duration of each target identifier in the target identifier set is calculated according to the detection time, and road condition information is generated according to the target identifier set and the occurrence duration, so that a vehicle driving speed can be inferred according to a detection condition of a vehicle-mounted network, and a road condition of a current road can be analyzed.
Second embodiment
The method described in the first embodiment is further illustrated by way of example.
In this embodiment, a detailed description will be given by taking an example in which the traffic information generating device is integrated in the server.
As shown in fig. 2, a method for generating road condition information may specifically include the following steps:
s201, the server acquires network information of all connectable networks detected by the terminal within preset time, wherein the network information comprises network identification and detection time of each connectable network.
For example, the connectable network may include a mobile network and a non-mobile network. The terminal can be a WiFi detection device, the WiFi detection device can detect all network names which can be connected with WiFi within half an hour, network information such as the first appearing time and the final disappearing time of each connectable WiFi is obtained, and the network information is sent to the server.
S202, the server matches each network identifier with a preset identifier, and determines all network identifiers which fail to be matched as a target identifier set of the mobile network.
For example, if the acquired network identifier includes { A }1，A2，A3…AnAnd the preset mark comprises A provided by a roadside shop1And A2Then the target identification set is { A }3…An}。
S203, the server calculates the occurrence duration t of each target identifier in the target identifier set according to the detection timeiAnd counting the number of all target identifications.
For example, the server may calculate { A }3…AnIn (A)iThe first appearance time and the final disappearance time of the WiFi to obtain the appearance time (t) of all the connectable WiFi3...tn) And counting the total number M of the target identifications in half an hour, wherein i belongs to (3 … n).
S204, the server determines whether the counted number is not less than a preset threshold, if so, the following step S205 may be executed, and if not, the following step S206 may be executed.
For example, the preset threshold may be the lowest historical number of vehicles traveling within half an hour of a road congestion, for example, 15, where if M is greater than or equal to 15, it indicates that there is a possibility of a road congestion, and further analysis is required, and if M is less than 15, it indicates that the road is clear.
S205, the server sends each occurrence time length tiAre compared and analyzed with a first preset time length T1 and a second preset time length T2 respectively, wherein T1 is more than T2, if each T isiIf T1 is greater, step S207 is executed, if every TiT2 ≦ T, then step S207 is performed, as described below, if T is presentj> T1 and TkT2, the following steps S208-S209, j, k e (3 … n) are performed.
For example, the first preset time period T1 may be a time period taken for the vehicle to pass through the terminal detection range at the historical lowest driving speed without traffic congestion, for example, may be 7 minutes, and the second preset time period T2 may be a time period taken for the vehicle to pass through the detection range at the normal driving speed without traffic congestion, for example, may be 4 minutes. If { t3…tnIf the speed is larger than T1, the driving speed of all vehicles is too slow, and if T is larger than T1, the driving speed of all vehicles is too slow3…tnAnd if the speed is less than T2, the driving speed of all vehicles is too high.
S206, the server generates road condition information indicating that the road is smooth.
For example, when all vehicles are traveling at too high a speed, the road is clear and will not be congested in a short time.
And S207, the server generates road condition information indicating that the road is congested.
For example, when all vehicles are traveling too slowly, it is said that the road is heavily congested and will not be clear for a short period of time.
And S208, the server determines the growth trend of the target identification set in the preset time according to the detection time.
For example, the server may count the number of object identifiers { M } for each time instant3…MnAnd identifying the number M of the targets at any timejThe number M of target identifiers at the previous time (or the next time)j-1(Mj+1) Performing comparative analysis, if the target identification number M of the previous momentj-1Are all larger than the target identification number M at the next momentjThe determined growth trend is in a descending trend, and if the target identification number M at the previous momentj-1Are all smaller than the target identification number M at the next momentjThe determined growth trend is an upward trend.
S209, when the increasing trend is a descending trend, the server generates road condition information indicating that the road is about to be unblocked; when the increasing trend is an increasing trend, the server generates traffic information indicating that the road is about to be congested.
For example, if Mj＞Mj-1Then the number of vehicles is reduced in the accumulation, the road is about to be unblocked, if M isj＜Mj-1Then the number of vehicles is increasing cumulatively and the road will be congested.
