A method and system for identifying non-motor vehicle reverse personnel based on mobile phone signaling

Abstract

The application provides a non-motor vehicle reverse personnel identification method and system based on mobile phone signaling. The method is to obtain monitoring videos of multiple roads in a day and a first mobile phone signaling set in the range of the roads; to determine a second mobile phone signaling set from the first mobile phone signaling set; to judge whether the number of mobile phone signaling in the second mobile phone signaling set is less than a number threshold; if yes, to take the second mobile phone signaling set as a first suspected reverse mobile phone signaling set; otherwise, to take the mobile phone signaling with a total number greater than a preset total number threshold in the second mobile phone signaling set as a first target mobile phone signaling; in the case that the driver holding the first target mobile phone signaling appears in the multiple road monitoring videos in a day more than a first number threshold, to record the first target mobile phone signaling into a second suspected reverse mobile phone signaling set; and to take the first and second suspected reverse mobile phone signaling sets as a final suspected reverse mobile phone signaling set. The application screens the mobile phone signaling of the reverse personnel from multiple angles, and enhances the comprehensiveness of the screening result.

Description

Technical Field

[0001] This invention belongs to the field of traffic management technology, and in particular relates to a method and system for identifying non-motorized vehicles traveling in the wrong direction based on mobile phone signaling. Background Technology

[0002] With the acceleration of urbanization, residents' travel methods have become more diversified. Non-motorized vehicles have advantages such as being green, environmentally friendly, and convenient, and more and more people are willing to choose non-motorized vehicles for travel. In addition, the emergence of shared bicycles and shared electric vehicles has led to a year-on-year increase in the usage rate of non-motorized vehicles. Although driving non-motorized vehicles has greatly facilitated people's travel, the phenomenon of non-motorized vehicles going against the flow of traffic is also increasing, which is gradually becoming a problem for urban traffic management.

[0003] In existing technologies, the identification of non-motorized vehicle riders traveling against traffic typically utilizes video surveillance resources on urban roads. Artificial intelligence algorithms automatically record and identify this behavior. The system automatically captures images of the violation based on the angle and size of the scene recorded by the cameras, and identifies the vehicle owner by recognizing the license plate. Alternatively, it may involve facial recognition to directly determine the rider's identity.

[0004] However, existing identification methods have some problems in application: due to the inconsistent image quality of cameras on urban roads, many cameras cannot clearly capture the license plate of non-motorized vehicles and the face of the drivers. In particular, when drivers are wearing helmets and masks at the same time, the accuracy of identifying non-motorized vehicles traveling against the flow of traffic is significantly reduced, or even impossible to identify the individuals traveling against the flow of traffic. Summary of the Invention

[0005] This invention addresses the shortcomings of existing technologies by providing a method and system for identifying non-motorized vehicles traveling in the wrong direction based on mobile phone signaling.

[0006] In a first aspect, the present invention provides a method for identifying non-motorized vehicles traveling in the wrong direction based on mobile phone signaling, comprising:

[0007] Acquire surveillance videos of multiple roads within a day, as well as the first mobile phone signaling set of non-motorized vehicle drivers within the area of ​​multiple roads within a day;

[0008] Obtain the time and location of any instances of reverse movement within a single day;

[0009] The second mobile signaling set is determined from the first mobile signaling set based on the time of the reverse traffic occurrence and the location of the monitoring.

[0010] Determine whether the number of mobile signaling messages in the second mobile signaling set is less than a preset threshold.

[0011] If the number is less than the threshold, the second mobile phone signaling set will be used as the first suspected reverse mobile phone signaling set.

[0012] If the number is not less than the threshold, then the mobile signaling in the second mobile signaling set that has a total number greater than the preset threshold will be used as the first target mobile signaling.

[0013] If a driver holding the first target mobile phone signaling appears more than the preset first number threshold in multiple road surveillance videos within a day, the first target mobile phone signaling will be entered into the second suspected wrong-way driving mobile phone signaling set;

[0014] The union of the first suspected reverse-transaction mobile signaling set and the second suspected reverse-transaction mobile signaling set is used as the final suspected reverse-transaction mobile signaling set to determine the holder of each mobile signaling message in the final suspected reverse-transaction mobile signaling set.

