CN116434560B - Method, device, equipment and storage medium for identifying illegal running - Google Patents
Method, device, equipment and storage medium for identifying illegal running Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The application discloses a method, a device, equipment and a storage medium for identifying illegal running, wherein the method comprises the following steps: acquiring a current track point on a target vehicle running track and adjacent track points of the current track point, and determining at least one actual road bound with the current track point; determining an angle deviation between a vehicle running direction corresponding to the current track point and a preset running direction of each actual road, a switching result of whether the target vehicle switches the road at the current track point, and a time deviation between a predicted running time length from the current track point to the adjacent track point and an actual running time length; and determining whether the target vehicle is in illegal driving or not according to the angle deviation, the switching result and the time deviation. The method can identify the illegal behavior of the target vehicle in the running process, restrict the driver to drive normally, reduce the transportation cost and time delay and ensure the traffic safety.
Description
Technical Field
The application relates to the technical field of traffic, and particularly discloses a method, a device, equipment and a storage medium for identifying illegal running.
Background
In the logistics industry, land transportation mainly depends on trucks, and in the transportation process, the illegal behaviors frequently occur due to the reasons of irregular driving behaviors of drivers, unfamiliar traffic regulations on local road conditions, unobtrusive reminding marks, complex traffic regulations, non-conforming road planning design defects to conventional cognition and the like.
In many violations, the two yellow lines of rule breaking turn around and reverse running frequently occur in some small cities, and the accident frequently causes collision with bicycles, electric vehicles or normally running straight vehicles, so that not only is the transportation cost improved and the ageing delayed directly, but also the traffic safety of drivers and pedestrians is greatly hidden danger. Therefore, a method for identifying offending travel is needed.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for identifying illegal running, which are used for solving the problems that the illegal behavior of a vehicle in the running process can not be detected, the transportation cost is high and the time efficiency is low.
In order to solve the technical problem, in a first aspect, the present application provides a method for identifying illegal traveling, the method comprising:
acquiring a current track point on a target vehicle running track and adjacent track points of the current track point, and determining at least one actual road bound with the current track point;
determining an angle deviation between a vehicle running direction corresponding to the current track point and a preset running direction of each actual road, a switching result of whether the target vehicle switches the road at the current track point, and a time deviation between a predicted running time length from the current track point to the adjacent track point and an actual running time length;
and determining whether the target vehicle is in illegal driving or not according to the angle deviation, the switching result and the time deviation.
Optionally, determining a time deviation between the predicted running duration and the actual running duration from the current track point to the adjacent track point includes:
determining the predicted running duration according to the predicted navigation time from the current track point to the adjacent track point and the predicted traffic light waiting time;
acquiring the actual running time length from the current track point to the adjacent track point, and calculating the time consumption ratio corresponding to the current track point according to the predicted running time length and the actual running time length, wherein ,/>；
For the time consumption ratioPerforming weight conversion to obtain weight +.>As a time deviation of the predicted travel time length from the current track point to the adjacent track point from the actual travel time length, wherein +.>，；
wherein ,is->Time consumption ratio corresponding to each trace point, +.>Indicate->The predicted driving time length corresponding to each track point, < >>Representing said actual driving duration,/->Indicate->Time deviation of predicted running time from each track point to adjacent track point and actual running time, +.>Indicate->Preset weights corresponding to the track points +.>Representing a first preset time offset weight, +.>Representing a second preset time offset weight, +.>Is a positive integer.
Optionally, the determining the angular deviation between the vehicle running direction corresponding to the current track point and the preset traveling direction of each actual road includes:
acquiring an included angle between the vehicle running direction corresponding to the current track point and a preset traveling direction of each actual road；
For the included anglePerforming weight conversion to obtain weight +.>As the angular deviation between the vehicle driving direction corresponding to the current track point and the preset traveling direction of each actual road, wherein +_>；
wherein ,indicate->Angle deviation between the vehicle running direction corresponding to each track point and the preset traveling direction of each actual road,/or->Indicate->An included angle between the vehicle running direction corresponding to each track point and the preset traveling direction of each actual road, and +.>Is a positive integer.
Optionally, determining whether the target vehicle switches the road at the current track point includes:
determining at least one actual road bound with the adjacent track points;
and respectively judging whether the same actual road exists in at least one actual road bound with the adjacent track points aiming at each actual road bound with the current track point, if so, taking a first preset road switching value as a switching result of whether the target vehicle switches the current actual road at the current track point, otherwise, taking a second preset road switching value as the switching result.