As can be seen from the above, in the method for generating road condition information provided in this embodiment, the server may obtain network information of all connectable networks detected by the terminal within a preset time, where the network information includes a network identifier of each connectable network and a detection time, match each network identifier with the preset identifier, determine all network identifiers that fail to be matched as a target identifier set of the mobile network, and then calculate an occurrence duration t of each target identifier in the target identifier set according to the detection timeiCounting the number of all target marks, judging whether the counted number is not less than a preset threshold value, if not, generating road condition information indicating that a road is smooth, and if so, setting each occurrence time length tiAre compared and analyzed with a first preset time period T1 and a second preset time period T2, wherein T1 is more than T2, if each TiIf T1 is greater, the road condition information indicating that the road is congested is generated, if every TiIf T2 is less than or equal to, generating road condition information indicating that the road is unblocked, and if T existsj> T1 and TkAnd if the increase trend is less than or equal to T2, determining the increase trend of the target identifier in the preset time according to the detection time, generating road condition information indicating that the road is about to be unblocked when the increase trend is a descending trend, and generating road condition information indicating that the road is about to be blocked when the increase trend is an ascending trend, so that the driving speed of the vehicle and the increase trend of the vehicle can be estimated according to the detection condition of the vehicle-mounted network, and further the road condition of the current road can be analyzed.
Third embodiment
According to the methods described in the first and second embodiments, the present embodiment will be further described from the perspective of a traffic information generating device, which may be integrated in a server.
Referring to fig. 3a, fig. 3a specifically illustrates a traffic information generating device according to a third embodiment of the present invention, which may include: an obtaining module 10, a determining module 20, a calculating module 30 and a generating module 40, wherein:
(1) acquisition module 10
The acquiring module 10 is configured to acquire network information of all connectable networks detected by the terminal within a preset time, where the network information includes a network identifier and a detection time of each connectable network.
In this embodiment, the network information may be actively sent by the terminal, may also be actively obtained by the server, and may specifically be determined according to actual requirements. The preset time may be determined according to the importance of the road or the detection range of the terminal, for example, ten minutes or half hours, and the like, and generally, the more important the road or the smaller the detection range of the terminal, the shorter the preset time may be. It should be noted that the duration of the preset time is not set too long, and preferably does not exceed the duration of the whole process from traffic jam to traffic jam.
The connectable network refers to a Wireless-Fidelity (WiFi) network detectable by the terminal, and may include a mobile network and a non-mobile network, where the mobile network refers to a WiFi network capable of moving, and mainly includes a WiFi network provided by an automobile or some vehicle-mounted electronic devices, such as a WiFi network provided by a vehicle recorder and a vehicle-mounted sharing WiFi network. Non-mobile networks refer to fixed WiFi, such as WiFi installed in fixed locations such as stores, homes, offices, and the like. The terminal may include a WiFi signal detection device, which typically has a detection range, such as 10-50 meters. The network Identifier is mainly used for distinguishing different WiFi networks, and may include Service Set Identifier (SSID) information, where each SSID is a name of a wireless local area network, and may be a name default to the device when the device leaves a factory, or a name customized by a user. The detection time refers to the set of all the detected time instants of each connectable network, which may include the first appearance time instant and the final disappearance time instant.
(2) Determination module 20
A determining module 20, configured to determine a target identifier according to the network identifier.
For example, the determining module 20 may be specifically configured to:
matching each network identifier with a preset identifier;
and determining the network identifier which fails to be matched into a target identifier, and determining the connectable network corresponding to the target identifier as the mobile network.
In this embodiment, the preset identifier may be determined according to an actual requirement, and mainly refers to some non-mobile WiFi network identifiers, such as WiFi provided by a roadside merchant or a public WiFi network identifier, and the non-mobile WiFi may affect the determination of the road congestion condition, so that the non-mobile WiFi network identifiers need to be excluded. In an actual operation process, detection conditions of WiFi in a long period of time (for example, one or two days) may be obtained in advance, and if some WiFi can be detected all the time, network identifiers of the WiFi may be determined as preset identifiers and stored. Of course, to improve accuracy, such as changes to non-mobile WiFi due to certain merchant updates, the preset identification may be updated periodically, such as once every ten days or half a month.
(3) Calculation module 30
And the calculating module 30 is configured to calculate an occurrence duration of each target identifier in the target identifier set according to the detection time.
In this embodiment, the occurrence duration mainly refers to a duration detectable by the connectable network within the preset time, and may indicate a driving speed of the vehicle, generally, the longer the occurrence duration is, the slower the driving speed is, the shorter the occurrence duration is, the faster the driving speed is, and specifically, the occurrence duration may be obtained by calculating a difference between the first occurrence time and the last disappearance time.