[0015] Furthermore, the method for identifying non-motorized vehicles traveling in the wrong direction based on mobile phone signaling also includes:

[0016] Mobile phone signaling that exceeds the preset second threshold for the number of times it travels in reverse at the target location within the target time period will be entered into the third set of suspected reverse mobile phone signaling;

[0017] The union of the first suspected reverse-transaction mobile signaling set, the second suspected reverse-transaction mobile signaling set, and the third suspected reverse-transaction mobile signaling set is taken as the final suspected reverse-transaction mobile signaling set, in order to determine the holder of each mobile signaling in the final suspected reverse-transaction mobile signaling set.

[0018] Furthermore, determining the second mobile signaling set from the first mobile signaling set based on the time of the reverse movement and the location of the monitoring includes:

[0019] Step 301: Determine the duration T of the time period in which the retrograde occurs. d ;

[0020] Step 302, obtain the time T of the nth retrograde occurrence. n Corresponding mobile signaling set A n ;

[0021] Step 303, in T n +T d The memory is running in reverse and the mobile signaling set A n Corresponding road monitoring and T n +T d If the distance to the location of the road surveillance camera corresponding to the wrong-way traffic is less than a preset distance threshold, then determine T. n +T d The memory corresponds to the mobile phone signaling set A in reverse. n+1 With mobile signaling set A n Does there exist an intersection B? n ;

[0022] Step 304, if there is an intersection B n Then repeat steps 502-503, and use all intersections as the second mobile signaling set;

[0023] Step 305, if there is no intersection B n Then in mobile signaling set A n If the number is less than a preset threshold, the mobile signaling set A will be... n As a second mobile signaling set.

[0024] Secondly, the present invention provides a non-motorized vehicle passenger identification system based on mobile phone signaling, comprising:

[0025] The first acquisition module is used to acquire surveillance videos of multiple roads within a day and the first mobile phone signaling set of non-motorized vehicle drivers within the range of multiple roads within a day.

[0026] The second acquisition module is used to obtain the time when the reverse movement occurs within a day and the location of the monitoring.

[0027] The first determining module is used to determine the second mobile signaling set from the first mobile signaling set based on the time of the reverse traffic occurrence and the location of the monitoring;

[0028] The judgment module is used to determine whether the number of mobile signaling messages in the second mobile signaling set is less than a preset threshold.

[0029] The second determining module is used to determine the second mobile signaling set as the first suspected reverse mobile signaling set when the determining module determines that the number of mobile signaling in the second mobile signaling set is less than a preset number threshold.

[0030] The third determining module is used to determine, when the determining module determines that the number of mobile phone signaling in the second mobile phone signaling set is not less than a preset number threshold, that the mobile phone signaling in the second mobile phone signaling set with a total number greater than the preset number threshold shall be used as the first target mobile phone signaling.

[0031] The first signaling input module is used to input the first target mobile phone signaling into the second suspected wrong-way mobile phone signaling set when the number of times a driver holding the first target mobile phone signaling appears in multiple road monitoring videos within a day exceeds a preset first number threshold.

[0032] The fourth determination module is used to take the union of the first suspected reverse-traffic mobile phone signaling set and the second suspected reverse-traffic mobile phone signaling set as the final suspected reverse-traffic mobile phone signaling set, so as to determine the holder of each mobile phone signaling in the final suspected reverse-traffic mobile phone signaling set.

[0033] Furthermore, the non-motorized vehicle passenger identification system based on mobile phone signaling also includes:

[0034] The second signaling input module is used to input the mobile phone signaling of mobile phones that have exceeded the preset second threshold number of reverse trips within the target time period into the third suspected reverse trip mobile phone signaling set.

[0035] The fifth determination module is used to take the union of the first suspected reverse mobile phone signaling set, the second suspected reverse mobile phone signaling set, and the third suspected reverse mobile phone signaling set as the final suspected reverse mobile phone signaling set, so as to determine the holder of each mobile phone signaling in the final suspected reverse mobile phone signaling set.