Optionally, the acquiring the current track point on the driving track of the target vehicle and the adjacent track points of the current track point includes:
acquiring each track point acquired according to a preset time interval, wherein the preset time interval is positively correlated with the running speed of the target vehicle;
and selecting the current track point and the adjacent track points of the current track point from each track point.
Optionally, the method further comprises:
if the target vehicle is determined to be in the illegal running, the illegal running is not identified within the preset time.
Optionally, the determining whether the target vehicle is driving against rules according to the angle deviation, the switching result and the time deviation includes:
calculating a final deviation value corresponding to each actual road according to the angle deviation, the switching result and the time deviation;
and determining whether the target vehicle is in illegal driving or not according to the minimum value in the final deviation values and a preset deviation threshold value.
In a second aspect, the application provides an illegal driving identification device, which comprises an acquisition module, a deviation module and a judgment module, wherein:
the acquisition module is used for acquiring a current track point on a target vehicle running track and adjacent track points of the current track point, and determining at least one actual road bound with the current track point;
the deviation module is used for determining the angle deviation between the vehicle running direction corresponding to the current track point and the preset traveling direction of each actual road, the switching result of whether the target vehicle switches the road at the current track point and the time deviation between the predicted running duration from the current track point to the adjacent track point and the actual running duration;
and the judging module is used for determining whether the target vehicle runs illegally according to the angle deviation, the switching result and the time deviation.
In a third aspect, the present application provides an identification device for offensive traveling, comprising a memory and a processor, wherein:
the memory is used for storing a computer program;
the processor is configured to read the program in the memory and perform the steps of a method for identifying offending travel as provided in the first aspect above.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon a readable computer program which, when executed by a processor, implements the steps of a method for identifying offensive maneuvers as provided in the first aspect above.
Compared with the prior art, the method, the device, the equipment and the storage medium for identifying the illegal running have the following beneficial effects:
the method acquires the current track point, the adjacent track point and the actual road bound with the current track point on the running track, judges whether the target vehicle runs illegally at the current track point according to the angle deviation between the running direction of the vehicle and the preset traveling direction of the actual road, the switching result of whether the target vehicle switches the road at the current track point, the predicted running time length from the current track point to the adjacent track point and the time deviation of the actual running time length, can successfully detect the behavior of illegal lane changing, reverse running and the like of the target vehicle, restricts the driver to drive normally, and reduces the transportation cost and the time delay; in addition, compared with the recognition of the illegal behaviors through video monitoring, the method has the advantages that the calculation process is simpler, hardware equipment such as a camera is not required to be additionally arranged, and the cost is lower; finally, the identification method can be applied to analysis and monitoring of the vehicle running track, and can improve the safety and efficiency of road traffic.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is apparent that the drawings in the following description are only some embodiments of the present application, but not all embodiments, and other drawings obtained according to these drawings without inventive effort are all within the scope of the present application.
Fig. 1 is a flowchart of a method for identifying offensive traveling according to an embodiment of the present application.
Fig. 2 is a schematic diagram of an angle deviation value according to an embodiment of the present application.
Fig. 3 is a schematic diagram of a result of an apparatus for identifying offensive driving according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of an identifying device for illegal driving according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described in further detail with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
In order that the present disclosure may be more fully described and fully understood, the following description is provided by way of illustration of embodiments and specific examples of the present application; this is not the only form of practicing or implementing the application as embodied. The description covers the features of the embodiments and the method steps and sequences for constructing and operating the embodiments. However, other embodiments may be utilized to achieve the same or equivalent functions and sequences of steps. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein.
Aiming at the violations of double-yellow-line violations and reverse running of the U-turn, the embodiment of the application provides a method for identifying the running violations by analyzing the running track of the target vehicle, and the method can automatically and accurately identify the running violations, accurately position the violations of the driver, restrict the driver to drive normally, reduce the transportation cost and time delay and ensure the traffic safety.
Example 1
The execution body of the embodiment is a server, and the server may be an electronic device, such as a mobile phone, a tablet, etc., disposed on the target vehicle, or may be a server disposed in a remote control center, so as to perform remote monitoring analysis on the target vehicle.