(4) Generating module 40
And the generating module 40 is configured to generate the road condition information according to the target identifier set and the occurrence duration.
For example, referring to fig. 3b, the generating module 40 may specifically include a statistics sub-module 41, a judgment sub-module 42, and a generating sub-module 43, where:
and a statistic submodule 41, configured to count the number of all target identifiers in the target identifier set.
And a judging submodule 42, configured to judge whether the counted number is greater than a preset threshold.
In this embodiment, the preset threshold may be determined according to an actual requirement, and may be a historical minimum number of vehicles driving in a period of time when the road is congested, where the historical minimum number may be calculated manually or calculated by using an algorithm, for example, the historical minimum number may be calculated by a video vehicle flow monitoring system, specifically, a video image at a road intersection may be collected by a camera, the video image is captured continuously in a sequence, and is stored in a frame memory after analog-to-digital conversion and digitization, then, the collected sequential digital image is preprocessed (for example, filtering and denoising, image sharpening, contrast enhancement, and the like) and the preprocessed image is identified to obtain the number of vehicles, where if the preprocessed image is a collected image in the daytime, image difference processing is required and feature extraction is performed on the differentiated image, and performing vehicle identification by using the extracted features. If the preprocessed image is an image acquired at night, it is difficult to identify the vehicle by using an image differential method due to the influence of the vehicle lamp, and local binarization can be performed firstly in consideration of the protruding edge of the vehicle lamp, and then the vehicle lamp is detected by adopting mathematical morphology so as to realize the identification of the vehicle.
And the generating submodule 43 is configured to generate the road condition information according to the occurrence duration if the occurrence duration is greater than the preset threshold.
In this embodiment, the traffic information may include information that the road is congested, unblocked, and is about to be congested and unblocked, and after the generating sub-module 43 generates the traffic information, the traffic information may be sent to the client terminal at regular time, so that the user can check the traffic information.
For example, the generating submodule 43 may specifically include:
the comparison unit is used for comparing and analyzing each occurrence time length with a first preset time length and a second preset time length respectively, wherein the first preset time length is greater than the second preset time length;
the first generation unit is used for generating road condition information indicating that a road is congested if each occurrence time length is greater than a first preset time length;
the second generation unit is used for generating road condition information indicating that the road is smooth if each occurrence time length is less than a second preset time length;
a third generating unit, configured to determine, if an occurrence duration longer than the first preset duration and an occurrence duration shorter than a second preset duration exist at the same time, a growth trend of the target identifier set within the preset time according to the detection time; and generating road condition information indicating that the road is about to be congested or unblocked according to the increasing trend.
In this embodiment, the first preset time period and the second preset time period may be determined according to actual requirements, for example, according to a specified driving speed of the vehicle (usually much higher than a walking speed of a person), where the first preset time period may be a time period taken by the vehicle to pass through the terminal detection range at a lowest speed when the vehicle is not in a traffic jam, and the second preset time period may be a time period taken by the vehicle to pass through the terminal detection range at a normal driving speed (not exceeding the specified highest driving speed) when the vehicle is not in a traffic jam. This normal running speed and minimum running speed can detect out through the vehicle velocimeter, and this vehicle velocimeter can realize through the radar antenna of installation on the road, and when the vehicle was close to radar antenna, the reflection signal frequency will be higher than the transmitter frequency of radar, and when the vehicle kept away from radar antenna, the reflection signal frequency will be less than the transmitter frequency of radar, through calculating the variation value of reflection signal frequency, can calculate the speed of vehicle for radar antenna, also the speed of a motor vehicle.
Specifically, when the traveling speeds of all the vehicles are slowed to a certain extent (that is, each occurrence time period is longer than the first preset time period), it indicates that the road is seriously blocked and is not unblocked in a short time. When the running speeds of all the vehicles are increased to a certain degree (namely each occurrence time is less than the second preset time), the road is smooth at present and is not blocked in a short time. When the traveling speed of some vehicles is faster and the traveling speed of some vehicles is slower (that is, the occurrence duration longer than the first preset duration and the occurrence duration shorter than the second preset duration exist at the same time), there are many possibilities, for example, the vehicle speed is faster and slower, or those vehicles with slower speed may include vehicles parked at roadsides and the like, and at this time, in order to avoid misjudgment, the road condition information may be further analyzed according to the growth trend of the vehicles.