[0036] Furthermore, the first determining module includes:

[0037] The first determining unit is used to determine the duration T of the time period in which the retrograde occurs. d ;

[0038] The acquisition unit is used to obtain the time T of the nth retrograde occurrence. n Corresponding mobile signaling set A n ;

[0039] The decision unit is used in T n +T d The memory is running in reverse and the mobile signaling set A n Corresponding road monitoring and T n +T d If the distance to the location of the road surveillance camera corresponding to the wrong-way traffic is less than a preset distance threshold, then determine T. n +T d The memory corresponds to the mobile phone signaling set A in reverse. n+1 With mobile signaling set A n Does there exist an intersection B? n ;

[0040] The second determining unit is used to determine the existence of intersection B in the judgment unit. n In this case, repeat the operations of acquiring the unit and judging the unit, and take all the intersections as the second mobile signaling set;

[0041] The third determining unit is used to determine in the judgment unit that there is no intersection B. n And in mobile signaling set A n If the number is less than a preset threshold, the mobile signaling set A will be... n As a second mobile signaling set.

[0042] Thirdly, the present invention provides a computer device, including a processor and a memory; wherein, when the processor executes a computer program stored in the memory, it implements the steps of the non-motorized vehicle reverse-traffic person identification method based on mobile phone signaling described in the first aspect.

[0043] Fourthly, the present invention provides a computer-readable storage medium for storing a computer program; when the computer program is executed by a processor, it implements the steps of the non-motorized vehicle reverse-traffic person identification method based on mobile phone signaling described in the first aspect.

[0044] This invention provides a method and system for identifying non-motorized vehicle drivers traveling against traffic based on mobile phone signaling. The method includes acquiring surveillance videos of multiple roads within a day and a first set of mobile phone signaling from non-motorized vehicle drivers within the areas covered by the multiple roads within a day; acquiring the time of occurrence of the traffic violation and the location of the surveillance footage within a day; determining a second set of mobile phone signaling from the first set of mobile phone signaling based on the time of occurrence of the traffic violation and the location of the surveillance footage; determining whether the number of mobile phone signaling in the second set of mobile phone signaling is less than a preset threshold; if it is less than the threshold, then the second set of mobile phone signaling is used as a first suspected traffic violation mobile phone signaling set; if it is not less than the threshold, then the mobile phone signaling in the second set of mobile phone signaling with a total number greater than the preset threshold is used as a first target mobile phone signaling; if the number of times a driver holding the first target mobile phone signaling appears in surveillance videos of multiple roads within a day exceeds a preset threshold, then the first target mobile phone signaling is entered into the second suspected traffic violation mobile phone signaling set; the union of the first and second suspected traffic violation mobile phone signaling sets is used as the final suspected traffic violation mobile phone signaling set to determine the holder of each mobile phone signaling in the final suspected traffic violation mobile phone signaling set. This invention uses multiple angles to screen mobile phone signaling to identify suspected individuals traveling in the wrong direction, enhancing the comprehensiveness of the screening results. By combining data from multiple dimensions, including base station databases, operator databases, road monitoring data, and wrong-direction analysis data, it can more accurately identify individuals, improve the reliability and robustness of the screening results, and avoid false positives and false negatives. Attached Figure Description

[0045] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 A flowchart illustrating a method for identifying non-motorized vehicles traveling in the wrong direction based on mobile phone signaling, provided in an embodiment of the present invention;

[0047] Figure 2 This is a schematic diagram of a non-motorized vehicle passenger identification system based on mobile phone signaling, provided in an embodiment of the present invention. Detailed Implementation

[0048] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] In one embodiment, such as Figure 1 As shown, this embodiment of the invention provides a method for identifying non-motorized vehicles traveling in the wrong direction based on mobile phone signaling, including:

[0050] Step 101: Obtain surveillance videos of multiple roads within a day, as well as the first mobile phone signaling set of non-motorized vehicle drivers within the range of multiple roads within a day.