As shown in fig. 1, a flowchart of a method for identifying offensive driving according to an embodiment of the present application includes the following steps.
Step S101, a current track point on a target vehicle running track and adjacent track points of the current track point are obtained, and at least one actual road bound with the current track point is determined;
firstly, a running track of a target vehicle is acquired, the target vehicle is the vehicle for detecting illegal running, the target vehicle is generally provided with a GPS (Global Positioning System ), the running track of the target vehicle is recorded through the GPS, and the running track is uploaded to a server.
The driving track is composed of a plurality of track points, and each track point comprises longitude and latitude of a target vehicle, driving speed of the target vehicle, and vehicle passing direction of the target vehicle, such as a direction angle and a time stamp, namely acquisition time corresponding to the track point.
In this embodiment, the server acquires each track point on the running track according to a preset time interval, which may be that the server acquires the track point in the running track in real time, or that the server acquires the track point in non-real time after the running track is generated; in the process of collecting the track points according to the preset time interval, the server may adjust the preset time interval in real time according to the running speed of the target vehicle, and collect the track points according to the preset time interval after being adjusted in real time, where the preset time interval may also be a preset fixed value, and may be specifically determined according to the actual situation, and this embodiment is not limited specifically.
As an embodiment, the acquiring the current track point on the driving track of the target vehicle and the adjacent track points of the current track point includes:
acquiring each track point acquired according to a preset time interval, wherein the preset time interval is positively correlated with the running speed of the target vehicle;
and selecting the current track point and the adjacent track points of the current track point from each track point.
For example, in this embodiment, the preset time interval is adjusted in real time according to the running speed of the target vehicle, and the longer the running speed is, the slower the running speed is, the shorter the preset time interval is, and the range of the preset time interval is [1s,30s ].
It should be noted that, in this embodiment, the GPS uploads the driving track to the server, which may be real-time uploading, that is, uploading the track point to the server immediately after the GPS collects the track point, or non-real-time uploading, which may be specifically determined according to the actual situation, which is not limited in this embodiment.
After receiving the running track of the target vehicle, the server analyzes each track point on the running track and judges whether the target vehicle runs illegally at the track point, and in this embodiment, the current track point is taken as an example for explanation.
The method comprises the steps of obtaining a current track point and an adjacent track point of the current track point on the running track, wherein the adjacent track point generally refers to a track point next to the current track point, and determining at least one actual road bound by the current track point.
When at least one actual road bound with the current track point is determined, the current track point is taken as a center point, a square with a certain preset range is used for searching the road, and the bindable actual road is determined by considering the preset travel direction and the vehicle travel direction of the road and the distance from the current track point to the road for the searched road.
For example, because the error range of the vehicle GPS is typically between 10-50 meters, this preset range may take 15-50 meters; when the included angle between the preset travel direction and the vehicle travel direction is within 120 degrees, the searched road can be used as an actual road.
It should be noted that, a current track point may bind a plurality of actual roads, and the bound actual roads are not unique.
Step S102, determining an angle deviation between a vehicle running direction corresponding to the current track point and a preset running direction of each actual road, a switching result of whether the target vehicle switches roads at the current track point, and a time deviation between a predicted running duration from the current track point to the adjacent track point and an actual running duration;
after the current track point is acquired, the vehicle running direction corresponding to the current track point is firstly extracted according to the information contained in the current track point, and an angle deviation value between the vehicle running direction and a preset traveling direction of each actual road is determined; the preset travel direction of the actual road refers to the traffic direction on the road, and since the road is determined, the preset travel direction of the actual road is also determined.
As an implementation manner, the determining the angular deviation between the vehicle running direction corresponding to the current track point and the preset traveling direction of each actual road includes:
acquiring an included angle between the vehicle running direction corresponding to the current track point and a preset traveling direction of each actual road；
For the included anglePerforming weight conversion to obtain weight +.>As the angular deviation between the vehicle driving direction corresponding to the current track point and the preset traveling direction of each actual road, wherein +_>；
wherein ,indicate->Angle deviation between the vehicle running direction corresponding to each track point and the preset traveling direction of each actual road,/or->Indicate->An included angle between the vehicle running direction corresponding to each track point and the preset traveling direction of each actual road, and +.>Is a positive integer.