For example, the growing trend mainly refers to an increasing and decreasing trend of the number, and the third generating unit may be configured to:
calculating the number of the target identifications in the target identification set at each moment in the preset time according to the detection time;
if the number of the target identifications at any moment is always larger than the number of the target identifications at the next moment, the determined growth trend is in a descending trend;
if the number of the target marks at any time is always smaller than the number of the target marks at the next time, the determined increasing trend is in an increasing trend.
In this embodiment, when the number of target identifiers at the previous time is always greater than the number of target identifiers at the next time, it indicates that the number of vehicles is increasing in an accumulated manner, and the number of vehicles is in an increasing trend. When the number of the target marks at the previous moment is always smaller than that at the next moment, the number of the vehicles is reduced in an accumulated mode and is in a descending trend.
For example, the third generation unit may be configured to:
when the increasing trend is a descending trend, generating road condition information indicating that the road is about to be unblocked;
when the increasing trend is an increasing trend, traffic information indicating that the road is about to be congested is generated.
In this embodiment, if the increasing trend is a descending trend, that is, the number of vehicles is decreased in an accumulated manner, the driving speed of the vehicle is faster and faster, and at this time, the road condition may be improved after congestion occurs on the road. If the increasing trend is an increasing trend, that is, the number of vehicles is increasing cumulatively, the driving speed of the vehicles is slower and slower, and at this time, the road condition may be worse and worse, and congestion is about to occur.
Of course, after the first generating unit deduces that the road has been congested within the preset time, the congestion tendency may be further analyzed according to the growth trend, so that the user may reasonably select the driving route, for example, when the growth trend is an ascending trend, the first generating unit may generate the road condition information where the road congestion is aggravated, and when the growth trend is a descending trend, the first generating unit may generate the road condition information where the road congestion is slowed down.
In addition, the generating module 40 generates the traffic information directly according to the occurrence duration, the generating module 40 may also process the occurrence duration through a specified algorithm, generate the traffic information according to the processed data, for example, calculate the driving speed of the vehicle according to the detection range and the occurrence duration of the terminal, and then judge the traffic information according to the driving speed, and so on.
In a specific implementation, the above units may be implemented as independent entities, or may be combined arbitrarily to be implemented as the same or several entities, and the specific implementation of the above units may refer to the foregoing method embodiments, which are not described herein again.
As can be seen from the above, in the server provided in this embodiment, the obtaining module 10 obtains network information of all connectable networks detected by the terminal within a preset time, where the network information includes a network identifier of each connectable network and a detection time, the determining module 20 screens out a target identifier of the mobile network from the network identifiers to obtain a target identifier set, then the calculating module 30 determines an occurrence duration of each target identifier in the target identifier set according to the detection time, and the generating module 40 generates road condition information according to the target identifier set and the occurrence duration, so that a vehicle driving speed can be estimated according to a detection condition of the vehicle-mounted network, and a current road condition can be analyzed.
Fourth embodiment
Correspondingly, the embodiment of the present invention further provides a system for generating road condition information, including any one of the road condition information generating devices provided in the embodiments of the present invention, and the concrete examples of the road condition information generating device can refer to embodiment three.
The server can acquire network information of all connectable networks detected by the terminal within preset time, wherein the network information comprises a network identifier and detection time of each connectable network; screening out a target identifier of the mobile network from the network identifiers to obtain a target identifier set; calculating the occurrence duration of each target identifier in the target identifier set according to the detection time; and generating road condition information according to the target identification set and the occurrence duration.
In addition, the system for generating the road condition information may further include a terminal, and the terminal may detect network information of all connectable networks within a preset time and send the network information to the server.
The specific implementation of each device can be referred to the previous embodiment, and is not described herein again.
Since the system for generating road condition information may include any one of the road condition information generating devices provided in the embodiments of the present invention, the beneficial effects that can be achieved by any one of the road condition information generating devices provided in the embodiments of the present invention can be achieved, which are detailed in the foregoing embodiments and will not be described herein again.