[0051] The road surveillance system captures video frames every 5 seconds and analyzes them to identify non-motorized vehicles traveling in the wrong direction. If such travel is detected, semantic segmentation is performed on the images of people traveling in the wrong direction, and features of the individuals and their vehicles are extracted. The system outputs the video frame images, the time of the wrong-way travel, the location of the road surveillance system (latitude and longitude), the features of the individuals traveling in the wrong direction, and the semantically segmented images of the individuals traveling in the wrong direction, storing these images in a data warehouse. Each time the signaling data is updated, the base station database transmits mobile phone signaling data to the data warehouse. The data warehouse automatically matches the mobile phone signaling sets recorded by the road surveillance system and the base stations whose signal range covers the road surveillance system, repeating this process continuously. If no non-motorized vehicles traveling in the wrong direction are detected, the captured video frame images are stored in the data warehouse in chronological order according to the road surveillance data, and the data warehouse matches the corresponding mobile phone signaling sets.

[0052] Step 102: Obtain the time and location of the reverse movement within a day.

[0053] Each time a wrong-way traffic alert occurs, the mobile signaling set recorded in the alert is retrieved from the data warehouse to determine the travel mode of the mobile signaling holder (motor vehicle, non-motor vehicle, subway, pedestrian, residential, etc.). For example, by using mobile phones to collect trajectory information of residents' different travel modes, extracting the features of different travel modes and inputting them into machine learning or deep learning algorithms to build classification or clustering models, the travel mode of the mobile signaling holder can be determined.

[0054] Step 103: Determine the second mobile signaling set from the first mobile signaling set based on the time of the reverse traffic occurrence and the location of the monitoring.

[0055] For example, this step includes:

[0056] Step 301: Determine the duration T of the time period in which the retrograde occurs. d .

[0057] Step 302, obtain the time T of the nth retrograde occurrence. n Corresponding mobile signaling set A n .

[0058] Step 303, in T n +T d The memory is running in reverse and the mobile signaling set A n Corresponding road monitoring and T n +T d If the distance to the location of the road surveillance camera corresponding to the wrong-way traffic is less than a preset distance threshold, then determine T. n +T d The memory corresponds to the mobile phone signaling set A in reverse. n+1 With mobile signaling set A n Does there exist an intersection B? n .

[0059] Step 304, if there is an intersection B n Then repeat steps 502-503, and use all intersections as the second mobile signaling set.

[0060] Step 305, if there is no intersection B n Then in mobile signaling set A n If the number is less than a preset threshold, the mobile signaling set A will be... n As a second mobile signaling set.

[0061] For example, starting with the first wrong-way traffic data of the day (A1, T1, P1), where A1 is the mobile signaling set when the first wrong-way traffic occurred, T1 is the time when the first wrong-way traffic occurred, and P1 is the location of the road monitoring corresponding to the first wrong-way traffic, i.e., A n Let T be the set of mobile signaling when the nth reverse line occurs. n Let P be the time when the nth retrograde occurs. n Let T be the location of the road surveillance camera corresponding to the nth wrong-way traffic. d Data exhibiting retrograde behavior within the range of T1 to T1+T is screened. d If (A2, T2, P2) exists within the time range, calculate the distance from P1 to P2. If the distance is less than a preset distance threshold g, find the intersection of A1 and A2. If an intersection B1 exists, then check the distance from T2 to T2+T. d Does (A3, T3, P3) exist within the time range? If so, calculate the distance from P2 to P3. If the distance is less than g, find the intersection of B2 and A3. If an intersection exists in B3, check the distance from T3 to T3+T. d Check if (A4, T4, P4) exists within the time range t, and so on, gradually narrowing down the range.