As shown in fig. 2, a schematic diagram of a deviation value of a direction angle provided by an embodiment of the present application determines an included angle between a vehicle running direction corresponding to a current track point and a preset travel direction of each actual road, and then performs weight conversion on the included angle, specifically as shown in formula (1):
，（1）
wherein ,indicate->Angle deviation between the vehicle running direction corresponding to each track point and the preset traveling direction of each actual road,/or->Indicate->An included angle between the vehicle running direction corresponding to each track point and the preset traveling direction of each actual road,/and>is a positive integer.
In this embodiment, the angle deviation is obtained after the weight conversion according to the included angle between the vehicle running direction and the preset traveling direction of the actual road, and it is easy to understand that the smaller the angle deviation is, the higher the probability that the target vehicle normally runs on the actual road is, and the greater the angle deviation is, the greater the probability that the target vehicle is illegal on the actual road is, so in this embodiment, the angle deviation is taken as one of the standards for judging the illegal rule.
Then, whether the target vehicle switches the road at the current track point or not is determined according to the actual road bound by the current track point and the actual road bound by the adjacent track point.
As one embodiment, determining whether the target vehicle switches the switching result of the road at the current track point includes:
determining at least one actual road bound with the adjacent track points;
and respectively judging whether the same actual road exists in at least one actual road bound with the adjacent track points aiming at each actual road bound with the current track point, if so, taking a first preset road switching value as a switching result of whether the target vehicle switches the current actual road at the current track point, otherwise, taking a second preset road switching value as the switching result.
In the embodiment, each actual road bound by the current track point and each actual road bound by the adjacent track point are obtained, and each road corresponds to only one ID in the actual implementation process; judging whether the same actual road exists in all the actual roads bound by the current track point and all the actual roads bound by the adjacent track points, if so, indicating that the actual roads bound by the current track point and the adjacent track point are the same, and taking a first preset road switching value as a switching result when the target vehicle does not switch the road at the current track point; if the current track point does not exist, the actual road bound with the adjacent track point is different, the target vehicle has a switching road at the current track point, and a second preset road switching value is used as a switching result.
The first preset road switching value and the second preset road switching value can be determined according to actual conditions, which is not particularly limited in this embodiment.
For example, the larger the first preset road switching value is 0 and the second preset road switching value is 1, the greater the value of the switching result is, which indicates that the target vehicle is more likely to violate the rule, as shown in formula (2):
，（2）；
wherein ,indicate->And switching results of the track points.
In this embodiment, the probability of the target vehicle changing track or reversing at the current track point is determined according to the size of the switching result, so that the switching result can be used as another criterion for illegal determination.
And finally, determining the time deviation of the predicted running time from the current track point to the adjacent track point and the actual running time, wherein the predicted running time is the theoretical time spent from the current track point to the adjacent track point, the actual running time is the actual time spent from the current track point to the adjacent track point, and judging whether the target vehicle is in illegal running at the current track point according to the time deviation between the theoretical time spent and the actual time spent.
As one embodiment, determining a time deviation of a predicted travel duration from an actual travel duration from the current track point to the adjacent track point includes:
determining the predicted running duration according to the predicted navigation time from the current track point to the adjacent track point and the predicted traffic light waiting time;
acquiring the actual running time length from the current track point to the adjacent track point, and calculating the time consumption ratio corresponding to the current track point according to the predicted running time length and the actual running time length, wherein ,/>；
For the time consumption ratioPerforming weight conversion to obtain weight +.>As a time deviation of the predicted travel time length from the current track point to the adjacent track point from the actual travel time length, wherein +.>，；
wherein ,is->Time consumption ratio corresponding to each trace point, +.>Indicate->The predicted driving time length corresponding to each track point, < >>Representing said actual driving duration,/->Indicate->Time deviation of predicted running time from each track point to adjacent track point and actual running time, +.>Indicate->Corresponding to the track pointsPreset weight(s)>Representing a first preset time offset weight, +.>Representing a second preset time offset weight, +.>Is a positive integer.
Firstly, obtaining the predicted navigation time from the current track point to the adjacent track point, wherein the predicted navigation time is the navigation mileage divided by the larger speed of the adjacent track, namely the larger speed in the vehicle speeds of the current track point and the adjacent track point, and the navigation mileage can be obtained by calling route calculation; and then obtaining the waiting time of the traffic lights, wherein the waiting time of the traffic lights is determined by multiplying the average time consumption time of the traffic lights by the number of the traffic lights.