Fifth embodiment
Correspondingly, an embodiment of the present invention further provides a server, as shown in fig. 4, which shows a schematic structural diagram of the server according to the embodiment of the present invention, specifically:
the server may include components such as a processor 501 of one or more processing cores, memory 502 of one or more computer-readable storage media, Radio Frequency (RF) circuitry 503, a power supply 504, an input unit 505, and a display unit 506. Those skilled in the art will appreciate that the server architecture shown in FIG. 4 is not meant to be limiting, and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the processor 501 is a control center of the server, connects various parts of the entire server by various interfaces and lines, and performs various functions of the server and processes data by running or executing software programs and/or modules stored in the memory 502 and calling data stored in the memory 502, thereby performing overall monitoring of the server. Optionally, processor 501 may include one or more processing cores; preferably, the processor 501 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 501.
The memory 502 may be used to store software programs and modules, and the processor 501 executes various functional applications and data processing by operating the software programs and modules stored in the memory 502. The memory 502 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to the use of the server, and the like. Further, the memory 502 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 502 may also include a memory controller to provide the processor 501 with access to the memory 502.
The RF circuit 503 may be used for receiving and transmitting signals during information transmission and reception, and in particular, for receiving downlink information of a base station and then processing the received downlink information by one or more processors 501; in addition, data relating to uplink is transmitted to the base station. In general, the RF circuitry 503 includes, but is not limited to, an antenna, at least one Amplifier, a tuner, one or more oscillators, a Subscriber Identity Module (SIM) card, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuitry 503 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Message Service (SMS), and the like.
The server also includes a power supply 504 (e.g., a battery) for powering the various components, and preferably, the power supply 504 is logically connected to the processor 501 via a power management system, such that functions of managing charging, discharging, and power consumption are performed via the power management system. The power supply 504 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
The server may further include an input unit 505, and the input unit 505 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. In particular, in one particular embodiment, input unit 505 may include a touch-sensitive surface as well as other input devices. The touch-sensitive surface, also referred to as a touch display screen or a touch pad, may collect touch operations by a user (e.g., operations by a user on or near the touch-sensitive surface using a finger, a stylus, or any other suitable object or attachment) thereon or nearby, and drive the corresponding connection device according to a predetermined program. Alternatively, the touch sensitive surface may comprise two parts, a touch detection means and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 501, and can receive and execute commands sent by the processor 501. In addition, touch sensitive surfaces may be implemented using various types of resistive, capacitive, infrared, and surface acoustic waves. The input unit 505 may include other input devices in addition to a touch-sensitive surface. In particular, other input devices may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The server may also include a display unit 506, and the display unit 506 may be used to display information input by the user or provided to the user, as well as various graphical user interfaces of the server, which may be made up of graphics, text, icons, video, and any combination thereof. The Display unit 506 may include a Display panel, and optionally, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch-sensitive surface may overlay the display panel, and when a touch operation is detected on or near the touch-sensitive surface, the touch operation is transmitted to the processor 501 to determine the type of the touch event, and then the processor 501 provides a corresponding visual output on the display panel according to the type of the touch event. Although in FIG. 4 the touch-sensitive surface and the display panel are shown as two separate components to implement input and output functions, in some embodiments the touch-sensitive surface may be integrated with the display panel to implement input and output functions.
Although not shown, the server may further include a camera, a bluetooth module, etc., which will not be described herein. Specifically, in this embodiment, the processor 501 in the server loads the executable file corresponding to the process of one or more application programs into the memory 502 according to the following instructions, and the processor 501 runs the application program stored in the memory 502, thereby implementing various functions as follows:
acquiring network information of all connectable networks detected by a terminal within preset time, wherein the network information comprises a network identifier and detection time of each connectable network;
screening out a target identifier of the mobile network from the network identifiers to obtain a target identifier set;
calculating the occurrence duration of each target identifier in the target identifier set according to the detection time;
and generating road condition information according to the target identification set and the occurrence duration.
The implementation method of the above operations may specifically refer to the above embodiments, and details are not described herein.