[0062] If T1 to T1+T d If (A2, T2, P2) is not found within the time range, check if the number of mobile phone signaling sets A1 is less than the preset threshold m; if it is less than m, output the mobile phone signaling set of the person going against the flow; if the distance from P1 to P2 is greater than g, check the distance from T1 to T1+T. d Does (A3, T3, P3) exist within the time range? If so, calculate the distance from P1 to P3. If the distance is less than g, find the intersection of A1 and A3, and so on. If not, check if the number of mobile phone signaling sets A1 is less than the threshold m. If it is less than m, output the mobile phone signaling set of the person going against the flow. If there is no intersection B1, check the distance from T1 to T1+T. d Check if there are still (A3, T3, P3) within the time range t, and so on; then start from the second reverse data of the day (A2, T2, P2), and check from T2 to T2+T. d Does (A3, T3, P3) exist within the time range, and so on?

[0063] Step 104: Determine whether the number of mobile signaling messages in the second mobile signaling set is less than a preset threshold.

[0064] Step 105: If the number is less than the threshold, then the second mobile phone signaling set is used as the first suspected reverse mobile phone signaling set.

[0065] Step 106: If the number is not less than the quantity threshold, then the mobile signaling in the second mobile signaling set whose total number is greater than the preset total number threshold shall be used as the first target mobile signaling.

[0066] In steps 104-106, at the end of the day, each mobile signaling message in the second set of mobile signaling messages that cannot be further narrowed down is assigned a weight. The weight can be calculated based on the frequency of the mobile signaling message in the second set; the more times it appears, the greater the weight. Mobile signaling messages with a weight greater than a threshold w are extracted for trajectory backtracking of the day. Simultaneously, the feature information set E of all individuals traveling in the wrong direction during the day is retrieved from the data warehouse. For the trajectory backtracked by the mobile signaling message, within the time period covered by the base station's signal range, the data warehouse is searched for all video frame images captured by road surveillance cameras within that time period. The data is then used to identify which video frame images show individuals exhibiting characteristics of traveling in the wrong direction. If the frequency of these characteristics appearing in the video frame images within the trajectory exceeds a threshold y, the holder of the mobile signaling message is identified as a person traveling in the wrong direction, resulting in a final set of individuals traveling in the wrong direction. If the frequency of these characteristics appearing in the images within the trajectory is less than y, the holder of the mobile signaling message is not identified as a person traveling in the wrong direction.

[0067] Step 107: If the number of times a driver holding the first target mobile phone signaling appears in multiple road surveillance videos within a day exceeds a preset first-time threshold, the first target mobile phone signaling is entered into the second suspected wrong-way mobile phone signaling set.

[0068] Step 108: Take the union of the first suspected reverse mobile phone signaling set and the second suspected reverse mobile phone signaling set as the final suspected reverse mobile phone signaling set, so as to determine the holder of each mobile phone signaling in the final suspected reverse mobile phone signaling set.

[0069] For example, mobile phone signaling that exceeds a preset second threshold for the number of times a target location is reversed within a target time period is recorded into a third set of suspected reversed mobile phone signaling.

[0070] Every target number of days, retrieve from the data warehouse the mobile phone signaling set, the time of occurrence of the reverse driving phenomenon, and the location (latitude and longitude) of the camera when all reverse driving phenomena occur during that time period. Use data mining to extract the mobile phone signaling of a certain person who frequently reverses driving at a certain time and location, and use it as the mobile phone signaling set of suspected reverse driving personnel.

[0071] The union of the first suspected reverse-travel mobile phone signaling set, the second suspected reverse-travel mobile phone signaling set, and the third suspected reverse-travel mobile phone signaling set is taken as the final suspected reverse-travel mobile phone signaling set. This is used to determine the holder of each mobile phone signaling in the final suspected reverse-travel mobile phone signaling set, that is, to find the reverse-travel personnel by the mobile phone number corresponding to the mobile phone signaling of the reverse-travel personnel.

[0072] This invention uses multiple angles to screen mobile phone signaling to identify suspected individuals traveling in the wrong direction, enhancing the comprehensiveness of the screening results. By combining data from multiple dimensions, including base station databases, operator databases, road monitoring data, and wrong-direction analysis data, it can more accurately identify individuals, improve the reliability and robustness of the screening results, and avoid false positives and false negatives.