The predicted driving duration is the sum of the predicted navigation duration and the predicted traffic light waiting time, and can be specifically determined by a formula (3):
，（3）；
wherein ,is->Predicted driving time length corresponding to each track point, +.>Representing the current trajectory point,representing adjacent track points>Indicating the average time consumption of the traffic light, < > for>And indicating the waiting number of the traffic lights.
The actual running time from the current track point to the adjacent track point is obtained by subtracting the time stamp of the current track point from the time stamp of the adjacent track point, and the predicted running time and the actual running time are converted into the time consumption ratio, as shown in the formula (4):
，（4）；
wherein ,is->Time consumption ratio corresponding to each trace point, +.>Indicate->The predicted driving time length corresponding to each track point, < >>Representing the actual travel time period.
Finally, the time consumption ratio is subjected to weight conversion, and the obtained weight is obtainedAs the time bias, as shown in formula (5):
，（5）；
wherein ：
，（6）；
wherein ,indicate->Time deviation of predicted running time from each track point to adjacent track point and actual running time, +.>Indicate->Preset weights corresponding to the track points +.>Representing a first preset time offset weight, +.>Representing a second preset time offset weight, +.>Is a positive integer.
The first preset time deviation weight and the second preset time deviation weight may be determined according to actual situations, which is not specifically limited in this embodiment.
By way of example only, the process may be performed,0->1.
In the embodiment, whether the target vehicle breaks rules or not at the current road point is judged according to three aspects of angle deviation, road switching result and time deviation, the calculation process is simple, and whether the target vehicle breaks rules or not can be effectively detected; compared with video monitoring and identification, hardware devices such as a camera and the like do not need to be additionally deployed, and the cost is lower.
Step S103, determining whether the target vehicle is driving offensively according to the angle deviation, the switching result and the time deviation.
And finally, determining whether the target vehicle is illegal at the current track point according to the angle deviation, the switching result and the time deviation between the target vehicle and each actual road.
In this embodiment, according to the angle deviation, the switching result and the time deviation of each actual road, the total deviation value of each actual road is calculated, then a final deviation value is selected from the total deviation value of each actual road, and whether the target vehicle is driving illegally is determined based on the final deviation value.
As one embodiment, the determining whether the target vehicle is driving against rules according to the angle deviation, the switching result, and the time deviation includes:
calculating a final deviation value corresponding to each actual road according to the angle deviation, the switching result and the time deviation;
and determining whether the target vehicle is in illegal driving or not according to the minimum value in the final deviation values and a preset deviation threshold value.
In this embodiment, according to formula (7), determining a final deviation value corresponding to each actual road:
，（7）；
wherein ：
the larger the value is, the larger the direction deviating from the actual road direction is; />The values 0 and 1,0 represent that the adjacent track points are on the same road, and 1 represents that the adjacent track points are switched to different roads; />Is a range of values of (a)The more time consuming it is predicted to beThe larger the actual time consumption is, the larger the ratio is, which means that the possibility of driving not according to the road rules is higher.
After calculating the final deviation value corresponding to each actual road, selecting the smallest deviation value from all the deviation values, as shown in formula (8):
，（8）；
if it isGreater than a preset deviation threshold->Indicating that the target vehicle has illegal lane change.
In order to avoid the same violation from being detected for multiple times, a shortest time interval can be set, namely, after the target vehicle is detected to be in violation of a certain track point, other track points are not detected in the shortest time interval.
As an embodiment, the method further comprises:
if the target vehicle is determined to be in the illegal running, the illegal running is not identified within the preset time.
In this embodiment, the shortest time interval is a preset duration, that is, if it is detected that the target vehicle is driving against rules at the current track point, then in the preset duration after the current track point, no other track points are detected.
The preset deviation threshold may be determined according to practical situations, which is not specifically limited in this embodiment.
For example, the preset deviation threshold has a value of 3.