The server can achieve the effective effect that can be achieved by any road condition information generating device provided by the embodiment of the present invention, which is detailed in the foregoing embodiments and not described herein again.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
The method, the device and the system for generating road condition information provided by the embodiment of the invention are described in detail, a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (9)
1. A method for generating road condition information is characterized by comprising the following steps:
acquiring network information of all connectable networks detected by a terminal within preset time, wherein the network information comprises a network identifier and detection time of each connectable network, the detection time refers to a set of all detected moments of each connectable network, and the detection time comprises a first appearing moment and a final disappearing moment;
screening out a target identification of the mobile network from the network identifications to obtain a target identification set;
calculating the appearance time of each target identifier in the target identifier set according to the detection time, wherein the appearance time is obtained by calculating the difference between the first appearance time and the final disappearance time;
generating road condition information according to the target identification set and the occurrence duration;
the generating of the road condition information according to the occurrence duration includes:
comparing and analyzing each occurrence time length with a first preset time length and a second preset time length respectively, wherein the first preset time length is greater than the second preset time length;
if each occurrence time length is longer than a first preset time length, generating road condition information indicating that the road is congested;
if each occurrence time length is not greater than a second preset time length, generating road condition information indicating that the road is smooth;
if the occurrence time length longer than a first preset time length and the occurrence time length shorter than a second preset time length exist at the same time, determining the growth trend of the target identification set in the preset time according to the detection time; and generating road condition information indicating that the road is about to be congested or about to be unblocked according to the growth trend.
2. The method for generating road condition information according to claim 1, wherein the generating road condition information according to the target identifier set and the occurrence duration includes:
counting the number of all target identifications in the target identification set;
judging whether the counted number is not less than a preset threshold value or not;
and if the current time is not less than the preset threshold value, generating road condition information according to the occurrence time.
3. The method for generating road condition information according to claim 2, wherein the generating road condition information indicating that a road is about to be congested or about to be unblocked according to the growth trend comprises:
when the increasing trend is a descending trend, generating road condition information indicating that the road is about to be unblocked;
and when the increasing trend is an increasing trend, generating road condition information indicating that the road is about to be congested.
4. The method as claimed in any one of claims 1 to 3, wherein the step of screening the target identifier of the mobile network from the network identifiers comprises:
matching each network identifier with a preset identifier;
and determining the network identifier failed to be matched as a target identifier, and determining a connectable network corresponding to the target identifier as a mobile network.
5. A road condition information generating device is characterized by comprising:
the terminal comprises an acquisition module, a detection module and a processing module, wherein the acquisition module is used for acquiring network information of all connectable networks detected by the terminal within preset time, the network information comprises a network identifier and detection time of each connectable network, the detection time refers to all detected time sets of each connectable network, and the detection time comprises a first appearing time and a final disappearing time;
the determining module is used for screening out a target identifier of the mobile network from the network identifiers to obtain a target identifier set;
the calculation module is used for calculating the appearance time of each target identifier in the target identifier set according to the detection time, wherein the appearance time is obtained by calculating the difference between the first appearance time and the final disappearance time;
the generating module is used for generating road condition information according to the target identification set and the occurrence duration;
the generation submodule includes:
the comparison unit is used for comparing and analyzing each occurrence time length with a first preset time length and a second preset time length respectively, wherein the first preset time length is greater than the second preset time length;
the first generation unit is used for generating road condition information indicating that a road is congested if each occurrence time length is greater than a first preset time length;
the second generation unit is used for generating road condition information indicating that the road is unblocked if each occurrence time length is not greater than a second preset time length;
a third generating unit, configured to determine, according to the detection time, a growth trend of the target identifier set within the preset time if an occurrence duration longer than a first preset duration and an occurrence duration shorter than a second preset duration simultaneously exist; and generating road condition information indicating that the road is about to be congested or about to be unblocked according to the growth trend.
6. The apparatus for generating road condition information according to claim 5, wherein the generating module comprises:
the counting submodule is used for counting the number of all the target identifications in the target identification set;
the judgment submodule is used for judging whether the counted number is not less than a preset threshold value or not;
and the generation submodule is used for generating the road condition information according to the occurrence duration if the occurrence duration is not less than a preset threshold value.
7. The apparatus for generating road condition information according to claim 6, wherein the third generating unit is configured to:
when the increasing trend is a descending trend, generating road condition information indicating that the road is about to be unblocked;
and when the increasing trend is an increasing trend, generating road condition information indicating that the road is about to be congested.
8. The apparatus for generating road condition information according to claim 6 or 7, wherein the determining module is configured to:
matching each network identifier with a preset identifier;
and determining the network identifier failed to be matched as a target identifier, and determining a connectable network corresponding to the target identifier as a mobile network.
9. A computer-readable storage medium storing a computer program, which, when run on a computer, causes the computer to execute the method for generating road condition information according to any one of claims 1 to 4.
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| CN113075487A (en) * | 2021-03-31 | 2021-07-06 | 读书郎教育科技有限公司 | Method for controlling aging test duration in factory |
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