[0073] Based on the same inventive concept, this invention also provides a non-motorized vehicle passenger identification system based on mobile phone signaling. Since the principle of this system in solving the problem is similar to the aforementioned non-motorized vehicle passenger identification method based on mobile phone signaling, the implementation of this system can refer to the implementation of the non-motorized vehicle passenger identification method based on mobile phone signaling, and the repeated parts will not be described again.

[0074] In another embodiment, the non-motorized vehicle passenger identification system based on mobile phone signaling provided in this invention, such as... Figure 2 As shown, it includes:

[0075] The first acquisition module 10 is used to acquire surveillance videos of multiple roads within a day and the first mobile phone signaling set of non-motorized vehicle drivers within the range of multiple roads within a day.

[0076] The second acquisition module 20 is used to acquire the time when the reverse movement occurs within a day and the location of the monitoring.

[0077] The first determining module 30 is used to determine the second mobile signaling set from the first mobile signaling set based on the time of the reverse traffic occurrence and the location of the monitoring.

[0078] The judgment module 40 is used to determine whether the number of mobile signaling in the second mobile signaling set is less than a preset number threshold.

[0079] The second determining module 50 is used to determine, when the determining module determines that the number of mobile phone signaling in the second mobile phone signaling set is less than a preset number threshold, that the second mobile phone signaling set is the first suspected reverse mobile phone signaling set.

[0080] The third determining module 60 is used to determine, when the determining module determines that the number of mobile phone signaling in the second mobile phone signaling set is not less than a preset number threshold, that the mobile phone signaling in the second mobile phone signaling set is greater than the preset number threshold as the first target mobile phone signaling.

[0081] The first signaling input module 70 is used to input the first target mobile phone signaling into the second suspected wrong-way driving mobile phone signaling set when the number of times a driver holding the first target mobile phone signaling appears in multiple road monitoring videos within a day exceeds a preset first number threshold.

[0082] The fourth determination module 80 is used to take the union of the first suspected reverse mobile phone signaling set and the second suspected reverse mobile phone signaling set as the final suspected reverse mobile phone signaling set, so as to determine the holder of each mobile phone signaling in the final suspected reverse mobile phone signaling set.

[0083] For example, the non-motorized vehicle passenger identification system based on mobile phone signaling further includes:

[0084] The second signaling input module is used to input the mobile phone signaling of mobile phones that have exceeded the preset second threshold number of reverse trips within the target time period into the third suspected reverse trip mobile phone signaling set.

[0085] The fifth determination module is used to take the union of the first suspected reverse mobile phone signaling set, the second suspected reverse mobile phone signaling set, and the third suspected reverse mobile phone signaling set as the final suspected reverse mobile phone signaling set, so as to determine the holder of each mobile phone signaling in the final suspected reverse mobile phone signaling set.

[0086] For example, the first determining module includes:

[0087] The first determining unit is used to determine the duration T of the time period in which the retrograde occurs. d .

[0088] The acquisition unit is used to obtain the time T of the nth retrograde occurrence.n Corresponding mobile signaling set A n .

[0089] The decision unit is used in T n +T d The memory is running in reverse and the mobile signaling set A n Corresponding road monitoring and T n +T d If the distance to the location of the road surveillance camera corresponding to the wrong-way traffic is less than a preset distance threshold, then determine T. n +T d The memory corresponds to the mobile phone signaling set A in reverse. n+1 With mobile signaling set A n Does there exist an intersection B? n .

[0090] The second determining unit is used to determine the existence of intersection B in the judgment unit. n In this case, the operations of acquiring the unit and judging the unit are repeated, and all intersections are used as the second mobile signaling set.

[0091] The third determining unit is used to determine in the judgment unit that there is no intersection B. n And in mobile signaling set A n If the number is less than a preset threshold, the mobile signaling set A will be... n As a second mobile signaling set.

[0092] For more detailed information on the working process of each of the above modules, please refer to the relevant content disclosed in the foregoing embodiments, which will not be repeated here.

[0093] In another embodiment, the present invention provides a computer device including a processor and a memory; wherein, when the processor executes a computer program stored in the memory, it implements the steps of the above-described method for identifying non-motorized vehicles traveling in the wrong direction based on mobile phone signaling.