According to the method for identifying illegal running, provided by the application, the actual roads bound by the current track point, the adjacent track point and the current track point on the running track are collected, and whether the target vehicle runs in the current track point is judged according to the angle deviation between the running direction of the vehicle and the preset traveling direction of the actual road, the switching result of whether the target vehicle switches the road at the current track point, the predicted running time from the current track point to the adjacent track point and the time deviation of the actual running time, so that the behavior of illegal lane changing, reverse running and the like of the target vehicle can be successfully detected, the driver is restrained from normal driving, and the transportation cost and the time delay are reduced; in addition, compared with the recognition of the illegal behaviors through video monitoring, the method has the advantages that the calculation process is simpler, hardware equipment such as a camera is not required to be additionally arranged, and the cost is lower; finally, the identification method can be applied to analysis and monitoring of the vehicle running track, and can improve the safety and efficiency of road traffic.
Example 2
Based on the above method for identifying the offending traveling, an embodiment of the present application provides an apparatus for identifying the offending traveling, as shown in fig. 3, where the apparatus includes an acquisition module 301, a deviation module 302, and a judgment module 303, where:
the acquisition module 301 is configured to acquire a current track point on a driving track of a target vehicle and a track point adjacent to the current track point, and determine at least one actual road bound to the current track point;
the deviation module 302 is configured to determine an angular deviation between a vehicle running direction corresponding to the current track point and a preset running direction of each actual road, a switching result of whether the target vehicle switches the road at the current track point, and a time deviation between a predicted running duration from the current track point to the adjacent track point and an actual running duration;
the determining module 303 is configured to determine whether the target vehicle is driving against rules according to the angle deviation, the switching result, and the time deviation.
For other details of implementing the technical solution by each module in the above-mentioned device for identifying illegal running, reference may be made to the description in the method for identifying illegal running provided in the above-mentioned embodiment of the application, which is not repeated here.
Based on the above method for identifying the offensive traveling, as shown in fig. 4, an embodiment of the present application further provides a schematic structural diagram of an apparatus for identifying the offensive traveling, where the apparatus includes a processor 41 and a memory 42 coupled to the processor 41. The memory 42 stores a computer program which, when executed by the processor 41, causes the processor 41 to execute the steps of the method of identifying offensive traveling in the above-described embodiment.
For further details of the implementation of the above technical solution by the processor 41 in the above device for identifying offensive running, reference may be made to the description of the method for identifying offensive running provided in the above embodiment of the present application, which is not repeated here.
Wherein the processor 41 may also be referred to as a CPU (Central Processing Unit ), the processor 41 may be an integrated circuit chip with signal processing capability; the processor 41 may also be a general purpose processor, such as a microprocessor or the processor 41 may be any conventional processor, a DSP (Digital Signal Process, digital signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gata Array, field programmable gate array) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components.
As shown in fig. 5, an embodiment of the present application also provides a computer-readable storage medium having a readable computer program 51 stored thereon; the computer program 51 may be stored in the storage medium in the form of a software product, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a magnetic or optical disk, a ROM (Read-Only Memory), a RAM (Random Access Memory), or a terminal device such as a computer, a server, a mobile phone, or a tablet.
In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product.
The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be stored by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The above description has been made in detail for the technical solutions provided by the present application, and specific examples are applied in the present application to illustrate the principles and embodiments of the present application, and the above examples are only used to help understand the method and core ideas of the present application; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. A method for identifying offensive traveling, comprising:
acquiring a current track point on a target vehicle running track and adjacent track points of the current track point, and determining at least one actual road bound with the current track point;
determining an angle deviation between a vehicle running direction corresponding to the current track point and a preset running direction of each actual road, a switching result of whether the target vehicle switches the road at the current track point, and a time deviation between a predicted running time length from the current track point to the adjacent track point and an actual running time length;
the determining the angle deviation between the vehicle running direction corresponding to the current track point and the preset traveling direction of each actual road comprises the following steps:
acquiring an included angle between the vehicle running direction corresponding to the current track point and a preset traveling direction of each actual road；
For the included anglePerforming weight conversion to obtain weight +.>As the angular deviation between the vehicle driving direction corresponding to the current track point and the preset traveling direction of each actual road, wherein +_>；
wherein ,indicate->Angle deviation between the vehicle running direction corresponding to each track point and the preset traveling direction of each actual road,/or->Indicate->Pairs of track pointsThe included angle between the corresponding vehicle driving direction and the preset traveling direction of each actual road is +.>Is a positive integer;
determining whether the target vehicle is driving against rules according to the angle deviation, the switching result and the time deviation, including:
summing the angle deviation, the switching result and the time deviation corresponding to each actual road, and calculating a final deviation value corresponding to each actual road;
and comparing the minimum value in each final deviation value with a preset deviation threshold value, and if the minimum value is larger than the preset deviation threshold value, determining that the target vehicle is in illegal running.