[0094] For more detailed information on the above methods, please refer to the relevant content disclosed in the foregoing embodiments, which will not be repeated here.

[0095] In another embodiment, the present invention provides a computer-readable storage medium for storing a computer program; when the computer program is executed by a processor, it implements the steps of the above-described method for identifying non-motorized vehicles traveling in the wrong direction based on mobile phone signaling.

[0096] For more detailed information on the above methods, please refer to the relevant content disclosed in the foregoing embodiments, which will not be repeated here.

[0097] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. The systems, devices, and storage media disclosed in the embodiments are described simply because they correspond to the methods disclosed in the embodiments; relevant details can be found in the method section.

[0098] Those skilled in the art will clearly understand that the techniques in the embodiments of the present invention can be implemented using software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solutions in the embodiments of the present invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or certain parts of the embodiments of the present invention.

[0099] The present invention has been described in detail above with reference to specific embodiments and exemplary examples; however, these descriptions should not be construed as limiting the present invention. Those skilled in the art will understand that various equivalent substitutions, modifications, or improvements can be made to the technical solutions and embodiments of the present invention without departing from the spirit and scope of the invention, and all such modifications and improvements fall within the scope of the present invention. The scope of protection of the present invention is defined by the appended claims.

Claims

1. A method for identifying non-motorized vehicles traveling in the wrong direction based on mobile phone signaling, characterized in that, include: Acquire surveillance videos of multiple roads within a day, as well as the first mobile phone signaling set of non-motorized vehicle drivers within the area of ​​multiple roads within a day; Obtain the time and location of any instances of reverse movement within a single day; The second mobile signaling set is determined from the first mobile signaling set based on the time of the reverse traffic occurrence and the location of the monitoring. Determine whether the number of mobile signaling messages in the second mobile signaling set is less than a preset threshold. If the number is less than the threshold, the second mobile phone signaling set will be used as the first suspected reverse mobile phone signaling set. If the number is not less than the threshold, then the mobile signaling in the second mobile signaling set that has a total number greater than the preset threshold will be used as the first target mobile signaling. If a driver holding the first target mobile phone signaling appears more than the preset first number threshold in multiple road surveillance videos within a day, the first target mobile phone signaling will be entered into the second suspected wrong-way driving mobile phone signaling set; The union of the first suspected reverse-transaction mobile signaling set and the second suspected reverse-transaction mobile signaling set is used as the final suspected reverse-transaction mobile signaling set to determine the holder of each mobile signaling message in the final suspected reverse-transaction mobile signaling set.

2. The method for identifying non-motorized vehicles traveling in the wrong direction based on mobile phone signaling according to claim 1, characterized in that, Also includes: Mobile phone signaling that exceeds the preset second threshold for the number of times it travels in reverse at the target location within the target time period will be entered into the third set of suspected reverse mobile phone signaling; The union of the first suspected reverse-transaction mobile signaling set, the second suspected reverse-transaction mobile signaling set, and the third suspected reverse-transaction mobile signaling set is taken as the final suspected reverse-transaction mobile signaling set, in order to determine the holder of each mobile signaling in the final suspected reverse-transaction mobile signaling set.

3. The method for identifying non-motorized vehicles traveling in the wrong direction based on mobile phone signaling according to claim 1, characterized in that, The step of determining the second mobile signaling set from the first mobile signaling set based on the time of the reverse traffic occurrence and the location of the monitoring includes: Step 301: Determine the duration T of the time period in which the retrograde occurs. d ; Step 302, obtain the time T of the nth retrograde occurrence. n Corresponding mobile signaling set A n ; Step 303, in T n +T d The memory is running in reverse and the mobile signaling set A n Corresponding road monitoring and T n +T d If the distance to the location of the road surveillance camera corresponding to the wrong-way traffic is less than a preset distance threshold, then determine T. n +T d The memory corresponds to the mobile phone signaling set A in reverse. n+1 With mobile signaling set A n Does there exist an intersection B? n ; Step 304, if there is an intersection B n Then repeat steps 502-503, and use all intersections as the second mobile signaling set; Step 305, if there is no intersection B n Then in mobile signaling set A n If the number is less than a preset threshold, the mobile signaling set A will be... n As a second mobile signaling set.