2. The method of claim 1, wherein determining a time deviation of a predicted travel duration from an actual travel duration for the current track point to the adjacent track point comprises:
determining the predicted running duration according to the predicted navigation time from the current track point to the adjacent track point and the predicted traffic light waiting time;
acquiring the actual running time length from the current track point to the adjacent track point, and calculating the time consumption ratio corresponding to the current track point according to the predicted running time length and the actual running time length, wherein ,/>；
For the time consumption ratioPerforming weight conversion to obtain weight +.>As a time deviation of the predicted travel time length from the current track point to the adjacent track point from the actual travel time length, wherein +.>，/>；
wherein ,is->Time consumption ratio corresponding to each trace point, +.>Indicate->The predicted driving time length corresponding to each track point, < >>Representing said actual driving duration,/->Indicate->Time deviation of predicted running time from each track point to adjacent track point and actual running time, +.>Indicate->Preset weights corresponding to the track points +.>Representing a first preset time offset weight, +.>Representing a second preset time offset weight, +.>Is a positive integer.
3. The method of identifying offending traveling according to claim 1, characterized in that determining whether the target vehicle switches a result of switching a road at the current locus point includes:
determining at least one actual road bound with the adjacent track points;
and respectively judging whether the same actual road exists in at least one actual road bound with the adjacent track points aiming at each actual road bound with the current track point, if so, taking a first preset road switching value as a switching result of whether the target vehicle switches the current actual road at the current track point, otherwise, taking a second preset road switching value as the switching result.
4. A method for identifying a driving violation according to any one of claims 1 to 3, wherein the obtaining a current track point on a driving track of a target vehicle and a track point adjacent to the current track point includes:
acquiring each track point acquired according to a preset time interval, wherein the preset time interval is positively correlated with the running speed of the target vehicle;
and selecting the current track point and the adjacent track points of the current track point from each track point.
5. A method of identifying offensive maneuvers according to any one of claims 1 to 3, characterized in that the method further comprises:
if the target vehicle is determined to be in the illegal running, the illegal running is not identified within the preset time.
6. The device for identifying illegal running is characterized by comprising an acquisition module, a deviation module and a judgment module, wherein:
the acquisition module is used for acquiring a current track point on a target vehicle running track and adjacent track points of the current track point, and determining at least one actual road bound with the current track point;
the deviation module is used for determining the angle deviation between the vehicle running direction corresponding to the current track point and the preset traveling direction of each actual road, the switching result of whether the target vehicle switches the road at the current track point and the time deviation between the predicted running duration from the current track point to the adjacent track point and the actual running duration;
the determining the angle deviation between the vehicle running direction corresponding to the current track point and the preset traveling direction of each actual road comprises the following steps:
acquiring an included angle between the vehicle running direction corresponding to the current track point and a preset traveling direction of each actual road；
For the included anglePerforming weight conversion to obtain weight +.>As the angular deviation between the vehicle driving direction corresponding to the current track point and the preset traveling direction of each actual road, wherein +_>；
wherein ,indicate->Angle deviation between the vehicle running direction corresponding to each track point and the preset traveling direction of each actual road,/or->Indicate->An included angle between the vehicle running direction corresponding to each track point and the preset traveling direction of each actual road, and +.>Is a positive integer;
the judging module is configured to determine whether the target vehicle is driving against rules according to the angle deviation, the switching result, and the time deviation, and includes:
summing the angle deviation, the switching result and the time deviation corresponding to each actual road, and calculating a final deviation value corresponding to each actual road;
and comparing the minimum value in each final deviation value with a preset deviation threshold value, and if the minimum value is larger than the preset deviation threshold value, determining that the target vehicle is in illegal running.
7. An apparatus for identifying offensive maneuvers, comprising a memory and a processor, wherein:
the memory is used for storing a computer program;
the processor is configured to read the computer program in the memory and execute the steps of the method for identifying offending running according to any one of claims 1 to 5.
8. A computer-readable storage medium, characterized in that a readable computer program is stored thereon, which program, when being executed by a processor, implements the steps of the method for identifying offensive traveling according to any one of claims 1 to 5.
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