4. A non-motorized vehicle passenger identification system based on mobile phone signaling, characterized in that, include: The first acquisition module is used to acquire surveillance videos of multiple roads within a day and the first mobile phone signaling set of non-motorized vehicle drivers within the range of multiple roads within a day. The second acquisition module is used to obtain the time when the reverse movement occurs within a day and the location of the monitoring. The first determining module is used to determine the second mobile signaling set from the first mobile signaling set based on the time of the reverse traffic occurrence and the location of the monitoring; The judgment module is used to determine whether the number of mobile signaling messages in the second mobile signaling set is less than a preset threshold. The second determining module is used to determine the second mobile signaling set as the first suspected reverse mobile signaling set when the determining module determines that the number of mobile signaling in the second mobile signaling set is less than a preset number threshold. The third determining module is used to determine, when the determining module determines that the number of mobile phone signaling in the second mobile phone signaling set is not less than a preset number threshold, that the mobile phone signaling in the second mobile phone signaling set with a total number greater than the preset number threshold shall be used as the first target mobile phone signaling. The first signaling input module is used to input the first target mobile phone signaling into the second suspected wrong-way mobile phone signaling set when the number of times a driver holding the first target mobile phone signaling appears in multiple road monitoring videos within a day exceeds a preset first number threshold. The fourth determination module is used to take the union of the first suspected reverse-traffic mobile phone signaling set and the second suspected reverse-traffic mobile phone signaling set as the final suspected reverse-traffic mobile phone signaling set, so as to determine the holder of each mobile phone signaling in the final suspected reverse-traffic mobile phone signaling set.

5. The non-motorized vehicle passenger identification system based on mobile phone signaling according to claim 4, characterized in that, Also includes: The second signaling input module is used to input the mobile phone signaling of mobile phones that have exceeded the preset second threshold number of reverse trips within the target time period into the third suspected reverse trip mobile phone signaling set. The fifth determination module is used to take the union of the first suspected reverse mobile phone signaling set, the second suspected reverse mobile phone signaling set, and the third suspected reverse mobile phone signaling set as the final suspected reverse mobile phone signaling set, so as to determine the holder of each mobile phone signaling in the final suspected reverse mobile phone signaling set.

6. The non-motorized vehicle passenger identification system based on mobile phone signaling according to claim 4, characterized in that, The first determining module includes: The first determining unit is used to determine the duration T of the time period in which the retrograde occurs. d ; The acquisition unit is used to obtain the time T of the nth retrograde occurrence. n Corresponding mobile signaling set A n ; The decision unit is used in T n +T d The memory is running in reverse and the mobile signaling set A n Corresponding road monitoring and T n +T d If the distance to the location of the road surveillance camera corresponding to the wrong-way traffic is less than a preset distance threshold, then determine T. n +T d The memory corresponds to the mobile phone signaling set A in reverse. n+1 With mobile signaling set A n Does there exist an intersection B? n ; The second determining unit is used to determine the existence of intersection B in the judgment unit. n In this case, repeat the operations of acquiring the unit and judging the unit, and take all the intersections as the second mobile signaling set; The third determining unit is used to determine in the judgment unit that there is no intersection B. n And in mobile signaling set A n If the number is less than a preset threshold, the mobile signaling set A will be... n As a second mobile signaling set.

7. A computer device, characterized in that, It includes a processor and a memory; wherein, when the processor executes the computer program stored in the memory, it implements the steps of the non-motorized vehicle reverse-traffic person identification method based on mobile phone signaling as described in any one of claims 1-3.

8. A computer-readable storage medium, characterized in that, Used to store computer programs; when the computer programs are executed by a processor, they implement the steps of the non-motorized vehicle reverse-traffic person identification method based on mobile phone signaling as described in any one of claims 1-3.

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